Controller Optimization for Multirate Systems Based on Reinforcement Learning
暂无分享,去创建一个
[1] Xinghu Yu,et al. Controller Optimization for Multirate Systems Based on Reinforcement Learning , 2020, Int. J. Autom. Comput..
[2] Weiyang Lin,et al. A model-free fuzzy adaptive trajectory tracking control algorithm based on dynamic surface control , 2020 .
[3] Liu Yang,et al. Training a model-free reinforcement learning controller for a 3-degree-of-freedom helicopter under multiple constraints , 2019, Measurement and Control.
[4] Mohamed Chtourou,et al. Robust Neural Control of Discrete Time Uncertain Nonlinear Systems Using Sliding Mode Backpropagation Training Algorithm , 2019, Int. J. Autom. Comput..
[5] Yuechao Ma,et al. Sampled-data Robust H∞ Control for T-S Fuzzy Time-delay Systems with State Quantization , 2019, International Journal of Control, Automation and Systems.
[6] Zhan Li,et al. Training a robust reinforcement learning controller for the uncertain system based on policy gradient method , 2018, Neurocomputing.
[7] Limin Wang,et al. Fuzzy Iterative Learning Control-based Design of Fault Tolerant Guaranteed Cost Controller for Nonlinear Batch Processes , 2018, International Journal of Control, Automation and Systems.
[8] Dan Wang,et al. Sampled-data Fuzzy Control of Two-wheel Inverted Pendulums Based on Passivity Theory , 2018, International Journal of Control, Automation and Systems.
[9] Bin Hu,et al. Deep Learning Based Hand Gesture Recognition and UAV Flight Controls , 2018, International Journal of Automation and Computing.
[10] Zhan Li,et al. An Approach to Fault Detection for Multirate Sampled-Data Systems With Frequency Specifications , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[11] Min Tan,et al. Sliding Mode Control for Flexible-link Manipulators Based on Adaptive Neural Networks , 2018, Int. J. Autom. Comput..
[12] Triet Nguyen-Van,et al. An Observer Based Sampled-data Control for Class of Scalar Nonlinear Systems Using Continualized Discretization Method , 2018 .
[13] Zsolt Csaba Johanyák,et al. Surrogate Model based Optimization of Traffic Lights Cycles and Green Period Ratios using Microscopic Simulation and Fuzzy Rule Interpolation , 2018 .
[14] Jianbin Qiu,et al. Output Feedback Control of Multirate Sampled-Data Systems With Frequency Specifications , 2017, IEEE Transactions on Control Systems Technology.
[15] Anuradha Annaswamy,et al. Control of Uncertain Sampled-Data Systems: An Adaptive Posicast Control Approach , 2017, IEEE Transactions on Automatic Control.
[16] Haibo He,et al. Event-Triggered Optimal Control for Partially Unknown Constrained-Input Systems via Adaptive Dynamic Programming , 2017, IEEE Transactions on Industrial Electronics.
[17] Wenjie Lu,et al. A Hybrid-Adaptive Dynamic Programming Approach for the Model-Free Control of Nonlinear Switched Systems , 2016, IEEE Transactions on Automatic Control.
[18] Frank L. Lewis,et al. Optimal Output-Feedback Control of Unknown Continuous-Time Linear Systems Using Off-policy Reinforcement Learning , 2016, IEEE Transactions on Cybernetics.
[19] Frank L. Lewis,et al. Optimal model-free output synchronization of heterogeneous systems using off-policy reinforcement learning , 2016, Autom..
[20] Zhong-Ping Jiang,et al. Adaptive Dynamic Programming and Adaptive Optimal Output Regulation of Linear Systems , 2016, IEEE Transactions on Automatic Control.
[21] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.
[22] Honglak Lee,et al. Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning , 2014, NIPS.
[23] Frank L. Lewis,et al. Reinforcement Q-learning for optimal tracking control of linear discrete-time systems with unknown dynamics , 2014, Autom..
[24] Jong Min Lee,et al. A switching robust model predictive control approach for nonlinear systems , 2013 .
[25] Wei Chen,et al. Stabilization of networked control systems with multirate sampling , 2013, Autom..
[26] Rushikesh Kamalapurkar,et al. Concurrent learning-based approximate optimal regulation , 2013, 52nd IEEE Conference on Decision and Control.
[27] F. Lewis,et al. Reinforcement Learning and Feedback Control: Using Natural Decision Methods to Design Optimal Adaptive Controllers , 2012, IEEE Control Systems.
[28] Nan Xiao,et al. Feedback Stabilization of Discrete-Time Networked Systems Over Fading Channels , 2012, IEEE Transactions on Automatic Control.
[29] Huaguang Zhang,et al. Adaptive Dynamic Programming: An Introduction , 2009, IEEE Computational Intelligence Magazine.
[30] Ming Zhu,et al. A novel collaborative scheme of simulation and model checking for system properties verification , 2006, Comput. Ind..
[31] Li Qiu,et al. Direct State Space Solution of Multirate Sampled-Data H2 Optimal Control , 1998, Autom..
[32] P. Shi. Filtering on sampled-data systems with parametric uncertainty , 1998, IEEE Trans. Autom. Control..
[33] Bengt Lennartson,et al. H∞ Control of Multirate Sampled-Data Systems: A State-Space Approach , 1998, Autom..
[34] Patrizio Colaneri,et al. Multirate LQG control of continuous-time stochastic systems , 1995, Autom..
[35] Li Qiu,et al. H∞ design of general multirate sampled-data control systems , 1994, Autom..
[36] D. Meyer. A new class of shift-varying operators, their shift-invariant equivalents, and multirate digital systems , 1990 .
[37] Bernard Friedland,et al. Sampled-data control systems containing periodically varying members , 1960 .
[38] R. Kálmán,et al. A unified approach to the theory of sampling systems , 1959 .
[39] Stefan Preitl,et al. Iterative Feedback and Learning Control. Servo systems applications , 2007 .