李雅普诺夫函数
离散化
稳定性理论
偏微分方程
理论(学习稳定性)
非线性系统
李雅普诺夫方程
数学
趋同(经济学)
光学(聚焦)
计算机科学
功能(生物学)
线性系统
应用数学
Lyapunov重新设计
数学分析
物理
量子力学
机器学习
进化生物学
光学
经济
生物
经济增长
作者
Denis Efimov,Andrey Polyakov
出处
期刊:Foundations and trends in systems and control
[Now Publishers]
日期:2021-01-01
卷期号:9 (2-3): 171-364
被引量:22
摘要
This monograph presents some existing and new results on analysis and design of finite-time and fixed-time converging systems. Two main groups of approaches for analysis/synthesis of this kind of convergence, Lyapunov functions and the theory of homogeneous systems, are considered. The authors focus on the dynamics described by ordinary differential equations, time-delay models and partial differential equations. Some popular control and estimation algorithms, which possess accelerated converge rates, are also reviewed. Finally, the issues of discretization of finite-/fixed-time converging systems are discussed. Divided into 3 parts, this monograph provides the reader with a complete and accessible review of the topic. In the first part, the definitions of the different finite-/fixed-time stability properties are given together with their characterizations via the Lyapunov function approach. In the second part, several stabilization algorithms for linear and nonlinear systems are formalized, which are based on the implicit Lyapunov function approach. In the third part, the issues of discretization of finite-/fixed-time stable systems are discussed, with a special attention to the solutions obtained with the implicit Lyapunov function method. Finally, the accelerated converge concepts are presented for systems described by time-delay and partial differential equations. This monograph is an excellent introduction to the complex field of Finite-Time Stability Tools. It enables the reader to synthesize the important concepts and further their own research in the area.
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