Results 21 to 30 of about 1,347,569 (186)

A generalization of Input-to-State Stability

open access: yes2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012
Input-to-State Stability (ISS) and its many derivatives have proved to be extremely useful in the analysis and design of robustly stable nonlinear systems. In this paper, we present a generalization of ISS that subsumes several ISS-type properties and discuss cases where this generalization may fail.
Christopher M. Kellett, Peter M. Dower
openaire   +2 more sources

Input-to-State Stability and Stabilization of Sampled-Data Systems Under Aperiodic Sampling and Random Sampling

open access: yesIEEE Access, 2021
In this article, input-to-state stability (ISS) and stabilization are examined for sampled-data systems under deterministic aperiodic sampling and random sampling, respectively.
Ping Zhao, Ben Niu, Wei Feng, Zhiguo Yan
doaj   +1 more source

On continuity of solutions for parabolic control systems and input-to-state stability [PDF]

open access: yes, 2018
We study minimal conditions under which mild solutions of linear evolutionary control systems are continuous for arbitrary bounded input functions.
Jacob, Birgit   +2 more
core   +4 more sources

On Input-to-State Stability of Impulsive Systems [PDF]

open access: yesProceedings of the 44th IEEE Conference on Decision and Control, 2006
This paper introduces appropriate concepts of input-to-state stability (ISS) and integral-ISS for systems with impulsive effects. We provide a set of Lyapunov-based sufficient conditions to establish these properties. When the continuous dynamics are stabilizing but the impulsive effects are destabilizing, the impulses should not occur too frequently ...
João P. Hespanha 0001   +2 more
openaire   +1 more source

Stability of limit regimes in general reaction-diffusion type systems

open access: yesНауковий вісник Ужгородського університету. Серія: Математика і інформатика, 2022
In this paper, we consider the stability of limit regimes for a general class of nonlinear distributed mathematical models named Reaction-Diffusion models. RD systems naturally arise in many applications.
О. В. Капустян   +1 more
doaj   +1 more source

A graph-theoretic approach to global input-to-state stability for coupled control systems

open access: yesAdvances in Difference Equations, 2017
In this paper, the input-to-state stability for coupled control systems is investigated. A systematic method of constructing a global Lyapunov function for the coupled control systems is provided by combining graph theory and the Lyapunov method ...
Yu Qiao, Yue Huang, Minghao Chen
doaj   +1 more source

Mean-square exponential input-to-state stability of stochastic inertial neural networks

open access: yesAdvances in Difference Equations, 2021
By introducing some parameters perturbed by white noises, we propose a class of stochastic inertial neural networks in random environments. Constructing two Lyapunov–Krasovskii functionals, we establish the mean-square exponential input-to-state ...
Wentao Wang, Wei Chen
doaj   +1 more source

Asymptotic stability equals exponential stability, and ISS equals finite energy gain---if you twist your eyes [PDF]

open access: yes, 1998
In this paper we show that uniformly global asymptotic stability for a family of ordinary differential equations is equivalent to uniformly global exponential stability under a suitable nonlinear change of variables.
Grüne, Lars   +2 more
core   +4 more sources

Gradient-Descent-Based Learning Gain for Backstepping Controller and Disturbance Observer of Nonlinear Systems

open access: yesIEEE Access, 2023
This paper proposes a gradient-descent-based learning (GL) gain for backstepping controller and disturbance observer (DOB) of nonlinear system. The proposed method consists of the GL gain update law, controller, and DOB.
Sesun You   +3 more
doaj   +1 more source

Input-to-State Stability of Fractional Order Recurrent Neural Networks with Delays

open access: yesNantong Daxue xuebao. Ziran kexue ban, 2020
This paper discusses the input-to-state stability of delayed fractional-order recurrent neural networks. In order to ensure that the proposed system is input-to-state stable, the feedback controllers are designed.
XU Guoxiong;BAO Haibo
doaj   +1 more source

Home - About - Disclaimer - Privacy