A survey on recent advances in distributed sampled-data cooperative control of multi-agent systems
Distributed cooperative control of multi-agent systems has been one of the most active
research topics in the fields of automatic control and robotics. This paper provides a survey …
research topics in the fields of automatic control and robotics. This paper provides a survey …
Overview of recent advances in stability of linear systems with time‐varying delays
This study provides an overview and in‐depth analysis of recent advances in stability of
linear systems with time‐varying delays. First, recent developments of a delay convex …
linear systems with time‐varying delays. First, recent developments of a delay convex …
A survey on security control and attack detection for industrial cyber-physical systems
Abstract Cyber-physical systems (CPSs), which are an integration of computation,
networking, and physical processes, play an increasingly important role in critical …
networking, and physical processes, play an increasingly important role in critical …
A comprehensive review of stability analysis of continuous-time recurrent neural networks
Stability problems of continuous-time recurrent neural networks have been extensively
studied, and many papers have been published in the literature. The purpose of this paper is …
studied, and many papers have been published in the literature. The purpose of this paper is …
Event-Triggered H∞ Load Frequency Control for Multi-Area Nonlinear Power Systems Based on Non-Fragile Proportional Integral Control Strategy
In this article, a new event-triggered load frequency control (LFC) approach with dynamic
triggered algorithm (DTA) for multi-area nonlinear power systems (NPSs) based on non …
triggered algorithm (DTA) for multi-area nonlinear power systems (NPSs) based on non …
An overview of recent developments in Lyapunov–Krasovskii functionals and stability criteria for recurrent neural networks with time-varying delays
Global asymptotic stability is an important issue for wide applications of recurrent neural
networks with time-varying delays. The Lyapunov–Krasovskii functional method is a …
networks with time-varying delays. The Lyapunov–Krasovskii functional method is a …
Finite-time and fixed-time synchronization of a class of inertial neural networks with multi-proportional delays and its application to secure communication
Proportional delay, which is different from time-varying delays and distributed delay, is a
kind of unbounded delay. The proportional delay system as an important mathematical …
kind of unbounded delay. The proportional delay system as an important mathematical …
Hidden Markov model-based nonfragile state estimation of switched neural network with probabilistic quantized outputs
This paper focuses on the state estimator design problem for a switched neural network
(SNN) with probabilistic quantized outputs, where the switching process is governed by a …
(SNN) with probabilistic quantized outputs, where the switching process is governed by a …
Delay-dependent stability analysis of neural networks with time-varying delay: A generalized free-weighting-matrix approach
This paper investigates the delay-dependent stability problem of continuous neural networks
with a bounded time-varying delay via Lyapunov–Krasovskii functional (LKF) method. This …
with a bounded time-varying delay via Lyapunov–Krasovskii functional (LKF) method. This …
Hierarchical type stability criteria for delayed neural networks via canonical Bessel–Legendre inequalities
This paper is concerned with global asymptotic stability of delayed neural networks. Notice
that a Bessel-Legendre inequality plays a key role in deriving less conservative stability …
that a Bessel-Legendre inequality plays a key role in deriving less conservative stability …