Robust H∞ control for uncertain delayed TS fuzzy systems with stochastic packet dropouts

X Cai, S Zhong, J Wang, K Shi - Applied Mathematics and Computation, 2020 - Elsevier
This paper is concerned with the robust H∞ control issues for uncertain TS fuzzy systems
(TSFSs) with time-varying delays and stochastic packet dropouts. An improved time-delay …

New optimal method for L2-L∞ state estimation of delayed neural networks

W Qian, Y Li, Y Zhao, Y Chen - Neurocomputing, 2020 - Elsevier
This proposal considers the issue of L 2-L∞ state estimation for delayed neural networks. A
novel Lyapunov-Krasovskii functional is constructed, which contains augmented s …

Strictly dissipative stabilization of multiple‐memory Markov jump systems with general transition rates: a novel event‐triggered control strategy

W Xie, R Zhang, D Zeng, K Shi… - International Journal of …, 2020 - Wiley Online Library
This paper investigates the strictly dissipative stabilization problem for multiple‐memory
Markov jump systems with network communication protocol. Firstly, for reducing data …

Synchronization and stability of delayed fractional-order memristive quaternion-valued neural networks with parameter uncertainties

J Xiao, S Zhong - Neurocomputing, 2019 - Elsevier
This paper investigates the synchronization and stability problem of fractional-order
memristive quaternion-valued neural networks (FMQVNNs) with time delay and uncertain …

Finite-time asynchronous H∞ resilient filtering for switched delayed neural networks with memory unideal measurements

W Xie, H Zhu, J Cheng, S Zhong, K Shi - Information Sciences, 2019 - Elsevier
This paper investigates the problem of asynchronous H∞ resilient filter design for delayed
switched neural networks with memory unideal measurements over a finite-time interval. We …

Dissipativity analysis and synthesis for positive Roesser systems under the switched mechanism and Takagi-Sugeno fuzzy rules

J Wang, J Liang, CT Zhang - Information Sciences, 2021 - Elsevier
This paper addresses the dissipativity analysis and controller design for a class of TS fuzzy
positive systems which are described by the Roesser model. First, sufficient conditions …

New results on stability analysis and extended dissipative conditions for uncertain memristive neural networks with two additive time‐varying delay components and …

T Wu, J Cao, L Xiong, X Xie - International Journal of Robust …, 2020 - Wiley Online Library
This article deals with the problems of exponential stability and extended dissipative
analysis for a class of uncertain memristive neural networks (MNNs) with additive time …

Extended dissipative resilient estimator design for discrete-time switched neural networks with unreliable links

W Xie, H Zhu, S Zhong, J Cheng, K Shi - Nonlinear Analysis: Hybrid …, 2019 - Elsevier
This paper addresses the problem of extended dissipativity-based resilient state estimation
for discrete-time switched neural networks in the presence of unreliable links. To overcome …

Exponential synchronization of stochastic delayed memristive neural networks via a novel hybrid control

N Yang, Y Yu, S Zhong, X Wang, K Shi, J Cai - Neural Networks, 2020 - Elsevier
This paper investigates the exponential synchronization issue of stochastic delayed
memristive neural networks (SDMNNs) via a novel hybrid control (HC), where impulsive …

Further improved results on non-fragile H∞ performance state estimation for delayed static neural networks

S Dong, S Zhong, K Shi, W Kang, J Cheng - Neurocomputing, 2019 - Elsevier
This work investigates the non-fragile H∞ state estimation issue for static neural networks
(SNNs) with mixed time-varing delays and randomly occurring uncertainties (ROUs). ROUs …