Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics

2016 ◽  
Vol 46 (11) ◽  
pp. 1544-1555 ◽  
Author(s):  
Ding Wang ◽  
Derong Liu ◽  
Qichao Zhang ◽  
Dongbin Zhao
Keyword(s):  
Optimal Control ◽  
Adaptive Critic ◽  
Robust Optimal Control ◽  
Uncertain Dynamics ◽  
Adaptive Critic Designs ◽  
Nonlinear Robust

scholarly journals Adaptive Critic Learning-Based Robust Control of Systems with Uncertain Dynamics

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Jun Zhao ◽  
Qingliang Zeng ◽  
Bin Guo
Keyword(s):  
Optimal Control ◽  
Robust Control ◽  
Control Problem ◽  
Control Method ◽  
System Modeling ◽  
Uncertain System ◽  
Nonsmooth Dynamics ◽  
Adaptive Critic ◽  
Uncertain Dynamics ◽  
Critic Neural Network

Model uncertainties are usually unavoidable in the control systems, which are caused by imperfect system modeling, disturbances, and nonsmooth dynamics. This paper presents a novel method to address the robust control problem for uncertain systems. The original robust control problem of the uncertain system is first transformed into an optimal control of nominal system via selecting the appropriate cost function. Then, we develop an adaptive critic leaning algorithm to learn online the optimal control solution, where only the critic neural network (NN) is used, and the actor NN widely used in the existing methods is removed. Finally, the feasibility analysis of the control algorithm is given in the paper. Simulation results are given to show the availability of the presented control method.

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