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	Switching Event-Triggered Adaptive Resilient Dynamic Surface Control for Stochastic Nonlinear CPSs With Unknown Deception Attacks 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 9 作者: Niu, Ben; Chen, Wendi; Su, Wei; Wang, Huanqing; Wang, Ding 收藏 \| 浏览/下载：20/0 \| 提交时间：2022/11/14 Switches Stochastic processes Security Heuristic algorithms Actuators Nonlinear systems Control design Dynamic surface control (DSC) stochastic nonlinear cyber-physical systems (CPSs) switching threshold event-triggered control unknown deception attacks
	Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1228-1241 作者: Zhu, Yuanheng; Zhao, Dongbin 收藏 \| 浏览/下载：16/0 \| 提交时间：2022/06/10 Games Nash equilibrium Mathematical model Markov processes Convergence Dynamic programming Training Deep reinforcement learning (DRL) generalized policy iteration (GPI) Markov game (MG) Nash equilibrium Q network zero sum
	Optimal Policies for Quantum Markov Decision Processes 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 410-421 作者: Ming-Sheng Ying; Yuan Feng; Sheng-Gang Ying 收藏 \| 浏览/下载：12/0 \| 提交时间：2021/05/24 Quantum Markov decision processes quantum machine learning reinforcement learning dynamic programming decision making
	Dynamic System Identification of Underwater Vehicles Using Multi-output Gaussian Processes 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 681-693 作者: Wilmer Ariza Ramirez 收藏 \| 浏览/下载：109/0 \| 提交时间：2021/09/13 Dependent Gaussian processes dynamic system identification multi-output Gaussian processes non-parametric identification autonomous underwater vehicle (AUV)
	Improved value iteration for neural-network-based stochastic optimal control design 期刊论文 NEURAL NETWORKS, 2020, 卷号: 124, 页码: 280-295 作者: Liang, Mingming; Wang, Ding; Liu, Derong 收藏 \| 浏览/下载：20/0 \| 提交时间：2020/06/02 Adaptive critic designs Adaptive dynamic programming Neural networks Optimal control Stochastic processes Value iteration
	Neuro-optimal control for discrete stochastic processes via a novel policy iteration algorithm 期刊论文 IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 卷号: 50, 期号: 11, 页码: 3972-3985 作者: Liang, Mingming; Wang, Ding; Liu, Derong 收藏 \| 浏览/下载：17/0 \| 提交时间：2020/10/23 Adaptive critic designs adaptive dynamic programming (ADP) local policy iteration neuro-dynamic programming optimal control stochastic processes
	Approximate Dynamic Programming for Stochastic Resource Allocation Problems 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 4, 页码: 975-990 作者: Ali Forootani; Raffaele Iervolino; Massimo Tipaldi; Joshua Neilson 收藏 \| 浏览/下载：10/0 \| 提交时间：2021/03/11 Approximate dynamic programming (ADP) dynamic programming (DP) Markov decision processes (MDPs) resource allocation problem
	Enhancing the Performance of JADE Using Two-phase Parameter Control Scheme and Its Application 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 4, 页码: 462-473 作者: Qin-Qin Fan; Yi-Lian Zhang; Xue-Feng Yan; Zhi-Huan Wang 收藏 \| 浏览/下载：18/0 \| 提交时间：2021/02/23 Differential evolution (DE) algorithm evolutionary computation dynamic optimization control parameter adaptation chemical processes.
	Adaptive Optimal Control of Highly Dissipative Nonlinear Spatially Distributed Processes With Neuro-Dynamic Programming 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 4, 页码: 684-696 作者: Luo, Biao; Wu, Huai-Ning; Li, Han-Xiong 收藏 \| 浏览/下载：19/0 \| 提交时间：2016/03/30 Adaptive optimal control empirical eigenfunction (EEF) highly dissipative partial differential equations (PDEs) neuro-dynamic programming (NDP) spatially distributed processes (SDPs)
	Analyzing Neural Interaction Characteristics in a Monkey's Motor Cortex during Reach-to-Grasp Tasks 期刊论文 IEEE INTELLIGENT SYSTEMS, 2011, 卷号: 26, 期号: 5, 页码: 64-71 作者: Sang, Dong; Lv, Bin; He, Huiguang; Wen, Ding; He, Jiping 收藏 \| 浏览/下载：14/0 \| 提交时间：2015/08/12 Neuroscience Markov processes Neural networks Informatics Bayesian methods Intelligent systems Bioinformatics dynamic Bayesian networks Intelligent systems brain informatics computational neuroscience neural interaction reach-to-grasp task

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