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Hysteresis quantified control for switched reaction–diffusion systems and its application
This article addresses the exponential input-to-state stabilization problem for switched
reaction–diffusion systems, in which the systems' mode jum** complies with the persistent …
reaction–diffusion systems, in which the systems' mode jum** complies with the persistent …
Effects of impulse on prescribed-time synchronization of switching complex networks
Q Tang, S Qu, C Zhang, Z Tu, Y Cao - Neural Networks, 2024 - Elsevier
The specified convergence time, designated by the user, is highly attractive for many high-
demand applications such as industrial robot control, missile guidance, and autonomous …
demand applications such as industrial robot control, missile guidance, and autonomous …
Online reinforcement learning multiplayer non-zero sum games of continuous-time Markov jump linear systems
In this paper, a novel online mode-free integral reinforcement learning algorithm is proposed
to solve the multiplayer non-zero sum games. We first collect and learn the subsystems …
to solve the multiplayer non-zero sum games. We first collect and learn the subsystems …
Intermittent control for finite-time synchronization of fractional-order complex networks
This paper is concerned with the finite-time synchronization problem for fractional-order
complex dynamical networks (FCDNs) with intermittent control. Using the definition of …
complex dynamical networks (FCDNs) with intermittent control. Using the definition of …
Robust formation control for nonlinear heterogeneous multiagent systems based on adaptive event-triggered strategy
In this article, a distributed adaptive event-triggered formation control strategy is proposed
for unified nonlinear heterogeneous multiagent systems under uncertainties and …
for unified nonlinear heterogeneous multiagent systems under uncertainties and …
Chance-Constrained H∞ State Estimation for Recursive Neural Networks Under Deception Attacks and Energy Constraints: The Finite-Horizon Case
In this article, the chance-constrained state estimation problem is investigated for a class of
time-varying neural networks subject to measurements degradation and randomly occurring …
time-varying neural networks subject to measurements degradation and randomly occurring …
Adaptive control design for uncertain switched nonstrict-feedback nonlinear systems to achieve asymptotic tracking performance
In this paper, the adaptive asymptotic tracking control issue is addressed for uncertain
switched nonlinear systems with nonstrict-feedback form under the dynamic surface control …
switched nonlinear systems with nonstrict-feedback form under the dynamic surface control …
An Apple Detection Method Based on Des‐YOLO v4 Algorithm for Harvesting Robots in Complex Environment
W Chen, J Zhang, B Guo, Q Wei… - … Problems in Engineering, 2021 - Wiley Online Library
Real‐time detection of apples in natural environment is a necessary condition for robots to
pick apples automatically, and it is also a key technique for orchard yield prediction and fine …
pick apples automatically, and it is also a key technique for orchard yield prediction and fine …
Synchronization and anti-synchronization for complex-valued inertial neural networks with time-varying delays
In this article, synchronization and anti-synchronization problems of complex-valued inertial
neural networks with time-varying delays are studied. Firstly, the complex-valued inertial …
neural networks with time-varying delays are studied. Firstly, the complex-valued inertial …
Event-based secure H∞ load frequency control for delayed power systems subject to deception attacks
This paper focuses on designing an H∞ load-frequency controller for power systems
suffering from deception attacks based on the event-based secure control scheme. Firstly, to …
suffering from deception attacks based on the event-based secure control scheme. Firstly, to …