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Volume 7 Issue 4
Jun.  2020

IEEE/CAA Journal of Automatica Sinica

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Article Contents
Qinglai Wei, Hongyang Li and Fei-Yue Wang, "Parallel Control for Continuous-Time Linear Systems: A Case Study," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 919-928, July 2020. doi: 10.1109/JAS.2020.1003216
Citation: Qinglai Wei, Hongyang Li and Fei-Yue Wang, "Parallel Control for Continuous-Time Linear Systems: A Case Study," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 919-928, July 2020. doi: 10.1109/JAS.2020.1003216

Parallel Control for Continuous-Time Linear Systems: A Case Study

doi: 10.1109/JAS.2020.1003216
Funds:

the National Key Research and Development Program of China 2018AAA0101502

the National Key Research and Development Program of China 2018YFB1702300

the National Natural Science Foundation of China 61722312

the National Natural Science Foundation of China 61533019

the National Natural Science Foundation of China U1811463

the National Natural Science Foundation of China 61533017

More Information
  • In this paper, a new parallel controller is developed for continuous-time linear systems. The main contribution of the method is to establish a new parallel control law, where both state and control are considered as the input. The structure of the parallel control is provided, and the relationship between the parallel control and traditional feedback controls is presented. Considering the situations that the systems are controllable and incompletely controllable, the properties of the parallel control law are analyzed. The parallel controller design algorithms are given under the conditions that the systems are controllable and incompletely controllable. Finally, numerical simulations are carried out to demonstrate the effectiveness and applicability of the present method.

     

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    Highlights

    • A new parallel control structure for continuous-time linear systems is proposed.
    • The parallel controller is proposed based on parallel control theory.
    • The parallel controller considers both system state and control as input.
    • The parallel controller can avoid the disadvantages of state feedback control.

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