线性时变系统的范式及其在输出反馈镇定与跟踪中的应用

IF 9.4 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Bin Zhou;Jiacheng Dong;Guangbin Cai
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引用次数: 0

摘要

本文研究了多输入多输出(MIMO)线性时变(LTV)系统的标准形式。它探讨了使用LTV转换将这样的系统转换为其标准形式,如果它具有可能不一致(严格)的一般相对程度。在此基础上,研究了LTV系统的内外动力学和逆系统。此外,零动力学可以有效地参数化。此外,利用导出的LTV范式,解决了比例导数输出反馈镇定和输出跟踪问题。最后,通过实例验证了所提控制器的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Normal Forms of Linear Time-Varying Systems With Applications to Output-Feedback Stabilization and Tracking
This article examines the normal form of a multiple-input-multiple-output (MIMO) linear time-varying (LTV) system. It explores the transformation of such a system into its normal form using an LTV transformation, if it possesses a general relative degree that may not be uniform (strict). Based on the obtained normal form, the internal and external dynamics as well as the inverse system of the LTV system are investigated. Additionally, the zero dynamics can be effectively parameterized. Moreover, by employing the derived LTV normal form, the proportional-derivative output-feedback stabilization and output tracking problems are resolved. Finally, an illustrative example is presented to showcase the effectiveness of the proposed controllers.
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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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