Adaptive Dynamic Programming Approaches for Robust Stabilization and Tracking Control of Nonlinear Systems
Abstract：In this project, adaptive dynamic programming approaches for robust stabilization and tracking control of nonlinear systems are studied. To overcome the difficulties of designing controllers for nonlinear systems which exist control constraints and uncertainties, as well as completely unknown dynamics, a class of novel theories is established to handle these issues based on adaptive dynamic programming methods. And these new theories will provide new ways to solve the robust stabilization and tracking control problems of nonlinear systems. The main contents of the project include: 1.Research on robust control of uncertain constrained nonlinear systems using adaptive dynamic programming. 2. Research on robust guaranteed cost tracking control of uncertain nonlinear systems based on adaptive dynamic programming. 3. Research on robust optimal control of unknown nonlinear systems via adaptive dynamic programming. 4. Constructing simulation platform for robust stabilization and tracking control of nonlinear systems, and the validity and superiority of the above methods is illustrated by simulation examples. It will bring about novel perspectives for the development of the theory of robust control for nonlinear systems by studying the project. Meanwhile, the project shall generate many research contents of the theories of optimal control and robust control, as well as neural networks. In addition, the project will be beneficial for the further development of the theory of intelligent control and the automation techniques in our country.
Keywords: adaptive dynamic programming; optimal control; robust stabilization; neural network; tracking control
Contact:
YANG Xiong
E-mail: xiong.yang@ia.ac.cn
The State Key Laboratory of Management and Control for Complex Systems