This article studies the predefined time control design issue for uncertain nonlinear systems
with full-state error constraints and unmeasurable states for the first time. Compared with …

This paper proposes an innovative approach for mitigating the effects of deception attacks in
Markov jum** systems by develo** an adaptive neural network control strategy. To …

Traffic flow modeling plays a crucial role in intelligent transportation systems, which is of vital
significance for mitigating traffic congestion and reducing carbon emissions. Owing to the …

In this paper we introduce a novel method for solving the trajectory tracking problem for a
quadrotor system based on backstep** control and radial basis function (RBF) neural …

This paper is dedicated to fixed-time (FXI) output synchronization for multi-layer complex
networks (MLCNs) with output coupling. By designing two kinds of dynamic event-triggering …

This article focuses on achieving the finite-time synchronization (FTS) for fractional complex
dynamical networks (FCDNs) using hybrid impulsive control. Initially, a novel framework for …

In this letter, the problem of false data injection (FDI) attacks is investigated for dc microgrid
systems, which involves Markovian jum** parameters and Lévy noises. Moreover, an …

The fixed-time synchronization of time-delay interconnected memristive neural networks is
probed in this article. Firstly, according to the conventional controller, a new type of switching …

This article investigates the event‐triggered control problem in the complex‐valued
networked control systems (CVNCS) under randomly occurring deception attacks (RODA) …