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A Summary of Dynamic Output Feedback Robust MPC for Linear Polytopic Uncertainty Model with Bounded Disturbance

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  • Baocang Ding
  • Xiaoming Tang
  • Jianchen Hu

Abstract

This paper is the summary and enhancement of the previous studies on dynamic output feedback robust model predictive control (MPC) for the linear parameter varying model (described in a polytope) with additive bounded disturbance. When the state is measurable and there is no bounded disturbance, the robust MPC has been developed with several paradigms and seems becoming mature. For the output feedback case for the LPV model with bounded disturbance, we have published a series of works. Anyway, it lacks a unification of these publications. This paper summarizes the existing results and exposes the ideas in a unified framework. Indeed there is a long way to go for the output feedback case for the LPV model with bounded disturbance. This paper can pave the way for further research on output feedback MPC.

Suggested Citation

  • Baocang Ding & Xiaoming Tang & Jianchen Hu, 2020. "A Summary of Dynamic Output Feedback Robust MPC for Linear Polytopic Uncertainty Model with Bounded Disturbance," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-19, February.
    • Handle: RePEc:hin:jnlmpe:3830724
    DOI: 10.1155/2020/3830724
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