Suboptimal target control for hybrid automata using model predictive control

Y. Pang, M.P. Spathopoulos, H. Xia

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

In this paper, a computationally efficient controller is proposed for the target control problem when the system is modelled by hybrid automata. The design is carried out in two stages. First, we compute off-line the shortest switching path which has the minimum discrete cost from an initial set to the given target set. Next, a controller is derived which successfully drives the system from any given initial state in the initial set to the target set while minimizing a cost function. The model predictive control (MPC) technique is used when the current state is not within a guard set, otherwise the mixed-integer predictive control (MIPC) technique is employed. An on-line, semi-explicit control algorithm is derived by combining these two techniques. When the system is subject to additive bounded disturbance, it is shown that the proposed on-line control algorithm holds if tighter constraints on the original nominal state and controller are imposed. Finally, as an application of the proposed control procedure, the high-speed and energy-saving control problem of the CPU processing is considered.
Original languageEnglish
Pages (from-to)1211-1230
Number of pages19
JournalNonlinear Analysis: Theory, Methods and Applications
Volume65
Issue number6
DOIs
Publication statusPublished - 8 Feb 2006

Keywords

  • predictive control
  • control systems
  • nonlinear analysis
  • engineering

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