1. H∞ Codesign for Uncertain Nonlinear Control Systems Based on Policy Iteration Method
- Author
-
Bin Xu, Quan-Yong Fan, and Dongsheng Wang
- Subjects
0209 industrial biotechnology ,Mathematical optimization ,Optimization problem ,Iterative method ,Computer science ,Explained sum of squares ,02 engineering and technology ,Nonlinear control ,Computer Science Applications ,Human-Computer Interaction ,020901 industrial engineering & automation ,Control and Systems Engineering ,Control theory ,Convergence (routing) ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Electrical and Electronic Engineering ,Robust control ,Performance improvement ,Software ,Information Systems - Abstract
In this article, the problem of H∞ codesign for nonlinear control systems with unmatched uncertainties and adjustable parameters is investigated. The main purpose is to solve the adjustable parameters and H∞ controller simultaneously so that better robust control performance can be achieved. By introducing a bounded function and defining a special cost function, the problem of solving the Hamilton-Jacobi-Isaacs equation is transformed into an optimization problem with nonlinear inequality constraints. Based on the sum of squares technique, a novel policy iteration algorithm is proposed to solve the problem of the H∞ codesign. Moreover, one modified algorithm for optimizing the robust performance index is given. The convergence and the performance improvement of new iteration policy algorithms are proved. Simulation results are presented to demonstrate the effectiveness of the proposed algorithms.
- Published
- 2022