Stability of Time-Delay Systems
Stability of Time-Delay Systems
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
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Fuzzy Systems
Guaranteed Cost Networked Control for T–S Fuzzy Systems With Time Delays
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Robust H∞ Control for Uncertain Takagi–Sugeno Fuzzy Systems With Interval Time-Varying Delay
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Stabilization of Networked Stochastic Time-Delay Fuzzy Systems With Data Dropout
IEEE Transactions on Fuzzy Systems
On Designing Fuzzy Controllers for a Class of Nonlinear Networked Control Systems
IEEE Transactions on Fuzzy Systems
Network-based robust H∞ control of systems with uncertainty
Automatica (Journal of IFAC)
Networked control for a class of T--S fuzzy systems with stochastic sensor faults
Fuzzy Sets and Systems
A novel dropout compensation scheme for control of networked T-S fuzzy dynamic systems
Fuzzy Sets and Systems
Information Sciences: an International Journal
On hold or drop out-of-order packets in networked control systems
Information Sciences: an International Journal
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This paper investigates a robust networked control for a class of Takagi-Sugeno (T-S) fuzzy systems. The controller design specifically takes probabilistic interval distribution of the communication delay into account. A general framework of networked control is first proposed. The two main features are 1) the zero-order hold can choose the latest control input signal when the packets received are out-of-order, and 2) as the result of 1), themodels of the all kinds of uncertainties in networked signal transfer-- including network-induced delay and data packet dropout--are under a unified framework. Next, if the probability distribution of communication delay is known or specified in a design process, sufficient stability conditions for networked T-S fuzzy systems are derived, which are based on the Lyapunov theory. Following this, a stabilizing controller design method is developed, which shows that the solvability of the design depends not only on the upper and lower bounds of the delay but on its probability distribution as well. Finally, a numerical example is used to show the application of the theoretical results obtained in this paper.