Design of an optimal preview controller for linear time-varying discrete systems in a multirate setting

Author:

Liao Fucheng1,Guo Yujian1,Tang Yuan Yan2

Affiliation:

1. School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, P. R. China

2. Department of Computer and Information Science, University of Macau, Avenida da Universidade, Taipa, Macau, P. R. China

Abstract

This paper is concerned with preview control problems for linear time-varying discrete systems in a multirate setting. First, by using the discrete lifting technique, the multirate time-varying discrete system is converted to a formal single-rate system. Then, by applying the standard linear quadratic (LQ) preview control method, we construct the expanded error system, and the optimal preview control model of the common time-varying discrete system is obtained. The optimal control input of the expanded error system is obtained by using the outcome of optimal control theory on time-varying systems. The controller with preview action is obtained when we transfer our conclusion into the original system. Finally, a numerical example is included to illustrate the validity of the proposed method.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Information Systems,Signal Processing

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Preview Control for Cyber–Physical Systems under Periodic Denial-of-Service Attacks;Mathematics;2024-08-27

2. Robust Tracking Control with Preview Action for Uncertain Discrete-time Systems;International Journal of Control, Automation and Systems;2019-11-06

3. Robust Preview Control for Uncertain Discrete Singular Systems;Mathematical Problems in Engineering;2018-11-19

4. Optimal preview control for a class of linear continuous-time large-scale systems;Transactions of the Institute of Measurement and Control;2017-12-04

5. Design of a robust H∞ preview controller for a class of uncertain discrete-time systems;Transactions of the Institute of Measurement and Control;2017-06-01

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