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相关论文: A Small-Gain Theorem with Applications to Input/Ou…

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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

We consider interconnected nonlinear systems with external inputs, where each of the subsystems is assumed to be input-to-state stable (ISS). Sufficient conditions of small gain type are provided guaranteeing that the interconnection is ISS…

动力系统 · 数学 2010-06-14 Sergey Dashkovskiy , Michael Kosmykov , Fabian 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

We provide a generalized version of the nonlinear small-gain theorem for the case of more than two coupled input-to-state stable (ISS) systems. For this result the interconnection gains are described in a nonlinear gain matrix and the…

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

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

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

For an ISS system, by analyzing local and non-local properties, it is obtained different input-to-state gains. The interconnection of a system having two input-to-state gains with a system having a single ISS gain is analyzed. By employing…

最优化与控制 · 数学 2015-08-12 Humberto Stein Shiromoto , Vincent Andrieu , Christophe Prieur

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 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

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

In this paper ISS small-gain theorems for discrete-time systems are stated, which do not require input-to-state stability (ISS) of each subsystem. This approach weakens conservatism in ISS small-gain theory, and for the class of…

动力系统 · 数学 2015-11-25 Roman Geiselhart , Fabian R. Wirth

In recent years, attempts have been made to extend nonlinear small-gain theorems for input-to-state stability (ISS) from finite networks to countably infinite networks with finite indegrees. Under specific assumptions about the…

最优化与控制 · 数学 2026-01-27 Christoph Kawan

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

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

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

The small gain condition is sufficient for input-to-state stability (ISS) of interconnected systems. However, verification of the small gain condition requires large amount of computations in the case of a large size of the system. To…

动力系统 · 数学 2012-06-29 S. Dashkovskiy , M. Kosmykov

From the structural perspective, this paper investigates a new formulation of the concept of input-to-state stability (ISS), and based on this formulation, proposes a new stability analysis approach for a class of interconnected system. The…

系统与控制 · 计算机科学 2015-05-05 Yong Wang

We develop a Lyapunov-based small-gain theorem for establishing fixed-time input-to-state stability (FxT-ISS) guarantees in interconnected nonlinear dynamical systems. The proposed framework considers interconnections in which each…

系统与控制 · 电气工程与系统科学 2025-12-25 Michael Tang , Miroslav Krstic , Jorge Poveda

Input-to-state stability (ISS) unifies the stability and robustness in one notion, and serves as a basis for broad areas of nonlinear control theory. In this contribution, we covered the most fundamental facts in the infinite-dimensional…

系统与控制 · 电气工程与系统科学 2024-06-05 Andrii Mironchenko , Christophe Prieur

In this paper, we show that an infinite network of input-to-state stable (ISS) subsystems, admitting ISS Lyapunov functions, itself admits an ISS Lyapunov function, provided that the couplings between the subsystems are sufficiently weak.…

最优化与控制 · 数学 2022-02-16 Christoph Kawan , Andrii Mironchenko , Majid Zamani
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