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.
|Title of host publication||Proceedings of International Conference on Computational Science and Its Applications|
|Number of pages||6|
|Publication status||Published - 2006|
|Name||Lecture Notes in Computer Science|
- hybrid automata
- control systems
- predictive control
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.