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The concept of input-to-state stability (ISS) proposed in the late 1980s is one of the central notions in robust nonlinear control. ISS has become indispensable for various branches of nonlinear systems theory, such as robust stabilization…

Optimization and Control · Mathematics 2024-11-14 Rahma Heni

PI controllers are the most widespread type of controllers and there is an intuitive understanding that if their gains are sufficiently small and of the correct sign, then they always work. In this paper we try to give some rigorous backing…

Optimization and Control · Mathematics 2021-01-14 George Weiss , Vivek Natarajan

Stable non-Gaussian self-similar mixed moving averages can be decomposed into several components. Two of these are the periodic and cyclic fractional stable motions which are the subject of this study. We focus on the structure of their…

Probability · Mathematics 2016-09-07 Vladas Pipiras , Murad S. Taqqu

In this paper we consider Iterated Function Systems (IFS) on the real line consisting of continuous piecewise linear functions. We assume some bounds on the contraction ratios of the functions, but we do not assume any separation condition.…

Dynamical Systems · Mathematics 2021-09-10 R. D. Prokaj , K. Simon

Recent years have witnessed the rapid advancement of understanding the control mechanism of networked dynamical systems (NDSs), which are governed by components such as nodal dynamics and topology. This paper reveals that the critical…

Systems and Control · Electrical Eng. & Systems 2025-05-09 Yushan Li , Jianping He , Dimos V. Dimarogonas

This paper revisits the classic iterative proportional scaling (IPS) from a modern optimization perspective. In contrast to the criticisms made in the literature, we show that based on a coordinate descent characterization, IPS can be…

Computation · Statistics 2018-07-04 Yiyuan She , Shao Tang

This paper introduces the extension of Finite-Time Stability (FTS) to the input-output case, namely the Input-Output FTS (IO-FTS). The main differences between classic IO stability and IO-FTS are that the latter involves signals defined…

Systems and Control · Computer Science 2011-09-12 Gianmaria De Tommasi , Roberto Ambrosino , Giuseppe Carannante , Carlo Cosentino , Alfredo Pironti , Francesco Amato

The study proposes new results on the set input-to-state stability (ISS) subject to a small input time delay for compact, invariant sets that contains the origin. First, using the nonlinear small-gain theory, we prove a Razumikhin-type…

Systems and Control · Electrical Eng. & Systems 2022-11-24 Pallavi Sinha , Irinel-Constantin Morărescu , Sukumar Srikant

Non-overshooting stabilization is a form of safe control where the setpoint chosen by the user is at the boundary of the safe set. Exponential non-overshooting stabilization, including suitable extensions to systems with deterministic and…

Systems and Control · Electrical Eng. & Systems 2022-02-17 Andrey Polyakov , Miroslav Krstic

A notion of detectability for nonlinear systems is discussed. Within the framework of ``input to state stability'' (ISS), a dual notion of ``output to state stability'' (OSS), and a more complete detectability notion, ``input-output to…

Optimization and Control · Mathematics 2007-05-23 Brian Ingalls

We revisit the Kuramoto model to explore the finite-size scaling (FSS) of the order parameter and its dynamic fluctuations near the onset of the synchronization transition, paying particular attention to effects induced by the randomness of…

Statistical Mechanics · Physics 2015-08-26 Hyunsuk Hong , Hugues Chaté , Lei-Han Tang , Hyunggyu Park

For large classes of infinite-dimensional time-varying control systems, the equivalence between integral input-to-state stability (iISS) and the combination of global uniform asymptotic stability under zero input (0-GUAS) and uniformly…

Optimization and Control · Mathematics 2022-12-05 José L. Mancilla-Aguilar , José E. Rojas-Ruiz , Hernan Haimovich

Few-shot semantic segmentation (FSS) aims to segment objects of unseen classes in query images with only a few annotated support images. Existing FSS algorithms typically focus on mining category representations from the single-view support…

Computer Vision and Pattern Recognition · Computer Science 2023-09-29 Qinglong Cao , Yuntian Chen , Chao Ma , Xiaokang Yang

The topic of this manuscript is the stability analysis of continuous-time switched nonlinear systems with constraints on the admissible switching signals. Our particular focus lies in considering signals characterized by upper and lower…

Optimization and Control · Mathematics 2024-01-17 Matteo Della Rossa

Given a time-series of noisy measured outputs of a dynamical system z[k], k=1...N, the Identifying Regulation with Adversarial Surrogates (IRAS) algorithm aims to find a non-trivial first integral of the system, namely, a scalar function…

Systems and Control · Electrical Eng. & Systems 2024-05-07 Ron Teichner , Ron Meir , Michael Margaliot

This work aims to synthesize a controller that ensures that an unknown discrete-time system is incrementally input-to-state stable ($\delta$-ISS). In this work, we introduce the notion of $\delta$-ISS control Lyapunov function…

Systems and Control · Electrical Eng. & Systems 2025-10-28 Ahan Basu , Bhabani Shankar Dey , Pushpak Jagtap

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…

Systems and Control · Computer Science 2015-05-05 Yong Wang

Input-to-state stability (ISS) for systems described by partial differential equations has seen intensified research activity recently, and in particular the class of boundary control systems, for which truly infinite-dimensional effects…

Optimization and Control · Mathematics 2022-03-09 Felix Schwenninger

We uncover an ever-overlooked deficiency in the prevailing Few-Shot Learning (FSL) methods: the pre-trained knowledge is indeed a confounder that limits the performance. This finding is rooted from our causal assumption: a Structural Causal…

Machine Learning · Computer Science 2020-12-07 Zhongqi Yue , Hanwang Zhang , Qianru Sun , Xian-Sheng Hua

Motility-induced phase separation (MIPS) is a purely non-equilibrium phenomenon in which self-propelled particles phase separate without any attractive interactions. One surprising feature of MIPS is the emergence of polar, nematic, and…

Soft Condensed Matter · Physics 2022-02-08 Chiu Fan Lee