Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Adaptive Control
Neural Networks for Optimization and Signal Processing
Neural Networks for Optimization and Signal Processing
Brief paper: Robust sampled-data H∞ control with stochastic sampling
Automatica (Journal of IFAC)
IEEE Transactions on Neural Networks
Delay dependent stability results for fuzzy BAM neural networks with Markovian jumping parameters
Expert Systems with Applications: An International Journal
IEEE Transactions on Neural Networks
Technical communique: Reciprocally convex approach to stability of systems with time-varying delays
Automatica (Journal of IFAC)
Robust H∞ filtering of Markovian jump stochastic systems with uncertain transition probabilities
International Journal of Systems Science
Brief Stability analysis of digital feedback control systems with time-varying sampling periods
Automatica (Journal of IFAC)
Brief Integral control by variable sampling based on steady-state data
Automatica (Journal of IFAC)
Technical Communique: Robust sampled-data stabilization of linear systems: an input delay approach
Automatica (Journal of IFAC)
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Hi-index | 0.01 |
This paper investigates the exponential synchronization for a class of delayed neural networks with Markovian jumping parameters and time varying delays. The considered transition probabilities are assumed to be partially unknown. In addition, the sampling period is assumed to be time-varying that switches between two different values in a random way with given probability. Several delay-dependent synchronization criteria have been derived to guarantee the exponential stability of the error systems and the master systems are stochastically synchronized with the slave systems. By introducing an improved Lyapunov-Krasovskii functional (LKF) including new triple integral terms, free-weighting matrices, partly unknown transition probabilities and combining both the convex combination technique and reciprocal convex technique, a delay-dependent exponential stability criteria is obtained in terms of linear matrix inequalities (LMIs). The information about the lower bound of the discrete time-varying delay is fully used in the LKF. Furthermore, the desired sampled-data synchronization controllers can be solved in terms of the solution to LMIs. Finally, numerical examples are provided to demonstrate the feasibility of the proposed estimation schemes from its gain matrices.