A fault-tolerant control framework for a class of non-linear networked control systems
International Journal of Systems Science
Protocol and fault detection design for nonlinear networked control systems
IEEE Transactions on Circuits and Systems II: Express Briefs
Fuzzy model-based robust networked control for a class of nonlinear systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Fuzzy H∞ tracking control for nonlinear networked control systems in T-S fuzzy model
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Design of networked control systems with explicit compensation for time-delay variations
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
International Journal of Systems Science
Fault detection for discrete-time systems in a networked environment
International Journal of Systems Science - Fault Diagnosis and Fault Tolerant Control
Robust H∞ control for nonlinear systems over network: A piecewise analysis method
Fuzzy Sets and Systems
Networked control for a class of T--S fuzzy systems with stochastic sensor faults
Fuzzy Sets and Systems
Modeling of random delays in networked control systems
Journal of Control Science and Engineering
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A Takagi-Sugeno (T-S) model is employed to represent a networked control system (NCS) with different network-induced delays. Comparing with existing NCS modeling methods, this approach does not require the knowledge of exact values of network-induced delays. Instead, it addresses situations involving all possible network-induced delays. Moreover, this approach also handles data-packet loss. As an application of the T-S-based modeling method, a parity-equation approach and a fuzzy-observer-based approach for fault detection of an NCS were developed. An example of a two-link inverted pendulum is used to illustrate the utility and viability of the proposed approaches