A New Robust Adaptive Control Method for Complex Nontriangular Nonlinear Systems

IF 1.7 4区 工程技术 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Complexity Pub Date : 2023-06-28 DOI:10.1155/2023/6628901
Lingrong Xue, Zhen-Guo Liu
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Abstract

The existing research studies on adaptive control frequently introduce many parameter estimations and lead to a complicated controller. This paper investigates the robust regulation issue for high-order system and plants to raise a new approach for adaptive control. Specifically, the considered system has odd system power, nontriangular form, and external disturbance. By introducing the transformations of a parameter estimation, the studied system is transformed into a new dynamic system. By employing fuzzy systems and some inequality skills, the appropriate bounds of nonlinear terms are established. Based on the adaptive method and homogeneous control, a recursive control design algorithm is provided to construct a new adaptive controller, which dominates those uncertain bounds and guarantees that the closed-loop system is semiglobally uniformly ultimately bounded (SUUB). The constructed controller employs only one adaptive law and has a much simpler form. Simulation examples verify the validness of the presented method.

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复杂非三角非线性系统的鲁棒自适应控制新方法
现有的自适应控制研究经常引入大量的参数估计,导致控制器结构复杂。本文研究了高阶系统和对象的鲁棒调节问题,提出了一种新的自适应控制方法。具体来说,所考虑的系统具有奇数系统功率、非三角形形式和外部干扰。通过引入参数估计的变换,将研究的系统转化为一个新的动态系统。利用模糊系统和不等式技巧,建立了非线性项的适当界。在自适应方法和齐次控制的基础上,提出了一种递归控制设计算法,构造了一种新的自适应控制器,该控制器能控制不确定边界,并保证闭环系统是半全局一致最终有界的。构造的控制器只采用一个自适应律,并且具有更简单的形式。仿真实例验证了该方法的有效性。
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来源期刊
Complexity
Complexity 综合性期刊-数学跨学科应用
CiteScore
5.80
自引率
4.30%
发文量
595
审稿时长
>12 weeks
期刊介绍: Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.
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