Robust semi-explicit model predictive control for hybrid automata

Yan Pang, Hao Xia, Michael P. Spathopoulos

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Abstract

In this paper we propose an on-line design technique for the target control problem of hybrid automata. First, we compute on-line the shortest path, which has the minimum discrete cost, from an initial state to the given target set. Next, we derive a controller which successfully drives the system from the initial state to the target set while minimizing a cost function. The (robust) model predictive control (MPC) technique is used when the current state is not within a guard set, otherwise the (robust) mixed-integer predictive control (MIPC) technique is employed. An on-line, semi-explicit control algorithm is derived by combining the two techniques and applied on a high-speed and energy-saving control problem of the CPU processing.
Original languageEnglish
Title of host publicationProceedings of International Conference on Computational Science and Its Applications
PublisherSpringer
Number of pages6
ISBN (Print)3540340793
Publication statusPublished - 2006

Publication series

NameLecture Notes in Computer Science
PublisherSpringer

Keywords

  • hybrid automata
  • control systems
  • predictive control

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    Pang, Y., Xia, H., & Spathopoulos, M. P. (2006). Robust semi-explicit model predictive control for hybrid automata. In Proceedings of International Conference on Computational Science and Its Applications (Lecture Notes in Computer Science). Springer.