Minimax controller design for a class of uncertain linear systems

被引:7
作者
Milliken, P
Marsh, C
van Brunt, B
机构
[1] Massey Univ, Coll Sci, Inst Technol & Engn, Palmerston North, New Zealand
[2] Massey Univ, Coll Sci, Inst Fundamental Sci, Palmerston North, New Zealand
关键词
minimax techniques; structured uncertainty; convex optimisation; state feedback;
D O I
10.1016/S0005-1098(98)00162-9
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper considers the design of minimax controllers for a class of linear systems. The system is perturbed by a known initial condition on the state and by a disturbance process constrainted by an L-2 norm bound. Structured undertainty is represented by perturbation feedback through L-2-induced norm bounded operators. The performance is measured by an integral quadratic cost function. The resultant controllers minimise the worst-case cost for all admissible disturbances and for all admissible systems. The design involves the optimal solution of a parametric algebraic Riccati equation. A new proof of minimax optimality is given using standard methods for linear systems. The multivariable optimisation problem is shown to be convex and the set of feasible parameter values is shown to be compact. Thus, the design procedure is computationally tractable. (C) 1999 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:583 / 590
页数:8
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