Pang, Y. and Spathopoulos, M.P. and Xia, H. (2006) Suboptimal target control for hybrid automata using model predictive control. Nonlinear Analysis: Theory, Methods and Applications, 65 (6). pp. 1211-1230. ISSN 0362-546X
Full text not available in this repository. (Request a copy from the Strathclyde author)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.
| Item type: | Article |
|---|---|
| ID code: | 3600 |
| Keywords: | predictive control, control systems, nonlinear analysis, engineering, Electrical engineering. Electronics Nuclear engineering |
| Subjects: | Technology > Electrical engineering. Electronics Nuclear engineering |
| Department: | Faculty of Engineering > Electronic and Electrical Engineering Faculty of Engineering > Mechanical and Aerospace Engineering |
| Related URLs: | |
| Depositing user: | Strathprints Administrator |
| Date Deposited: | 08 Jun 2007 |
| Last modified: | 12 Mar 2012 10:39 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/3600 |
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