多元微积分
理论(学习稳定性)
扩展(谓词逻辑)
标量(数学)
数学
班级(哲学)
算法
动力系统理论
李雅普诺夫函数
领域(数学)
控制理论(社会学)
计算机科学
非线性系统
控制(管理)
人工智能
工程类
控制工程
纯数学
几何学
程序设计语言
物理
机器学习
量子力学
作者
Fernando López‐Caamal,Jaime A. Moreno
摘要
Summary The purpose of this paper is to present an extension of the generalised supertwisting algorithm (STA) to the multivariable framework. We begin by introducing an algorithm that may be deemed as a linear, quasicontinuous, or discontinuous multivariable system, depending on the functions that define them. For the class represented by such an algorithm we prove the robust, Lyapunov stability of the origin and characterise the perturbations that preserve its stability. In particular, when its vector field is discontinuous or quasicontinuous our algorithm is endowed with finite‐time stability. Due to its resemblance to the scalar case, we denote such finite‐time stable systems as generalised multivariable STA. Furthermore, the class of finite‐time stable systems comprise the currently available versions of STAs. To finalise, by means of simulation examples, we show that our proposed finite‐time stable algorithms are well suited for signals online differentiation and highlight their dynamical traits.
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