Brief paper: Sampled-data control of networked linear control systems
Automatica (Journal of IFAC)
A new delay system approach to network-based control
Automatica (Journal of IFAC)
Fuzzy model-based robust networked control for a class of nonlinear systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Modeling and stabilization of continuous-time packet-based networked control systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Global Synchronization in an Array of Delayed Neural Networks With Hybrid Coupling
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A Predictive Control-Based Approach to Networked Hammerstein Systems: Design and Stability Analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Neural Networks
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
Stability analysis for impulsive coupled systems on networks
Neurocomputing
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This paper is concerned with the networked synchronization control problem of coupled dynamic networks (CDNs) with time-varying delay. First, both the data packet dropouts and network-induced delays are taken into account in the synchronization controller design. A Markovian jump process is induced to describe the packet dropouts. The network-induced delays are interval time varying and depend on the Markovian jump modes. A new closed-loop coupled dynamic error system (CDES) with Markovian jump parameters and interval time-varying delays is constructed. Second, using the Kronecker product technique and the stochastic Lyapunov method, a delay-dependent sufficient criterion of stochastic stability is obtained for the closed-loop CDES, which also guarantees that the CDNs are stochastically synchronized. Finally, a simulation example is given to demonstrate the effectiveness of the proposed result.