摘要：Abstract: In this paper, an analytic constrained nonlinear state feedback for torque control of a gasoline engine is designed. The state feedback is based on the mean-value model of the gasoline engine, which consists of the intake manifold air filling dynamics and torque calibration equation. The proposed feedback can be made as close as possible to the minimum-time controller by adequately choosing a specific parameter of the controller. Illustrative experiments are proposed to assess the efficiency of the proposed controller. Comparing to the control performance of Model Predictive Control (MPC), the proposed solution suggests that as far as the underlying problem is concerned, the use of MPC seems to be unjustified.
