Research Output
Enhanced performance controller design for stochastic systems by adding extra state estimation onto the existing closed loop control
  To enhance the performance of the tracking property, this paper presents a novel control algorithm for a class of linear dynamic stochastic systems with unmeasurable states, where the performance enhancement loop is established based on Kalman filter. Without changing the existing closed loop with the PI controller, the compensative controller is designed to minimize the variances of the tracking errors using the estimated states and the propagation of state variances. Moreover, the stability of the closed-loop systems has been analyzed in the mean-square sense. A simulated example is included to show the effectiveness of the presented control algorithm, where encouraging results have been obtained.

  • Date:

    10 November 2016

  • Publication Status:

    Published

  • Publisher

    IEEE

  • DOI:

    10.1109/control.2016.7737531

  • Cross Ref:

    10.1109/control.2016.7737531

  • Funders:

    Historic Funder (pre-Worktribe)

Citation

Zhou, Y., Zhang, Q., & Wang, H. (2016). Enhanced performance controller design for stochastic systems by adding extra state estimation onto the existing closed loop control. In 2016 UKACC 11th International Conference on Control (CONTROL). https://doi.org/10.1109/control.2016.7737531

Authors

Keywords

stochastic distribution control, linear stochastic systems, Kalman filter, enhanced PI controller

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