Secure predictive coordinated control of high-order fully actuated networked multiagent systems under random DoS attacks
This research addresses a coordinated control problem for high-order fully actuated
networked multiagent systems (HOFANMASs) under random denial-of-service (DoS) …
networked multiagent systems (HOFANMASs) under random denial-of-service (DoS) …
Adaptive event-triggered stochastic estimator-based sampled-data fuzzy control for fractional-order permanent magnet synchronous generator-based wind energy …
This study aims to develop an adaptive event-triggered estimation sampled-data control
method for a fractional-order permanent magnet synchronous generator (PMSG)-based …
method for a fractional-order permanent magnet synchronous generator (PMSG)-based …
Output-feedback consensus control for fractional nonlinear multi-agent systems via a distributed dynamic event-triggered observer strategy
This paper considers the output-feedback consensus problem (OFCP) for nonlinear
fractional multi-agent systems (FMASs) by dynamic event-triggered control, where the …
fractional multi-agent systems (FMASs) by dynamic event-triggered control, where the …
Nonseparation analysis-based finite/fixed-time synchronization of fully complex-valued impulsive dynamical networks
In this article, the impulsive effect is introduced into complex-variable networks (CO-VNs)
and the finite/fixed-time synchronization (FI-T/FX-TS) of fully CO-VNs is discussed without …
and the finite/fixed-time synchronization (FI-T/FX-TS) of fully CO-VNs is discussed without …
Event-triggered hybrid impulsive control for synchronization of fractional-order multilayer signed networks under cyber attacks
X Liu, L Chen, Y Zhao, H Li - Neural Networks, 2024 - Elsevier
In this paper, we consider the exponential bipartite synchronization (EBS) problem of
fractional-order multilayer signed networks with time-varying delays (FO-MSNT) under …
fractional-order multilayer signed networks with time-varying delays (FO-MSNT) under …
Quantized iterative learning control for consensus of switched nonlinear heterogeneous multi-agent systems
S Yang, XD Li - Nonlinear Dynamics, 2024 - Springer
This paper investigates the iterative learning control (ILC) issue for leader-following
consensus of continuous-time switched nonlinear heterogeneous multi-agent systems …
consensus of continuous-time switched nonlinear heterogeneous multi-agent systems …
[HTML][HTML] On the stability of memory-dependent multi-agent systems under DoS attacks
In this paper, the stability analysis of memory-dependent multi-agent systems under Denial-
of-Service attacks is conducted. The system under consideration is of fractional order …
of-Service attacks is conducted. The system under consideration is of fractional order …
Bipartite containment control of multi‐agent systems under DoS attacks: an event‐triggered scheme
Z Liu, H Zhang, Z Wang - International Journal of Robust and …, 2025 - Wiley Online Library
This paper investigates the problem of bipartite containment control for multi‐agent systems
(MASs) under denial‐of‐service (DoS) attacks with event‐triggered scheme. The DoS …
(MASs) under denial‐of‐service (DoS) attacks with event‐triggered scheme. The DoS …
New results on robust finite-time extended dissipativity for uncertain fractional-order neural networks
This article investigates the problem of finite-time extended dissipativity performance for
fractional-order neural networks (FONNs) with uncertainties. We first extend the concept of …
fractional-order neural networks (FONNs) with uncertainties. We first extend the concept of …
Exponential stability of fractional-order asynchronous switched impulsive systems with time delay and mode-dependent parameter uncertainty
J Zhang, X Nie - Journal of the Franklin Institute, 2025 - Elsevier
Distinguished from asymptotic stability or Mittag–Leffler stability of fractional-order
synchronous switched impulsive systems, the exponential stability, implying explicit and …
synchronous switched impulsive systems, the exponential stability, implying explicit and …