Matrix decomposition-based parametrization and singularity-free adaptive control of MIMO nonlinear systems

IF 4.8 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Automatica Pub Date : 2025-01-22 DOI:10.1016/j.automatica.2025.112129

Feifei Li, Yanjun Zhang, Jian Sun

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引用次数: 0

Abstract

This paper proposes a new matrix decomposition-based adaptive control scheme for multi-input and multi-output (MIMO) continuous-time uncertain nonlinear systems with arbitrary vector relative degrees. Novel matrix decomposition-based parametrization structures are constructed for parameter estimation, upon which singularity-free adaptive control laws with modified parameter update laws are formulated to ensure closed-loop stability and output tracking. State feedback and output feedback are addressed, respectively. The proposed adaptive control scheme exhibits the following characteristics when compared with the existing results: (i) it is applicable for control of a broader class of uncertain MIMO nonlinear systems with arbitrary vector relative degrees; (ii) it requires less knowledge of the uncertain control gain matrix, while still ensuring that the adaptive control law is always non-singular during the process of parameter adaptation; and (iii) it guarantees the desired system performance without involving transient or high-gain issues. The proposed adaptive control scheme is verified by a hypersonic vehicle model simulation.

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来源期刊

Automatica 工程技术-工程：电子与电气

CiteScore

10.70

自引率

7.80%

发文量

617

审稿时长

5 months

期刊介绍： Automatica is a leading archival publication in the field of systems and control. The field encompasses today a broad set of areas and topics, and is thriving not only within itself but also in terms of its impact on other fields, such as communications, computers, biology, energy and economics. Since its inception in 1963, Automatica has kept abreast with the evolution of the field over the years, and has emerged as a leading publication driving the trends in the field. After being founded in 1963, Automatica became a journal of the International Federation of Automatic Control (IFAC) in 1969. It features a characteristic blend of theoretical and applied papers of archival, lasting value, reporting cutting edge research results by authors across the globe. It features articles in distinct categories, including regular, brief and survey papers, technical communiqués, correspondence items, as well as reviews on published books of interest to the readership. It occasionally publishes special issues on emerging new topics or established mature topics of interest to a broad audience. Automatica solicits original high-quality contributions in all the categories listed above, and in all areas of systems and control interpreted in a broad sense and evolving constantly. They may be submitted directly to a subject editor or to the Editor-in-Chief if not sure about the subject area. Editorial procedures in place assure careful, fair, and prompt handling of all submitted articles. Accepted papers appear in the journal in the shortest time feasible given production time constraints.