Non-Fragile Synchronization for Markov Jump Singularly Perturbed Coupled Neural Networks Subject to Double-Layer Switching Regulation

H Shen, X Hu, J Wang, J Cao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This work explores the synchronization issue for singularly perturbed coupled neural
networks (SPCNNs) affected by both nonlinear constraints and gain uncertainties, in which a …

Event-triggered adaptive neural fault-tolerant control of underactuated MSVs with input saturation

G Zhu, Y Ma, Z Li, R Malekian… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper investigates the tracking control problem of marine surface vessels (MSVs) in the
presence of uncertain dynamics and external disturbances. The facts that actuators are …

Event-based secure H∞ load frequency control for delayed power systems subject to deception attacks

D Wang, F Chen, B Meng, X Hu, J Wang - Applied Mathematics and …, 2021 - Elsevier
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 …

Extended dissipative sliding mode control for nonlinear networked control systems via event-triggered mechanism with random uncertain measurement

YA Liu, S Tang, Y Liu, Q Kong, J Wang - Applied Mathematics and …, 2021 - Elsevier
This work concentrates on addressing the sliding mode control problem of continuous-time
nonlinear networked control systems. Considering the state information may not be utterly …

Distributed adaptive fuzzy formation control of uncertain multiple unmanned aerial vehicles with actuator faults and switching topologies

Y Yu, J Guo, M Chadli, Z Xiang - IEEE Transactions on Fuzzy …, 2022 - ieeexplore.ieee.org
This article investigates a distributed fuzzy adaptive formation control for quadrotor multiple
unmanned aerial vehicles (UAVs) under unmodeled dynamics and switching topologies …

Event-triggered synchronization of coupled memristive neural networks

S Zhu, H Bao - Applied Mathematics and Computation, 2022 - Elsevier
This article is devoted to exploring the synchronization problem of coupled memristive
neural networks (CMNN) under event-triggered control (ETC) for the first time. Firstly …

Adaptive sliding mode security control for stochastic Markov jump cyber-physical nonlinear systems subject to actuator failures and randomly occurring injection …

Z Liu, X Chen, J Yu - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
This article investigates the issue of security control for stochastic Markov jump cyber-
physical systems (SMJCPS) against actuator failures (AF), randomly occurring injection …

Mean square exponential stability of discrete-time Markov switched stochastic neural networks with partially unstable subsystems and mixed delays

L Fan, Q Zhu - Information Sciences, 2021 - Elsevier
In this paper, we study the mean square exponential stability of discrete-time stochastic
neural networks with partially unstable subsystems and mixed delays. The mixed delays …

Design of a hybrid fault-tolerant control system for air–fuel ratio control of internal combustion engines using genetic algorithm and higher-order sliding mode control

T Alsuwian, M Tayyeb, AA Amin, MB Qadir, S Almasabi… - Energies, 2022 - mdpi.com
Fault-tolerant control systems (FTCS) are used in safety and critical applications to improve
reliability and availability for sustained operation in fault situations. These systems may be …

H∞ sliding mode control for PDT-switched nonlinear systems under the dynamic event-triggered mechanism

H Wang, X Chen, J Wang - Applied Mathematics and Computation, 2022 - Elsevier
In this paper, the H∞ sliding mode control problem of persistent dwell-time switched
nonlinear systems is investigated. Due to the limited bandwidth resources, a dynamic event …