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Decentralized robust model predictive control for multi-input linear systems

Adelipour, S ; Sharif University of Technology | 2018

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  1. Type of Document: Article
  2. DOI: 10.1109/CONTROL.2018.8516722
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2018
  4. Abstract:
  5. In this paper, a decentralized model predictive control approach is proposed for discrete linear systems with a high number of inputs and states. The system is decomposed into several interacting subsystems. The interaction among subsystems is modeled as external disturbances. Then, using the concept of robust positively invariant ellipsoids, a robust model predictive control law is obtained for each subsystem solving several linear matrix inequalities. Maintaining the recursive feasibility while considering the attenuation of mutual coupling at each time step and the stability of the overall system are investigated. Moreover, an illustrative simulation example is provided to demonstrate the effectiveness of the method. © 2018 IEEE
  6. Keywords:
  7. Decentralized control ; Large scale systems ; Linear matrix inequalities ; Model predictive control ; Robust positively invariant sets ; Decentralized control ; Large scale systems ; Linear matrix inequalities ; Linear systems ; Predictive control systems ; Robust control ; Decentralized model predictive controls ; Discrete linear systems ; External disturbances ; Invariant ellipsoid ; Mutual coupling ; Robust model predictive control ; Robust positively invariant set ; Simulation example ; Model predictive control
  8. Source: UKACC 12th International Conference on Control, CONTROL 2018, 5 September 2018 through 7 September 2018 ; 2018 , Pages 13-18 ; 9781538628645 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/8516722