Data-Driven Robust Control of Discrete-Time Uncertain Linear Systems via Off-Policy Reinforcement Learning
Yongliang Yang(University of Science and Technology Beijing), Donald C. Wunsch(Missouri University of Science and Technology), Zhishan Guo(University of Central Florida), Da‐Wei Ding(Nanjing University of Posts and Telecommunications), Haoyi Xiong(National Engineering Laboratory of Deep Learning Technology and Application), Yixin Yin(University of Science and Technology Beijing)
Cited by 93
Related Papers
An innovative information fusion method with adaptive Kalman filter for integrated INS/GPS navigation of autonomous vehicles
|Mechanical Systems and Signal Processing|2017|285
Control Synthesis of Discrete-Time T–S Fuzzy Systems Based on a Novel Non-PDC Control Scheme
|IEEE Transactions on Fuzzy Systems|2012|188
Fuzzy Filter Design for Nonlinear Systems in Finite-Frequency Domain
|IEEE Transactions on Fuzzy Systems|2010|148
Online barrier-actor-critic learning for H∞ control with full-state constraints and input saturation
|Journal of the Franklin Institute|2019|112
<i>H</i> <sub> <b>∞∞</b> </sub> static output feedback control for discrete-time switched linear systems with average dwell time
|IET Control Theory and Applications|2010|88