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相关论文: A small-gain theorem for nonlinear stochastic syst…

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This paper is a continuation of the paper \cite{JL}, which focuses on exploring the global stability of nonlinear stochastic feedback systems on the nonnegative orthant driven by multiplicative white noise and presenting a couple of…

动力系统 · 数学 2016-12-05 Jifa Jiang , Xiang Lv

In this paper, we study the existence of random periodic solutions for nonlinear stochastic differential equations with additive white noise. We extend the input-to-state characteristic operator of the system to the non-autonomous…

动力系统 · 数学 2021-04-06 Zhao Dong , Zuohuan Zheng , Weili Zhang

Convergent, contractive or incremental stability properties of nonlinear systems have attracted interest for control tasks such as observer design, output regulation and synchronization. The convergence property plays a central role in the…

系统与控制 · 电气工程与系统科学 2021-05-07 Jiayen Chen , Hendra I. Nurdin

We introduce the concept of non-uniform input-to-state stability for networks. It combines the uniform global stability with the uniform attractivity of any subnetwork, while it allows for non-uniform convergence of all components. For an…

最优化与控制 · 数学 2021-07-29 Andrii Mironchenko

We consider infinite heterogeneous networks, consisting of input-to-state stable subsystems of possibly infinite dimension. We show that the network is input-to-state stable, provided that the gain operator satisfies a certain small-gain…

最优化与控制 · 数学 2021-07-29 Andrii Mironchenko , Christoph Kawan , Jochen Glück

Motivated by a paradigm shift towards a hyper-connected world, we develop a computationally tractable small-gain theorem for a network of infinitely many systems, termed as infinite networks. The proposed small-gain theorem addresses…

动力系统 · 数学 2020-02-18 Navid Noroozi , Andrii Mironchenko , Christoph Kawan , Majid Zamani

This paper presents a small-gain theorem for networks composed of a countably infinite number of finite-dimensional subsystems. Assuming that each subsystem is exponentially input-to-state stable, we show that if the gain operator,…

最优化与控制 · 数学 2020-12-02 Christoph Kawan , Andrii Mironchenko , Abdalla Swikir , Navid Noroozi , Majid Zamani

A general ISS-type small-gain result is presented. It specializes to a small-gain theorem for ISS operators, and it also recovers the classical statement for ISS systems in state-space form. In addition, we highlight applications to…

最优化与控制 · 数学 2007-05-23 Brian Ingalls , Eduardo D. Sontag

We prove a small-gain theorem for interconnections of $n$ nonlinear heterogeneous input-to-state stable (ISS) control systems of a general nature, covering partial, delay and ordinary differential equations. Furthermore, for the same class…

最优化与控制 · 数学 2021-01-22 Andrii Mironchenko

This paper extends the nonlinear ISS small-gain theorem to a large-scale time delay system composed of three or more subsystems. En route to proving this small-gain theorem for systems of differential equations with delays, a small-gain…

最优化与控制 · 数学 2009-11-09 Shanaz Tiwari , Yuan Wang , Zhong-Ping Jiang

A Small-Gain Theorem, which can be applied to a wide class of systems that includes systems satisfying the weak semigroup property, is presented in the present work. The result generalizes all existing results in the literature and exploits…

最优化与控制 · 数学 2007-05-23 Iasson Karafyllis , Zhong-Ping Jiang

A new Small-Gain Theorem is presented for general nonlinear control systems. The novelty of this research work is that vector Lyapunov functions and functionals are utilized to derive various input-to-output stability and input-to-state…

最优化与控制 · 数学 2009-04-07 Iasson Karafyllis , Zhong-Ping Jiang

Input-to-state stability (ISS) unifies global asymptotic stability with respect to variations of initial conditions with robustness with respect to external disturbances. First, we present Lyapunov characterizations for input-to-state…

最优化与控制 · 数学 2024-06-27 Andrii Mironchenko

Motivated by the scalability problem in large networks, we study stability of a network of infinitely many finite-dimensional subsystems. We develop a so-called relaxed small-gain theorem for input-to-state stability (ISS) with respect to a…

动力系统 · 数学 2020-11-24 Navid Noroozi , Andrii Mironchenko , Fabian R. Wirth

This paper presents a unification and a generalization of the small-gain theory subsuming a wide range of existing small-gain theorems. In particular, we introduce small-gain conditions that are necessary and sufficient to ensure…

最优化与控制 · 数学 2017-08-22 Navid Noroozi , Roman Geiselhart , Lars Grüne , Björn S. Rüffer , Fabian R. Wirth

This note introduces a new notion of random dynamical system with inputs and outputs, and sketches a small-gain theorem for monotone systems which generalizes a similar theorem known for deterministic systems.

系统与控制 · 计算机科学 2013-01-01 Michael Marcondes de Freitas , Eduardo D. Sontag

We provide a new global small-gain theorem for feedback interconnections of monotone input-output systems with multi-valued input-state characteristics. This extends a recent small-gain theorem of Angeli and Sontag for monotone systems with…

最优化与控制 · 数学 2007-05-23 Michael Malisoff , Patrick de Leenheer

This paper provides a Lyapunov-based small-gain theorem for input-to-state stability (ISS) of networks composed of infinitely many finite-dimensional systems. We model these networks on infinite-dimensional $\ell_{\infty}$-type spaces. A…

最优化与控制 · 数学 2021-03-15 Andrii Mironchenko , Navid Noroozi , Christoph Kawan , Majid Zamani

We consider interconnections of n nonlinear subsystems in the input-to-state stability (ISS) framework. For each subsystem an ISS Lyapunov function is given that treats the other subsystems as independent inputs. A gain matrix is used to…

最优化与控制 · 数学 2010-09-13 Sergey N. Dashkovskiy , Björn S. Rüffer , Fabian R. Wirth

We study the input-to-state stability (ISS) of boundary control systems allowing for infinitely many boundary couplings. Using semigroup perturbation theory and the theory of positive linear operators on Banach lattices, we derive a…

最优化与控制 · 数学 2026-04-14 Yassine El Gantouh , Jun Zheng , Guchuan Zhu , Dingshi Li
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