Convexity + curvature: Tools for the global stabilization of nonlinear systems with control inputs subject to magnitude and rate bounds

J. Solís-Daun
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引用次数: 1

Abstract

The aim of this paper is to address the global asymptotic stabilization (gas) of affine systems with control inputs subject to magnitude and rate bounds, in the framework of ArtsteinSontag’s control Lyapunov function (clf) approach. These bounds are defined by compact (convex) control value sets (cvs) U with 0 ∈ intU . Convex Analysis together with Differential Geometry allow us to reveal the intrinsic geometry involved in the clf stabilization problem, and to solve it, if an optimal control ω(x) exists. The existence and uniqueness of ω(x) depends on convexity properties of cvs U ; whereas its regularity and boundedness of its differential is achieved in terms of the curvature of U . However, in view that control ω(x) is singular, we redesign it to derive an explicit formula for regular damping feedback controls fulfilling magnitude and rate bounds that render gas a class of affine systems.
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凸性+曲率:控制输入服从幅度和速率界的非线性系统的全局稳定工具
本文的目的是在ArtsteinSontag的控制Lyapunov函数(clf)方法的框架下,研究控制输入受幅度和速率界约束的仿射系统的全局渐近镇定(气体)问题。这些边界由紧(凸)控制值集(cvs) U定义,其中0∈intU。如果存在最优控制ω(x),凸分析和微分几何使我们能够揭示clf稳定问题所涉及的内在几何,并解决它。ω(x)的存在唯一性取决于cv U的凸性;而它的正则性和微分的有界性是用U的曲率来表示的。然而,考虑到控制ω(x)是奇异的,我们重新设计了它,以推导出一个显式公式,用于规则阻尼反馈控制,满足使气体成为一类仿射系统的幅度和速率界限。
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