Quantized output feedback control for networked control systems
Information Sciences: an International Journal
Automatica (Journal of IFAC)
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Networked H∞ filtering for linear discrete-time systems
Information Sciences: an International Journal
H∞ filtering for networked systems with partly known distribution transmission delays
Information Sciences: an International Journal
Data-driven predictive control for networked control systems
Information Sciences: an International Journal
Event-triggered communication and H∞ control co-design for networked control systems
Automatica (Journal of IFAC)
Event-triggering in networked systems with probabilistic sensor and actuator faults
Information Sciences: an International Journal
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This paper is concerned with modelling and controller design for a discrete-time networked control system with limited channels and data drift. For the networked control system, available communication channels are usually limited. Moreover, the data received by the actuator may be different from the data sent by the controller and this phenomenon is referred to as data drift. By taking limited channels and data drift into account, a new model for the networked control system is established. Then a new Lyapunov functional is constructed to drive some stability criteria. Based on these stability criteria, a channel utilization-based switched controller is designed to asymptotically stabilize the networked system in the sense of mean-square. The proposed design method can enhance robustness of the networked control system to data drift and external disturbances. A numerical example is given to illustrate the effectiveness of the proposed controller design.