Robust nonlinear feedback control for uncertain linear systems with nonquadratic performance criteria

被引:13
作者
Haddad, WM [1 ]
Chellaboina, VS [1 ]
Fausz, JL [1 ]
机构
[1] Georgia Inst Technol, Sch Aerosp Engn, Atlanta, GA 30332 USA
基金
美国国家科学基金会;
关键词
robust control; nonlinear control; nonquadratic cost; Hamilton-Jacobi-Bellman conditions; Lyapunov bounding functions;
D O I
10.1016/S0167-6911(97)00125-4
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper we develop a unified framework to address the problem of optimal nonlinear robust control for linear uncertain systems. Specifically, we transform a given robust control problem into an optimal control problem by properly modifying the cost functional to account for the system uncertainty. As a consequence, the resulting solution to the modified optimal control problem guarantees robust stability and performance for a class of nonlinear uncertain systems. The overall framework generalizes the classical Hamilton-Jacobi-Bellman conditions to address the design of robust nonlinear optimal controllers for uncertain linear systems. (C) 1998 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:327 / 338
页数:12
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