Predictor-Based Feedback Control for Discrete-Time Time-Variant Linear State-Delayed Systems With Distinct Input Delays via State Transition Matrices

IF 10.5 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Cybernetics Pub Date : 2025-03-18 DOI:10.1109/TCYB.2025.3542998
Ai-Guo Wu;Jie Zhang;Shi-Long Shen
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Abstract

The stabilization problem for discrete-time time-variant linear state-delayed systems with distinct input delays is investigated in this article. A predictor is constructed for this class of delayed systems in a concise and explicit form by using the state transition matrices as tools. With the aid of the proposed prediction scheme, a predictor-based feedback law is designed to stabilize the considered system. It is shown that the characteristic equation of the closed-loop system under the proposed predictor-based feedback law for the case of time-invariant systems is the same as that of the closed-loop system without distinct input delays. Finally, two numerical examples are employed to verify the effectiveness of the proposed method.
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基于状态转移矩阵的离散时变线性时滞系统的预测反馈控制。
研究具有不同输入时滞的离散时变线性状态延迟系统的镇定问题。以状态转移矩阵为工具,对这类延迟系统构造了一个简洁明了的预测器。利用所提出的预测方案,设计了一种基于预测器的反馈律来稳定所考虑的系统。结果表明,当系统为时不变系统时,在基于预测器的反馈律下,闭环系统的特征方程与无不同输入时滞的闭环系统的特征方程相同。最后,通过两个算例验证了所提方法的有效性。
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来源期刊
IEEE Transactions on Cybernetics
IEEE Transactions on Cybernetics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS
CiteScore
25.40
自引率
11.00%
发文量
1869
期刊介绍: The scope of the IEEE Transactions on Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or machine, human, and organizations. The scope includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, cognitive systems, decision making, and robotics, to the extent that they contribute to the theme of cybernetics or demonstrate an application of cybernetics principles.
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