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Spiking Adaptive Dynamic Programming Based on Poisson Process for Discrete-Time Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:  Wei, Qinglai;  Han, Liyuan;  Zhang, Tielin
Adobe PDF(2904Kb)  |  收藏  |  浏览/下载：216/9  |  提交时间：2022/01/27
Maximum likelihood estimation (MLE)  Nonlinear systems  Optimal control  Poisson process  Spike train  Spiking Adaptive dynamic programming（SADP）  
Dynamic Event-triggered Control and Estimation: A Survey 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 857-886
作者:  Xiaohua Ge;  Qing-Long Han;  Xian-Ming Zhang;  Derui Ding
Adobe PDF(3887Kb)  |  收藏  |  浏览/下载：220/40  |  提交时间：2021/11/26
Networked systems  dynamic event-triggered control  dynamic event-triggered estimation  dynamic event-triggered mechanisms  vehicle active suspension system  water distribution and supply system  
A Unified Optimization-Based Framework to Adjust Consensus Convergence Rate and Optimize the Network Topology in Uncertain Multi-Agent Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1539-1548
作者:  Mohammad Saeed Sarafraz;  Mohammad Saleh Tavazoei
Adobe PDF(1259Kb)  |  收藏  |  浏览/下载：145/39  |  提交时间：2021/09/03
Convergence-rate  element-wise uncertainty  robust controller  topology design  
Radial Basis Function Interpolation and Galerkin Projection for Direct Trajectory Optimization and Costate Estimation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 8, 页码: 1380-1388
作者:  Hossein Mirinejad;  Tamer Inanc;  Jacek M. Zurada
Adobe PDF(985Kb)  |  收藏  |  浏览/下载：131/48  |  提交时间：2021/06/11
Costate estimation  direct trajectory optimization  Galerkin projection  numerical optimal control  radial basis function interpolation  
Learning Convex Optimization Models 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 8, 页码: 1355-1364
作者:  Akshay Agrawal;  Shane Barratt;  Stephen Boyd
Adobe PDF(1593Kb)  |  收藏  |  浏览/下载：178/51  |  提交时间：2021/06/11
Convex optimization  differentiable optimization  machine learning  
Output-Feedback Based Simplified Optimized Backstepping Control for Strict-Feedback Systems with Input and State Constraints 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 6, 页码: 1119-1132
作者:  Jiaxin Zhang;  Kewen Li;  Yongming Li
Adobe PDF(1727Kb)  |  收藏  |  浏览/下载：138/50  |  提交时间：2021/06/11
Backstepping design  immeasurable states  neural-networks (NNs)  optimal control  state constraints  
Continuous-Time Distributed Policy Iteration for Multicontroller Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 5, 页码: 2372-2383
作者:  Wei, Qinglai;  Li, Hongyang;  Yang, Xiong;  He, Haibo
Adobe PDF(1246Kb)  |  收藏  |  浏览/下载：259/49  |  提交时间：2021/06/07
Optimal control  Nonlinear systems  Decentralized control  Mathematical model  Convergence  Multi-agent systems  Adaptive dynamic programming (ADP)  approximate dynamic programming  distributed policy iteration  nonlinear systems  optimal control  
A survey of brain-inspired intelligent robots with integration of vision, decision, motion control and musculoskeletal systems 期刊论文
IEEE Transactions on Cybernetics, 2021, 卷号: 暂无, 期号: 暂无, 页码: 暂无
作者:  Hong Qiao;  Jiahao Chen;  Xiao Huang
Adobe PDF(1001Kb)  |  收藏  |  浏览/下载：230/56  |  提交时间：2021/06/01
Brain-inspired intelligent robots  musculoskeletal robots  visual cognition  decision making  muscle control  
Muscle-synergies-based neuromuscular control for motion learning and generalization of a musculoskeletal system 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, 卷号: 51, 期号: 6, 页码: 3993 - 4006
作者:  Jiahao Chen;  Hong Qiao
Adobe PDF(2688Kb)  |  收藏  |  浏览/下载：235/63  |  提交时间：2021/06/01
Motion generalization  motion learning  muscle synergy  musculoskeletal system  neuromuscular control  
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
Adobe PDF(1163Kb)  |  收藏  |  浏览/下载：256/54  |  提交时间：2021/05/24
Quantum Markov decision processes  quantum machine learning  reinforcement learning  dynamic programming  decision making