We study wireless networked control systems (WNCSs), where controllers operate controlled objects through wireless networks. In WNCSs, controlled objects could become unstable due to bursty packet losses and delays on wireless networks. To solve the problem, we utilize the packetized predictive control (PPC) method, where multiple future control vectors are generated in the receding horizon manner and packed into packets for transmissions. In order to enhance the usefulness of control vectors to be packed, we propose a control vector selection scheme with state clustering (SC), where estimated states are clustered and control packets contain the selected control vectors and the corresponding estimated observation vectors. When the controlled object receives a control packet, it observes its own state and selects an appropriate control vector from among those in the control packet. With simulation experiments, we show that our proposed selection scheme with SC achieves the better performance in terms of the transient response of controlled objects.


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    Title :

    Control Vector Selection with State Clustering for Wireless Networked Control Systems


    Contributors:


    Publication date :

    2019-09-01


    Size :

    286255 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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