A fault-tolerant control framework for a class of non-linear networked control systems
International Journal of Systems Science
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Information Sciences: an International Journal
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IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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IEEE Transactions on Fuzzy Systems
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IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
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Fuzzy Sets and Systems
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Expert Systems with Applications: An International Journal
Output feedback control of networked control systems with packet dropouts in both channels
Information Sciences: an International Journal
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Information Sciences: an International Journal
Observer-Based H∞ fuzzy control for T-S fuzzy neural networks with random data losses
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
H∞ control for networked systems with multiple packet dropouts
Information Sciences: an International Journal
Information Sciences: an International Journal
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In this paper, the robust Hinfin control problem Is considered for a class of networked systems with random communication packet losses. Because of the limited bandwidth of the channels, such random packet losses could occur, simultaneously, in the communication channels from the sensor to the controller and from the controller to the actuator. The random packet loss is assumed to obey the Bernoulli random binary distribution, and the parameter uncertainties are norm-bounded and enter into both the system and output matrices. In the presence of random packet losses, an observer-based feedback controller is designed to robustly exponentially stabilize the networked system in the sense of mean square and also achieve the prescribed Hinfin disturbance-rejection-attenuation level. Both the stability-analysis and controller-synthesis problems are thoroughly investigated. It is shown that the controller-design problem under consideration is solvable if certain linear matrix inequalities (LMIs) are feasible. A simulation example is exploited to demonstrate the effectiveness of the proposed LMI approach.