| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 712985 | IFAC Proceedings Volumes | 2013 | 5 Pages |
Abstract
This paper investigates H∞ predictive control problem for a class of networked control system, and presents a method for quantitatively selecting the control weighting parameter. Based on Lyapunov function approach and H∞ control theory, a generalized predictive state feedback controller is derived to guarantee the closed-loop networked system stable. Then, an algebraic method for selecting a feasible GPC control-weighting parameter is proposed. The contribution realizes the adaptive parameter tuning for GPC with respect to response demands and performance. A simulation example demonstrates the feasibility and practicability of the proposed method.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
