Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

November 1, 2024


Pages


DOI

Article

Discrete-time Linear Tracking Control Based on Parallel System Theory


Authors

Junjie Gao Affiliation:
The School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
, Mingliang Chen Affiliation:
The State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment, China Nuclear Power Engineering Co. Ltd, Shenzhen 518172, Guangdong, China
and Qinglai Wei Affiliation:
The School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China


Abstract

Inspired by parallel system theory, a novel parallel tracking controller is presented for discrete-time linear systems in this paper. The core point is to model the time derivative of system control, which makes the control system and the control law completely equivalent in mathematical form. First, the architecture of discrete-time linear parallel tracking control is introduced. Then, in the sight of the reachability of control systems, the pole assignment theorems are given. The merits of this presented method comparing with traditional feedback control are analyzed. Eventually, the efficiency of this method is proved through numerical results.


Keywords

Parallel tracking control, Parallel system theory, Parallel control, Discrete-time linear systems, 93C55


Citation

Gao, J., Chen, M., & Wei, Q. (2024). Discrete-time linear tracking control based on parallel system theory. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-2986

Published by: Engineering Journals

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