Observer-based dynamic event-triggered control for multiagent systems with time-varying delay
L Cao, Y Pan, H Liang, T Huang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article is concerned with the dynamic event-triggered-based adaptive output-feedback
tracking control problem of nonlinear multiagent systems with time-varying input delay. By …
tracking control problem of nonlinear multiagent systems with time-varying input delay. By …
Event-based adaptive NN fixed-time cooperative formation for multiagent systems
L Cao, Z Cheng, Y Liu, H Li - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
This article focuses on the fixed-time formation control problem for nonlinear multiagent
systems (MASs) with dynamic uncertainties and limited communication resources. Under the …
systems (MASs) with dynamic uncertainties and limited communication resources. Under the …
A comprehensive review of denial of service attacks in blockchain ecosystem and open challenges
With the proliferation of the blockchain technology ecosystems such as mining pools, crypto
exchanges, full Bitcoin nodes, wallets, and pool protocol servers in recent years, the denial …
exchanges, full Bitcoin nodes, wallets, and pool protocol servers in recent years, the denial …
Adaptive fixed-time control of nonlinear MASs with actuator faults
H Ren, H Ma, H Li, Z Wang - IEEE/CAA Journal of Automatica …, 2023 - ieeexplore.ieee.org
The adaptive fixed-time consensus problem for a class of nonlinear multi-agent systems
(MASs) with actuator faults is considered in this paper. To approximate the unknown …
(MASs) with actuator faults is considered in this paper. To approximate the unknown …
Switching-like event-triggered state estimation for reaction–diffusion neural networks against DoS attacks
In this paper, event-triggered state estimation for reaction–diffusion neural networks
(RDNNs) subject to Denial-of-Service (DoS) attacks is investigated. A switching-like event …
(RDNNs) subject to Denial-of-Service (DoS) attacks is investigated. A switching-like event …
Fuzzy-based robust precision consensus tracking for uncertain networked systems with cooperative–antagonistic interactions
H Liang, L Chen, Y Pan, HK Lam - IEEE Transactions on Fuzzy …, 2022 - ieeexplore.ieee.org
In bipartite consensus tracking (BCT) tasks for nonlinear multiagent systems (MASs),
stochastic disturbances and actuator faults are regarded as essential factors that hamper …
stochastic disturbances and actuator faults are regarded as essential factors that hamper …
Hybrid‐driven‐based fuzzy secure filtering for nonlinear parabolic partial differential equation systems with cyber attacks
Z Zhang, X Song, X Sun… - International Journal of …, 2023 - Wiley Online Library
The problem of hybrid‐driven fuzzy filtering for nonlinear semi‐linear parabolic partial
differential equation systems with dual cyber attacks is investigated. First, a Takagi‐Sugeno …
differential equation systems with dual cyber attacks is investigated. First, a Takagi‐Sugeno …
A disturbance observer based intelligent control for nonstrict-feedback nonlinear systems
HR Ren, H Ma, HY Li, RQ Lu - Science China Technological Sciences, 2023 - Springer
Focusing on one class of nonlinear systems with input saturation, the adaptive fuzzy
dynamic event-triggered control problem is successfully solved. A dynamic event-triggered …
dynamic event-triggered control problem is successfully solved. A dynamic event-triggered …
Finite-time control of discrete-time semi-Markov jump linear systems: A self-triggered MPC approach
P He, J Wen, V Stojanovic, F Liu, X Luan - Journal of the Franklin Institute, 2022 - Elsevier
In this paper, a self-triggered model predictive control (MPC) strategy is developed for
discrete-time semi-Markov jump linear systems to achieve a desired finite-time performance …
discrete-time semi-Markov jump linear systems to achieve a desired finite-time performance …
Event‐triggered adaptive tracking control for uncertain fractional‐order nonstrict‐feedback nonlinear systems via command filtering
This article puts forward an event‐triggered adaptive neural tracking control strategy for a
class of uncertain fractional‐order nonstrict‐feedback nonlinear systems with full‐state …
class of uncertain fractional‐order nonstrict‐feedback nonlinear systems with full‐state …