Results 31 to 40 of about 7,527 (244)

New Conditions of Analysis and Synthesis for Periodic Piecewise Linear Systems With Matrix Polynomial Approach

open access: yesIEEE Access, 2020
In this paper, new conditions of the stability, stabilization and L2-gain performance of periodic piecewise systems are proposed. Both the continuous and discontinuous Lyapunov functions with dwell-time related time-varying Lyapunov matrix polynomial are
Panshuo Li   +3 more
doaj   +1 more source

A discrete logarithmic function and Lyapunov function

open access: yesJSIAM Letters, 2022
Summary: The Lyapunov function plays an important role in the stability theory of dynamical systems. Its counterpart for discrete dynamical systems is not studied so much, though importance of such systems is increasing. In this letter, an attempt is made to construct a discrete analog of the Lyapunov function for the competitive Lotka-Volterra ...
Isojima, Shin, Suzuki, Seiichiro
openaire   +2 more sources

On Vector Lyapunov Functions [PDF]

open access: yesProceedings of the American Mathematical Society, 1971
It has been proved that the use of a vector Lyapunov function is more advantageous in certain situations rather than a scalar function. Moreover, each function needs to satisfy less rigid requirements. In this paper a new situation has been considered where vector Lyapunov functions play a further useful role. For this purpose, a new type of stability,
openaire   +1 more source

Lyapunov Functionals in Integral Equations

open access: yesAxioms, 2023
Lyapunov functions/functionals have found their footing in Volterra integro-differential equations. This is not the case for integral equations, and it is therefore further explored in this paper. In this manuscript, we utilize Lyapunov functionals combined with Laplace transform to qualitatively analyze the solutions of the integral equation In ...
Youssef N. Raffoul, Joseph Raffoul
openaire   +3 more sources

Learning lyapunov functions for hybrid systems [PDF]

open access: yesProceedings of the 24th International Conference on Hybrid Systems: Computation and Control, 2021
We propose a sampling-based approach to learn Lyapunov functions for a class of discrete-time autonomous hybrid systems that admit a mixed-integer representation. Such systems include autonomous piecewise affine systems, closed-loop dynamics of linear systems with model predictive controllers, piecewise affine/linear complementarity/mixed-logical ...
Shaoru Chen   +4 more
openaire   +2 more sources

On the new robust Lyapunov uniform stability approach for nonlinear impulsive Caputo fractional differential equations with nonlocal conditions [PDF]

open access: yesEuropean Journal of Mathematics and Applications
This study investigates the uniform stability of the trivial solution for nonlinear impulsive Caputo fractional differential equations (ICFrDEs), leveraging on the powerful framework of the vector Lyapunov functions.
Jackson Efiong Ante   +9 more
doaj   +1 more source

Flexible Lyapunov Functions and Applications to Fast Mechatronic Systems [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2010
The property that every control system should posses is stability, which translates into safety in real-life applications. A central tool in systems theory for synthesizing control laws that achieve stability are control Lyapunov functions (CLFs ...
Mircea Lazar
doaj   +1 more source

Lyapunov exponents in N=2 supersymmetric Jackiw-Teitelboim gravity

open access: yesPhysics Letters B, 2022
We study N=2 supersymmetric Jackiw-Teitelboim (JT) gravity at finite temperature coupled to matter. The matter fields are related to superconformal primaries by AdS/CFT duality. Due to broken super reparametrisation invariance in the SCFT dual, there are
Ruben Campos Delgado, Stefan Förste
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction

open access: yesAdvanced Robotics Research, EarlyView.
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith   +4 more
wiley   +1 more source

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