Robust Packet Dropout Compensator Design for Multiple Packet Transmission Networked Control Systems
Yu Zhang, Shousheng Xie, Litong Ren, Lei Wang
Abstract
Yu Zhang, Shousheng Xie, Litong Ren, Lei Wang
Abstract
This paper investigates the problem of packet dropout compensator design for a class of uncertain multiplepacket transmission networked control systems (NCSs), which takes into account mismatched parametric uncertainty and external disturbance. The multiple packet transmission NCS model is established considering both time delay and packet dropout. With a focus on packet dropout, an inevitable and crucial problem of the NCSs during data communication, a novel robust packet dropout compensator is designed which can effectively compensate system state when packet dropout occurs and has certain robustness against parametric uncertainties and disturbances. A robust state feedback controller is then proposed based on the compensator and simulation results have indicated the effectiveness and superiority of the proposed packet dropout compensator based controller in guaranteeing ideal dynamic and steady state performance of the control system.
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This paper investigates the problem of packet dropout compensator design for a class of uncertain multiplepacket transmission networked control systems (NCSs), which takes into account mismatched parametric uncertainty and external disturbance. The multiple packet transmission NCS model is established considering both time delay and packet dropout. With a focus on packet dropout, an inevitable and crucial problem of the NCSs during data communication, a novel robust packet dropout compensator is designed which can effectively compensate system state when packet dropout occurs and has certain robustness against parametric uncertainties and disturbances. A robust state feedback controller is then proposed based on the compensator and simulation results have indicated the effectiveness and superiority of the proposed packet dropout compensator based controller in guaranteeing ideal dynamic and steady state performance of the control system.
Key concepts: Dropout (neural networks), Control theory (sociology), Transmission delay, Network packet, Computer science, Robustness (evolution), Parametric statistics, Processing delay