Adaptive decentralized control for second-order large-scale nonlinear systems via fully actuated system approach

IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED Communications in Nonlinear Science and Numerical Simulation Pub Date : 2025-04-01 Epub Date: 2025-01-21 DOI:10.1016/j.cnsns.2025.108616
Yifan Wang, Wei Sun
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Abstract

This study focuses on an adaptive decentralized control problem for second-order large-scale interconnected nonlinear systems with uncertainties. The proposed control method is the first study of second-order large-scale systems using fully actuated system approach, considering that most real physical systems are second-order, whereas the existing literature on large-scale systems primarily considers first-order systems. By integrating the fully actuated system approach, decentralized control and adaptive technology, a novel controller is devised to ensure that the signals of the closed-loop system remain semiglobally uniformly ultimately bounded, and the tracking errors converge to a small neighborhood of zero. Finally, a numerical simulation example is presented to validate the effectiveness of the proposed control method.
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基于全驱动系统方法的二阶大型非线性系统自适应分散控制
研究了具有不确定性的二阶大范围互联非线性系统的自适应分散控制问题。考虑到大多数真实物理系统都是二阶系统,本文提出的控制方法是第一次使用完全驱动系统方法研究二阶大系统,而现有的大系统文献主要考虑一阶系统。通过将全驱动系统方法、分散控制和自适应技术相结合,设计了一种新颖的控制器,以保证闭环系统的信号保持半全局一致最终有界,并且跟踪误差收敛到零的小邻域。最后通过数值仿真实例验证了所提控制方法的有效性。
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来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
期刊介绍: The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.
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