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The idle speed control is one of the most important automotive control problems. In this paper, the engine idle speed control problem comes down to optimization problem with input and state constraints. The controller using model predictive control (MPC) methodology based on linear programming is designed to regulate the engine speed. The simulation results show that the approach is an effective and...
In this paper, a linear programming method is proposed to solve model predictive control for a class of hybrid systems. Firstly, using the (max, +) algebra, a typical subclass of hybrid systems called max-plus-linear (MPL) systems is obtained. And then, model predictive control (MPC) framework is extended to MPL systems. In general, the nonlinear optimization approach or extended linear complementarity...
Hybrid systems receive a lot of attention from both the computer science and the control community in recent years. The max-plus-linear (MPL) system is a typical subclass of hybrid systems. In this paper, we extend model predictive control (MPC) framework to the MPL system. We present a new optimization method for MPL-MPC problem that is based on canonical forms for max-min-plus-scaling (MMPS) functions...
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