Adaptive event‐triggered robust H∞ control for Takagi–Sugeno fuzzy networked Markov jump systems with time‐varying delay
This paper considers an adaptive event‐triggered robust H∞ control for the Takagi–Sugeno
(T‐S) fuzzy under the networked Markov jump systems (NMJSs) with time‐varying delay …
(T‐S) fuzzy under the networked Markov jump systems (NMJSs) with time‐varying delay …
Interval type-2 fuzzy passive filtering for nonlinear singularly perturbed PDT-switched systems and its application
X Liu, J Xia, J Wang, H Shen - Journal of Systems Science and Complexity, 2021 - Springer
The problem of designing a passive filter for nonlinear switched singularly perturbed
systems with parameter uncertainties is explored in this paper. Firstly, the multiple-time …
systems with parameter uncertainties is explored in this paper. Firstly, the multiple-time …
Extended dissipative synchronization for semi-Markov jump complex dynamic networks via memory sampled-data control scheme
YA Liu, J Xia, B Meng, X Song, H Shen - Journal of the Franklin Institute, 2020 - Elsevier
The work is concerned with the synchronization issue of complex dynamic networks subject
to the semi-Markov process. The semi-Markov process is used to describe the switching …
to the semi-Markov process. The semi-Markov process is used to describe the switching …
Multiobjective fault-tolerant control for fuzzy switched systems with persistent dwell time and its application in electric circuits
This article concentrates on the output feedback controller design problem for discrete-time
nonlinear switched systems with actuator faults. The Takagi-Sugeno fuzzy model is adopted …
nonlinear switched systems with actuator faults. The Takagi-Sugeno fuzzy model is adopted …
Distributed state estimation for mixed delays system over sensor networks with multichannel random attacks and Markov switching topology
W Qian, D Lu, S Guo, Y Zhao - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
This article deals with the distributed state estimation for mixed delays system under
unknown attacks. A new multichannel random attack model is established for the first time …
unknown attacks. A new multichannel random attack model is established for the first time …
A nonsingular M-matrix-based global exponential stability analysis of higher-order delayed discrete-time Cohen–Grossberg neural networks
Z Dong, X Wang, X Zhang - Applied Mathematics and Computation, 2020 - Elsevier
This paper focuses on the problem of global exponential stability analysis for high-order
delayed discrete-time Cohen–Grossberg neural networks. Multiple time-varying delays are …
delayed discrete-time Cohen–Grossberg neural networks. Multiple time-varying delays are …
Finite-Horizon State Estimation for Periodic Neural Networks Over Fading Channels
XM Li, B Zhang, P Li, Q Zhou… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The problem of finite-horizon H∞ state estimator design for periodic neural networks over
multiple fading channels is studied in this paper. To characterize the measurement signals …
multiple fading channels is studied in this paper. To characterize the measurement signals …
Event-triggered sliding mode control for switched genetic regulatory networks with persistent dwell time
This paper focus on the event-triggered sliding mode controller design for discrete-time
switched genetic regulatory networks (GRNs) with persistent dwell time (PDT) switching …
switched genetic regulatory networks (GRNs) with persistent dwell time (PDT) switching …
Adaptive neural network consensus tracking control for uncertain multi-agent systems with predefined accuracy
This paper proposes the consensus tracking control problem for a class of uncertain
nonlinear multi-agent systems. By using a group of nonnegative functions, an adaptive …
nonlinear multi-agent systems. By using a group of nonnegative functions, an adaptive …
Event-based sliding-mode synchronization of delayed memristive neural networks via continuous/periodic sampling algorithm
This paper investigates the problem of event-based sliding-mode synchronization of
memristive neural networks with delay through continuous/periodic sampling algorithm …
memristive neural networks with delay through continuous/periodic sampling algorithm …