Results 101 to 110 of about 1,863,570 (246)
Optimal Gain Selection for the Arbitrary‐Order Homogeneous Differentiator
ABSTRACT Differentiation of noisy signals is a relevant and challenging task. Widespread approaches are the linear high‐gain observer acting as a differentiator and Levant's robust exact differentiator with a discontinuous right‐hand side. We consider the family of arbitrary‐order homogeneous differentiators, which includes these special cases.
Benjamin Calmbach +2 more
wiley +1 more source
Particle swarm optimization based networked control system design with uncertainty
This study discusses the design of state feedback control for networked control system (NCS) with uncertainty, where the feedback controller is used to solve the latency and the packet dropout caused by NCS.
Chen Ti-Hung, Yeh Ming-Feng, Lee Wen-Yo
doaj +1 more source
Sliding Mode Control in Aerospace Applications: A Survey
ABSTRACT Sliding mode control (SMC) enjoys robustness to matched and unmatched (in the case of minimum phase input‐output dynamics) bounded perturbations, and finite time convergence. Second‐order and higher‐order sliding mode control systems (2‐SMC/HOSMC) retain all the advantages of sliding mode control, but in addition can be applied to systems of ...
Yuri Shtessel, Christopher Edwards
wiley +1 more source
The entropy of Lyapunov-optimizing measures of some matrix cocycles
Final version, to appear in Journal of Modern Dynamics, Volume 10 ...
Bochi, Jairo, Rams, Michal
openaire +6 more sources
Control Design Based on Generalized Lur'e Lyapunov Functions for Sampled‐Data Lur'e Systems
ABSTRACT This article addresses the synthesis of stabilizing control laws for aperiodic sampled‐data Lur'e systems. Based on a hybrid system representation of the closed‐loop system and a timer‐dependent generalized Lur'e–Postnikov type Lyapunov function, stabilization conditions are obtained by separating decision variables with the application of two
Arthur Scolari Fagundes +2 more
wiley +1 more source
Gradient‐ and Newton‐Based Unit Vector Extremum Seeking Control
ABSTRACT This paper proposes new methods for stable and efficient convergence in multivariable extremum seeking control (ESC) using sliding mode techniques. Inspired by classical sliding modes and finite‐time control, the approach integrates these ideas into gradient‐ and Newton‐based ESC schemes with sinusoidal perturbations.
Roberto Luo +3 more
wiley +1 more source
ABSTRACT The safety verification of neural network (NN) controllers operating in uncertain environments characterized by unmodeled dynamics, nonlinearities, and time delays remains a fundamental challenge in robust control analysis. This article introduces a novel method, termed Keep‐Close, for analyzing the performance and robustness of uncertain ...
Abdelhafid Zenati, Nabil Aouf
wiley +1 more source
ABSTRACT Quadrupedal robots operating in unstructured environments require adaptive control systems that can handle diverse terrain conditions without prior surface characterization. This paper presents an integrated control architecture that combines Model Predictive Control (MPC) with adaptive impedance control and SINDy‐based model corrections for ...
Peter James McConnellogue +4 more
wiley +1 more source
This study presents Lyapunov-SQP-MA (Lyapunov-guided Sequential Quadratic Programming Memetic Algorithm), a self-adaptive memetic algorithm that embeds an online stability estimator directly into the local Sequential Quadratic Programming (SQP) solver of
Ntebogang Dinah Moroke
doaj +1 more source
A neural network for solving second-order cone constrained variational inequality problems
A neural network is proposed to solve the second-order cone variational inequality (SOCCVI) problems. In this method, a smoothed Fischer-Burmeister (FB) function is used to deal with the KKT conditions corresponding to the problem, and then the KKT ...
LIU Yi-Tong, MU Xue-Wen
doaj

