Double Deep Q-Network with a Dual-Agent for Traffic Signal Control
Article
Gu, Jianfeng, Fang, Yong, Sheng, Zhichao and Wen, Peng. 2020. "Double Deep Q-Network with a Dual-Agent for Traffic Signal Control
." Applied Sciences. 10 (5), pp. 1-17. https://doi.org/10.3390/app10051622
| Article Title | Double Deep Q-Network with a Dual-Agent for Traffic Signal Control |
|---|---|
| ERA Journal ID | 211776 |
| Article Category | Article |
| Authors | Gu, Jianfeng, Fang, Yong, Sheng, Zhichao and Wen, Peng |
| Journal Title | Applied Sciences |
| Journal Citation | 10 (5), pp. 1-17 |
| Article Number | 1622 |
| Number of Pages | 17 |
| Year | Mar 2020 |
| Publisher | MDPI AG |
| Place of Publication | Switzerland |
| ISSN | 2076-3417 |
| Digital Object Identifier (DOI) | https://doi.org/10.3390/app10051622 |
| Web Address (URL) | https://www.mdpi.com/2076-3417/10/5/1622 |
| Abstract | Adaptive traffic signal control (ATSC) based on deep reinforcement learning (DRL) has shown promising prospects to reduce traffic congestion. Most existing methods keeping traffic signal phases fixed adopt two agent actions to match a four-phase suffering unstable performance and undesirable operation in a four-phase signalized intersection. In this paper, a Double Deep Q-Network (DDQN) with a dual-agent algorithm is proposed to obtain a stable traffic signal control policy. Specifically, two agents are denoted by two different states and shift the control of green lights to make the phase sequence fixed and control process stable. State representations and reward functions are presented by improving the observability and reducing the leaning difficulty of two agents. To enhance the feasibility and reliability of two agents in the traffic control of the four-phase signalized intersection, a network structure incorporating DDQN is proposed to map states to rewards. Experiments under Simulation of Urban Mobility (SUMO) are carried out, and results show that the proposed traffic signal control algorithm is effective in improving traffic capacity. |
| Keywords | adaptive traffic signal control; deep reinforcement learning; Double Deep Q-Network |
| ANZSRC Field of Research 2020 | 400899. Electrical engineering not elsewhere classified |
| Byline Affiliations | Shanghai University, China |
| University of Southern Queensland |
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Li, Yan and Wen, Peng. 2013. "Identification of motor imagery tasks through CC–LR algorithm in brain computer interface." International Journal of Bioinformatics Research and Applications. 9 (2), pp. 156-172. https://doi.org/10.1504/IJBRA.2013.052447Comparisons between motor area EEG and all-channels EEG for two algorithms in motor imagery task classification
Li, Yan and Wen, Peng (Paul). 2014. "Comparisons between motor area EEG and all-channels EEG for two algorithms in motor imagery task classification." Biomedical Engineering: Applications, Basis and Communications. 26 (3), pp. 1-10. https://doi.org/10.4015/S1016237214500409Assessment of electric field distribution in anisotropic cortical and subcortical regions under the influence of tDCS
Shahid, Salman, Wen, Peng and Ahfock, Tony. 2014. "Assessment of electric field distribution in anisotropic cortical and subcortical regions under the influence of tDCS." Bioelectromagnetics. 35 (1), pp. 41-57. https://doi.org/10.1002/bem.21814Chaos-modified detrended moving average methodology for monitoring the depth of anaesthesia
Nguyen-Ky, T., Wen, Peng and Li, Yan. 2013. "Chaos-modified detrended moving average methodology for monitoring the depth of anaesthesia." International Journal of Emerging Trends in Signal Processing. 1 (2), pp. 1-8.Simulation study of pO2 distribution in induced tumour masses and normal tissues within a microcirculation environment
Li, Mao, Li, Yan and Wen, Peng (Paul). 2014. "Simulation study of pO2 distribution in induced tumour masses and normal tissues within a microcirculation environment." Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization. 17 (4), pp. 334-343. https://doi.org/10.1080/10255842.2012.683428Consciousness, EEG and depth of anaesthesia monitoring
Wen, Peng. 2012. "Consciousness, EEG and depth of anaesthesia monitoring." Physical and Engineering Sciences in Medicine. 35 (4), pp. 389-392. https://doi.org/10.1007/s13246-012-0176-7An efficient visibility graph similarity algorithm and its application for sleep stages classification
Zhu, Guohun, Li, Yan and Wen, Peng Paul. 2012. "An efficient visibility graph similarity algorithm and its application for sleep stages classification." Zanzotto, Fabio Massimo, Tsumoto, Shusaku, Taatgen, Niels and Yao, Yiyu (ed.) 2012 International Conference on Brain Informatics (BI 2012). Macau, China 04 - 07 Dec 2012 Heidelberg, Germany. Springer. https://doi.org/10.1007/978-3-642-35139-6_18Analysing epileptic EEGs with a visibility graph algorithm
Zhu, Guohun, Li, Yan and Wen, Peng (Paul). 2012. "Analysing epileptic EEGs with a visibility graph algorithm." Chen, Qianbin, Huan, Jun (Luke), Xu, Yong, Zhang, Tianqi and Wang, Lipo (ed.) 5th International Conference on Biomedical Engineering and Informatics (BMEI 2012). Chongqing, China 16 - 18 Oct 2012 Piscataway, NJ. United States. https://doi.org/10.1109/BMEI.2012.6513212Measuring the hypnotic depth of anaesthesia based on the EEG signal using combined wavelet transform, eigenvector and normalisation techniques
Nguyen-Ky, Tai, Wen, Peng, Li, Yan and Malan, Mel. 2012. "Measuring the hypnotic depth of anaesthesia based on the EEG signal using combined wavelet transform, eigenvector and normalisation techniques." Computers in Biology and Medicine. 42 (6), pp. 680-691. https://doi.org/10.1016/j.compbiomed.2012.03.004Model based predictive control of depth of anaesthesia
Abdulla, Shahab, Wen, Peng, Zude, Zhou and Quan, Liu. 2012. "Model based predictive control of depth of anaesthesia." Chih-Hsing, Chu, Smith, Shana and Hong, Hocheng (ed.) 2012 International Conference on Innovative Design and Manufacturing (ICIDM 2012). Taipei, Taiwan 12 - 14 Dec 2012 Taiwan.Effects of model complexity and tissue anisotropic conductivity on cortical modulation during transcranial direct current stimulation
Shahid, S., Wen, P. and Ahfock, T.. 2012. "Effects of model complexity and tissue anisotropic conductivity on cortical modulation during transcranial direct current stimulation." IET Science, Measurement and Technology. 6 (6), pp. 464-473. https://doi.org/10.1049/iet-smt.2012.0014Numerical investigation of white matter anisotropic conductivity in defining current distribution under tDCS
Shahid, Salman, Wen, Peng and Ahfock, Tony. 2013. "Numerical investigation of white matter anisotropic conductivity in defining current distribution under tDCS." Computer Methods and Programs in Biomedicine. 109 (1), pp. 48-64. https://doi.org/10.1016/j.cmpb.2012.09.001Tumor-induced effects on PO2 distribution in a normal tissue
Li, Mao, Li, Yan and Wen, Peng (Paul). 2012. "Tumor-induced effects on PO2 distribution in a normal tissue." Zhang, Yuan-Ting, Naghavi, Morteza, Bonato, Paolo and Carmen, C. Y. Poon (ed.) 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics: Global Grand Challenge of Health Informatics (BHI 2012). Hong Kong and Shenzhen, China 02 - 07 Jan 2012 Hong Kong, China. https://doi.org/10.1109/BHI.2012.6211594The effects of time-delay on feedback control of depth of anesthesia
Abdulla, Shahab A. and Wen, Peng. 2012. "The effects of time-delay on feedback control of depth of anesthesia." Zhang, Yuan-Ting, Naghavi, Morteza, Bonato, Paolo and Carmen, C. Y. Poon (ed.) 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics: Global Grand Challenge of Health Informatics (BHI 2012). Hong Kong and Shenzhen, China 02 - 07 Jan 2012 Hong Kong, China. https://doi.org/10.1109/BHI.2012.6211747Depth of anaesthesia control investigation using robust deadbeat control technique
Abdulla, Shahab and Wen, Peng. 2012. "Depth of anaesthesia control investigation using robust deadbeat control technique." Tetsuo, Kobayashi, Tetsuo, Touge, Hisao, Tachibana and Jinglong, Wu (ed.) 2012 International Conference on Complex Medical Engineering (ICME 2012). Kobe, Japan 01 - 04 Jul 2012 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2012.6275636Measuring and reflecting depth of anesthesia using wavelet and power spectral density
Nguyen-Ky, Tai, Wen, Peng, Li, Yan and Gray, Robert. 2011. "Measuring and reflecting depth of anesthesia using wavelet and power spectral density." IEEE Transactions on Information Technology in Biomedicine. 15 (4), pp. 630-639. https://doi.org/10.1109/TITB.2011.2155081Clustering technique-based least square support vector machine for EEG signal classification
Siuly, S., Li, Yan and Wen, Peng (Paul). 2011. "Clustering technique-based least square support vector machine for EEG signal classification." Computer Methods and Programs in Biomedicine. 104 (3), pp. 358-372. https://doi.org/10.1016/j.cmpb.2010.11.014Twin rotor system modelling de-coupling and optimal control
Wen, Peng and Li, Yan. 2011. "Twin rotor system modelling de-coupling and optimal control." ICMA 2011: IEEE International Conference on Mechatronics and Automation. Beijing, China 07 - 10 Aug 2011 Piscataway, NJ. United States. https://doi.org/10.1109/ICMA.2011.5986259Evaluating functional connectivity in alcoholics based on maximal weight matching
Zhu, Guohun, Li, Yan and Wen, Peng. 2011. "Evaluating functional connectivity in alcoholics based on maximal weight matching." Journal of Advanced Computational Intelligence and Intelligent Informatics. 15 (9), pp. 1221-1227.EEG signal classification based on simple random sampling technique with least square support vector machine
Li, Yan and Wen, Peng. 2011. "EEG signal classification based on simple random sampling technique with least square support vector machine." International Journal of Biomedical Engineering and Technology. 7 (4), pp. 390-409. https://doi.org/10.1504/IJBET.2011.044417Convection drying process modeling and simulation study based on tomato
Shahab, Anna, Wen, Peng and Richard, George. 2009. "Convection drying process modeling and simulation study based on tomato." Giannoccaro, Nicola Ivan and Klingajay, Mongkorn (ed.) International Conference on Robotics, Informatics, Intelligence Control System Technology (RIIT 2009). Bangkok, Thailand 11 - 14 Dec 2009 Bangkok, Thailand.Real-time pressure monitoring and control of a hydraulic system without sensor
Peng, Tianshu, Struthers, Craig and Wen, Peng. 2009. "Real-time pressure monitoring and control of a hydraulic system without sensor." Wen, Peng, Li, Yuefeng, Polkowski, Lech, Yao, Yiyu, Tsumoto, Shusaku and Wang, Guoyin (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Berlin, Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_59Classification of EEG signals using sampling techniques and least square support vector machines
Li, Yan and Wen, Peng. 2009. "Classification of EEG signals using sampling techniques and least square support vector machines." Wen, Peng (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_47EEG analysis on skull conductivity perturbations using realistic head model
Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2009. "EEG analysis on skull conductivity perturbations using realistic head model." Wen, Peng, Li, Yuefeng, Polkowski, Lech, Yao, Yiyu, Tsumoto, Shusaku and Wang, Guoyin (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_26Minimum packet drop sequences based networked control system model with embedded Markov chain
Wen, Peng and Li, Yan. 2009. "Minimum packet drop sequences based networked control system model with embedded Markov chain." Simulation Modelling Practice and Theory. 17 (10), pp. 1635-1641. https://doi.org/10.1016/j.simpat.2009.07.003PID controller evaluation with missing samples in a networked control system using spline interpolation method
Ghude, Sarang and Wen, Paul. 2009. "PID controller evaluation with missing samples in a networked control system using spline interpolation method." Chan, Lee Soon (ed.) International Conference on Computer and Automation Engineering (ICCAE 2009). Bangkok, Thailand 08 - 10 Mar 2009 United States. https://doi.org/10.1109/ICCAE.2009.76Engineering education - undergraduate and masters: China and down under
Ku, Harry, Wen, Paul, Xiang, Wei and Goh, Steven. 2009. "Engineering education - undergraduate and masters: China and down under." Kestell, Colin, Grainger, Steven and Cheung, John (ed.) 20th Annual Conference for the Australasian Association of Engineering Education (AAEE 2009). Adelaide, Australia 06 - 09 Dec 2009 Adelaide, Australia.A Prototype Biometric Security Authentication System Based upon Fingerprint Recognition
Xiang, Wei, Desai, Bhavin, Wen, Paul, Wang, Yafeng and Peng, Tianshu. 2009. "A Prototype Biometric Security Authentication System Based upon Fingerprint Recognition." Wen, Peng, Li, Yuefeng, Polkowski, Lech, Yao, Yiyu, Tsumoto, Shusaku and Wang, Guoyin (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_33Theoretical basis for identification of different anesthetic states based on routinely recorded EEG during operation
Nguyen-Ky, T., Wen, Peng and Li, Yan. 2009. "Theoretical basis for identification of different anesthetic states based on routinely recorded EEG during operation." Computers in Biology and Medicine. 39 (1), pp. 40-45. https://doi.org/10.1016/j.compbiomed.2008.10.007Effects of white matter on EEG of multi-layered spherical head models
Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2008. "Effects of white matter on EEG of multi-layered spherical head models." Hoque, Aminul and Choudhury, Mohammad (ed.) 5th International Conference on Electrical and Computer Engineering (ICECE 2008). Dhaka, Bangladesh 20 - 22 Dec 2008 Bangladesh. https://doi.org/10.1109/ICECE.2008.4769173A study of white matter and skull inhomogeneous anisotropic tissue conductivities on EEG forward head modeling
Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2008. "A study of white matter and skull inhomogeneous anisotropic tissue conductivities on EEG forward head modeling." Karim, Mohammad (ed.) DMAI 2008: 1st IEEE International Workshop on Data Mining and Artificial Intelligence. Khulna, Bangladesh 24 - 27 Dec 2008 Bangladesh. https://doi.org/10.1109/ICCITECHN.2008.4803103Tension control of a winding machine for rectangular coils
Wen, Peng, Stapleton, Cary and Li, Yan. 2008. "Tension control of a winding machine for rectangular coils." Wen, Changyun and Pham, Thuong Cat (ed.) 10th International Conference on Control, Automation, Robotics and Vision (ICARCV 2008). Hanoi, Vietnam 17 - 20 Dec 2008 United States. https://doi.org/10.1109/ICARCV.2008.4795843Influence of white matter inhomogeneous anisotropy on EEG forward computing
Bashar, R., Li, Y. and Wen, P.. 2008. "Influence of white matter inhomogeneous anisotropy on EEG forward computing." Physical and Engineering Sciences in Medicine. 31 (2), pp. 122-130. https://doi.org/10.1007/BF03178586Time optimal and robust control of twin rotor system
Lu, Te-Wei and Wen, Peng. 2007. "Time optimal and robust control of twin rotor system." Wang, Jianliang and Huang, Jie (ed.) ICCA 2007: 6th IEEE International Conference on Control and Automation. Guangzhou, China 30 May - 01 Jun 2007 Piscataway, N.J. United States. https://doi.org/10.1109/ICCA.2007.4376479Realistic human head model for EEG from both the geometry and conductivity aspects
Wen, Peng and Pope, Kenneth. 2003. "Realistic human head model for EEG from both the geometry and conductivity aspects." Professor Yogesh K Dwivedi. 26 (1), pp. 1-5.An index of depth of anaesthesia based on wavelet analysis of middle latency auditory evoked potentials
Wang, Zicong, Li, Yingchun, Wen, Peng and Meng, Max Q.-H.. 2007. "An index of depth of anaesthesia based on wavelet analysis of middle latency auditory evoked potentials." 2007 IEEE/ICM International Conference on Complex Medical Engineering (CME 2007). Beijing, China 23 - 27 May 2007 Beijing, China. https://doi.org/10.1109/ICCME.2007.4381758Accurately monitoring the depth of anaesthesia using an intelligent method
Li, Yingchun, Wang, Zicong, Wen, Peng and Meng, Max Q.-H.. 2007. "Accurately monitoring the depth of anaesthesia using an intelligent method." 2007 IEEE/ICM International Conference on Complex Medical Engineering (CME 2007). Beijing, China 23 - 27 May 2007 Beijing, China. https://doi.org/10.1109/ICCME.2007.4381761Monitoring depth of anaesthesia using auditory evoked potential and bispectrum
Wang, Zicong, Li, Yingchun, Wen, Peng and Meng, Max Q.-H.. 2007. "Monitoring depth of anaesthesia using auditory evoked potential and bispectrum." 2007 IEEE International Conference on Integration Technology. Shenzhen, China 20 - 24 Mar 2007 Shenzhen, China. https://doi.org/10.1109/ICITECHNOLOGY.2007.4290486Networked PID control system modeling and simulation using Markov chain
Teng, Lanzhi and Wen, Peng. 2007. "Networked PID control system modeling and simulation using Markov chain." 2007 IEEE International Conference on Integration Technology. Shenzhen, China 20 - 24 Mar 2007 Shenzhen, China.A novel attribute reduction algorithm based on peer-to-peer technique and rough set theory
Ma, Guangzhi, Lu, Yansheng, Wen, Peng and Song, Engmin. 2010. "A novel attribute reduction algorithm based on peer-to-peer technique and rough set theory." Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Brisbane, Australia. https://doi.org/10.1109/ICCME.2010.5558832Fruit drying process: analysis, modeling and simulation
Abdulla, Shahab, Wen, Paul, Landers, Richard and Yousif, B. F.. 2011. "Fruit drying process: analysis, modeling and simulation." Scientific Research and Essays. 6 (23), pp. 4915-4924.Wireless sensor home automation networks based upon Sun SPOT
Wang, Gengkun, Xiang, Wei, Chen, Haoyu and Wen, Peng. 2011. "Wireless sensor home automation networks based upon Sun SPOT." ICSSC 2011: IET International Conference on Smart and Sustainable City (IET ICSSC2011). Shanghai, China 06 - 08 Jul 2011 NJ. United States. https://doi.org/10.1049/cp.2011.0295Effect of fat and muscle tissue conductivity on cortical currents - a tDCS study
Shahid, Salman, Wen, Peng and Ahfock, Tony. 2011. "Effect of fat and muscle tissue conductivity on cortical currents - a tDCS study." Guo, Shuxiang, Touge, Tetsuo and Xiufen, Ye (ed.) 2011 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2011). Harbin, China 22 - 25 May 2011 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2011.5876735Stability analysis of model-based networked control system with unreliable links
Teng, Lanzhi and Wen, Peng. 2009. "Stability analysis of model-based networked control system with unreliable links." Wen, Peng, Li, Yuefeng, Polkowski, Lech, Yao, Yiyu, Tsumoto, Shusaku and Wang, Guoyin (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Berlin, Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_48Uncertainty and sensitivity analysis for anisotropic inhomogeneous head tissue conductivity in human head modelling
Bashar, M. R., Li, Y. and Wen, P.. 2010. "Uncertainty and sensitivity analysis for anisotropic inhomogeneous head tissue conductivity in human head modelling." Physical and Engineering Sciences in Medicine. 33 (2), pp. 145-152. https://doi.org/10.1007/s13246-010-0015-7Monitoring the depth of anesthesia using discrete wavelet transform and power spectral density
Nguyen-Ky, T., Wen, Peng and Li, Yan. 2009. "Monitoring the depth of anesthesia using discrete wavelet transform and power spectral density." Wen, Peng, Li, Yuefeng, Polkowski, Lech, Yao, Yiyu, Tsumoto, Shusaku and Wang, Guoyin (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_44Improving the accuracy of depth of anaesthesia using modified detrended fluctuation analysis method
Nguyen-Ky, T., Wen, Peng and Li, Yan. 2010. "Improving the accuracy of depth of anaesthesia using modified detrended fluctuation analysis method." Biomedical Signal Processing and Control. 5 (1), pp. 59-65. https://doi.org/10.1016/j.bspc.2009.03.001Depth of anaesthesia: measuring or guessing?
Landers, Richard, Wen, Peng and Pather, Selvan. 2010. "Depth of anaesthesia: measuring or guessing?" Kuo, Way, Tsui, Lap Chee and Sung, Jao Yiu (ed.) IEEE/NANOMED 2010: Promoting Good Health with Nanotechnology. Hong Kong, China 05 - 09 Dec 2010 Hong Kong. https://doi.org/10.1109/NANOMED.2010.5749809A systematic study of head tissue inhomogeneity and anisotropy on EEG forward problem computing
Bashar, M. R., Li, Y. and Wen, P.. 2010. "A systematic study of head tissue inhomogeneity and anisotropy on EEG forward problem computing." Physical and Engineering Sciences in Medicine. 33 (1), pp. 11-21. https://doi.org/10.1007/s13246-010-0009-5De-noising a raw EEG signal and measuring depth of anaesthesia for general anaesthesia patients
Nguyen-Ky, T., Wen, Peng, Li, Yan and Gray, Robert. 2010. "De-noising a raw EEG signal and measuring depth of anaesthesia for general anaesthesia patients." Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Brisbane, Australia. https://doi.org/10.1109/ICCME.2010.5558834Effects of head geometry and coil position on field distribution under transcranial magnetic stimulation
Shahid, Salman, Wen, Peng, Ahfock, Tony and Leis, John. 2011. "Effects of head geometry and coil position on field distribution under transcranial magnetic stimulation." MECBME 2011: Connecting Professionals in Biomedical Sciences and Technology. Sharjah, United Arab Emirates 21 - 24 Feb 2011 Red Hook, NY. United States. https://doi.org/10.1109/MECBME.2011.5752158Reflection type Q-factor measurement using standard least squares methods
Shahid, S., Ball, J. A. R., Wells, C. G. and Wen, P.. 2011. "Reflection type Q-factor measurement using standard least squares methods." IET Microwaves, Antennas and Propagation. 5 (4), pp. 426-432. https://doi.org/10.1049/iet-map.2010.0395Effects of local tissue conductivity on spherical and realistic head models
Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2010. "Effects of local tissue conductivity on spherical and realistic head models." Physical and Engineering Sciences in Medicine. 33 (3), pp. 233-242. https://doi.org/10.1007/s13246-010-0027-3An improved detrended moving-average method for monitoring the depth of anesthesia
Nguyen-Ky, T., Wen, Peng and Li, Yan. 2010. "An improved detrended moving-average method for monitoring the depth of anesthesia." IEEE Transactions on Biomedical Engineering. 57 (10), pp. 2369-2378. https://doi.org/10.1109/TBME.2010.2053929Robust internal model control for depth of anaesthesia
Abdulla, Shahab Anna and Wen, Peng. 2011. "Robust internal model control for depth of anaesthesia." International Journal of Mechatronics and Automation. 1 (1), pp. 1-8. https://doi.org/10.1504/IJMA.2011.039150Study of EEGs from somatosensory cortex and Alzheimer's disease sources
Bashar, Md. R., Li, Yan and Wen, Peng. 2012. "Study of EEGs from somatosensory cortex and Alzheimer's disease sources." International Journal of Biological and Life Sciences. 8 (2), pp. 62-66.Investigation of bispectral index filtering and improvement using wavelet transform adaptive filter
Palendeng, Mario Elvis, Wen, Peng and Goh, Steven. 2010. "Investigation of bispectral index filtering and improvement using wavelet transform adaptive filter." Kuo, Way, Tsui, Lap Chee and Sung, Jao Yiu (ed.) 4th IEEE International Conference on Nano/Molecular Medicine and Engineering (NANOMED 2010). Hong Kong, China 05 - 09 Dec 2010 Piscataway, NJ. United States. https://doi.org/10.1109/NANOMED.2010.5749796Analysis and classification of EEG signals using a hybrid clustering technique
Li, Y. and Wen, P.. 2010. "Analysis and classification of EEG signals using a hybrid clustering technique." Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2010.5558875The design and investigation of model based internal model control for the regulation of hypnosis
Abdulla, Shahab, Wen, Peng and Xiang, Wei. 2010. "The design and investigation of model based internal model control for the regulation of hypnosis." Kuo, Way, Tsui, Lap Chee and Sung, Jao Yiu (ed.) IEEE/NANOMED 2010: Promoting Good Health with Nanotechnology. Hong Kong, China 05 - 09 Dec 2010 Hong Kong. https://doi.org/10.1109/NANOMED.2010.5749833Effects of the local skull and spongiosum conductivities on realistic head modeling
Bashar, M. R., Li, Y. and Wen, P.. 2010. "Effects of the local skull and spongiosum conductivities on realistic head modeling." Li, Y., Yang, Jiajia, Wen, P. and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2010.5558877Analytic and numeric evaluation of EEG forward problem using spherical volume conductor models
Shahid, Salman and Wen, Peng. 2010. "Analytic and numeric evaluation of EEG forward problem using spherical volume conductor models." Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2010.5558878Engineering education in China and Australia: addressing the demand-supply gap
Ku, Siu Lung Harry, Wen, Peng and Xiang, Wei. 2010. "Engineering education in China and Australia: addressing the demand-supply gap." Hong Kong Institution of Engineers, Transactions. 17 (2), pp. 20-26.Depth of anesthesia control using internal model control techniques
Anna, Shahab and Wen, Peng. 2010. "Depth of anesthesia control using internal model control techniques." Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2010.5558825Non-layered human head model for EEG
Wen, Peng and Li, Yan. 2003. "Non-layered human head model for EEG." IEEE EMBS Asian-Pacific Conference on Biomedical Engineering (2003). Kyoto, Japan 20 - 22 Oct 2003 Piscataway, NJ, United States.Methods for the blind signal separation problem
Li, Yan, Wen, Peng and Powers, David. 2003. "Methods for the blind signal separation problem." ICNNSP 2003: International Conference on Neural Networks and Signal Processing. Nanjing, China 14 - 17 Dec 2003 Piscataway, NJ. United States. https://doi.org/10.1109/ICNNSP.2003.1281131An ensemble learning algorithm for blind signal separation problem
Li, Yan and Wen, Peng. 2005. "An ensemble learning algorithm for blind signal separation problem." 2005 International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 2005). Vienna, Austria 28 - 30 Nov 2005 Washington, DC, united States.Data missing and make-up work studies over a PIDn networked control system
Teng, Lanzhi and Wen, Peng. 2008. "Data missing and make-up work studies over a PIDn networked control system." Arabnia, Hamid R. and Deligiannidis, Leonidas (ed.) MSV 2008: International Conference on Modeling, Simulation and Visualization Methods. Las Vegas, United States 14 - 17 Jul 2008 Las Vegas, NV. USA.Automated vehicle classification system for AUSTROADS standard based upon laser sensor technology
Xiang, Wei, Otto, Colin W. and Wen, Peng. 2009. "Automated vehicle classification system for AUSTROADS standard based upon laser sensor technology." Australian Journal of Electrical and Electronics Engineering. 5 (2), pp. 95-106.Decoupling control of a twin rotor MIMO system using robust deadbeat control technique
Wen, P. and Lu, T.-W.. 2008. "Decoupling control of a twin rotor MIMO system using robust deadbeat control technique." IET Control Theory and Applications. 2 (11), pp. 999-1007. https://doi.org/10.1049/iet-cta:20070335Model-based networked control system stability based on packet drop distributions
Teng, Lanzhi, Wen, Peng and Xiang, Wei. 2008. "Model-based networked control system stability based on packet drop distributions." Wen, Changyun and Pham, Thuong Cat (ed.) 10th International Conference on Control, Automation, Robotics and Vision (ICARCV 2008). Hanoi, Vietnam 17 - 20 Dec 2008 Piscataway, NJ. United States. https://doi.org/10.1109/ICARCV.2008.4795567Modified detrended fluctuation analysis method in depth of anesthesia assessment application
Nguyen-Ky, T., Wen, Peng and Li, Yan. 2008. "Modified detrended fluctuation analysis method in depth of anesthesia assessment application." Arabnia, Hamid R. (ed.) BIOCOMP 2008: International Conference on Bioinformatics and Computational Biology. Las Vegas, United States 14 - 17 Jul 2008 Las Vegas, NV. USA.Tissue conductivity anisotropy inhomogeneity study in EEG head modelling
Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2008. "Tissue conductivity anisotropy inhomogeneity study in EEG head modelling." BIOCOMP 2008: International Conference on Bioinformatics and Computational Biology. Las Vegas, United States 14 - 17 Jul 2008 Las Vegas, NV. USA.Automated vehicle classification system using advanced noise reduction technology
Xiang, Wei, Otto, Colin and Wen, Peng. 2008. "Automated vehicle classification system using advanced noise reduction technology." Wysocki, Beata J. and Wysocki, Tadeusz A. (ed.) 2007 1st International Conference on Signal Processing and Communication Systems (ICSPCS 2007). Gold Coast, Australia 17 - 19 Dec 2007 Wollongong, Australia.Service-mining based on knowledge and customer databases
Li, Yan, Wen, Peng, Wang, Hu and Gong, Chunqiang. 2007. "Service-mining based on knowledge and customer databases." Zhang, Zili and Siekmann, Jorg (ed.) 2nd International Conference on Knowledge Science, Engineering, and Management (KSEM 2007). Melbourne, Australia 28 - 30 Nov 2007 Berlin, Germany. Springer. https://doi.org/10.1007/978-3-540-76719-0_63Design of high-performance networked real-time control systems
Wen, Peng, Cao, Jiannong and Li, Yan. 2007. "Design of high-performance networked real-time control systems." IET Control Theory and Applications. 1 (5), pp. 1329-1335. https://doi.org/10.1049/iet-cta:20060424An internet based supervision control and data acquisition system with fault tolerance
Wen, Peng and Li, Yan. 2004. "An internet based supervision control and data acquisition system with fault tolerance." 2004 International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 2004). Gold Coast, Australia 12 - 14 Jul 2004 Washington, DC, united States.Deadline fault tolerance in a networked real-time system
Wen, Peng and Li, Yan. 2006. "Deadline fault tolerance in a networked real-time system." 4th International Conference on Active Media Technology (AMT 2006). Brisbane, Australia 07 - 09 Jun 2006 United States.The impact of inhomogeneous tissue anisotropy on potential distribution within head model
Wen, Peng. 2003. "The impact of inhomogeneous tissue anisotropy on potential distribution within head model." Professor Yogesh K Dwivedi. 26 (3), pp. 87-90.EEG human head modelling based on heterogeneous tissue conductivity
Wen, Peng and Li, Yan. 2006. "EEG human head modelling based on heterogeneous tissue conductivity." Professor Yogesh K Dwivedi. 29 (3), pp. 235-240.The real-time computing model for a network based control system
Wen, Peng and Li, Yan. 2004. "The real-time computing model for a network based control system." 8th International Conference on Control, Automation, Robotics and Vision (ICARCV 2004) . Kunming, China 06 - 09 Dec 2004 United States.Bayesian model for brain computation
Li, Yan and Wen, Peng. 2005. "Bayesian model for brain computation." Wu, Jinglong and Ito, Koji (ed.) 1st International Conference on Complex Medical Engineering (CME 2005). Takamatsu, Japan 15 - 18 May 2005 Kagawa, Japan.Electronic height indicator for agricultural machines
Wen, Peng and Kidd, Jason G.. 2005. "Electronic height indicator for agricultural machines." Australian Journal of Electrical and Electronics Engineering. 2 (1), pp. 13-20.Preliminary investigation of the digital human head
McCarthy, Elizabeth and Wen, Peng. 2005. "Preliminary investigation of the digital human head." Wu, Jinglong and Ito, Koji (ed.) 1st International Conference on Complex Medical Engineering (CME 2005). Takamatsu, Japan 15 - 18 May 2005 Kagawa, Japan.Comparison study of different head model structures with homogeneous/inhomogeneous conductivity
Wen, P. and Li, Y.. 2001. "Comparison study of different head model structures with homogeneous/inhomogeneous conductivity." Physical and Engineering Sciences in Medicine. 24 (1), pp. 31-36. https://doi.org/10.1007/BF03178283This item comprises data from the following sources: Web of Science