Neural network based, discrete adaptive sliding mode control for idle speed regulation in IC engines

An adaptive sliding mode control design method is proposed for discrete nonlinear systems where explicit knowledge of the system dynamics is nor available. Three-layer feed forward neural networks are used as function approximators for the unknown dynamics. The control law is designed based on the outputs of the approximators, ann the sliding surface is defined in terms of a stable polynomial of the system outputs. Convergence of the state trajectories into a small sliding sector is proved. The method is applied to the internal combustion (IC) engine idle speed control problem. Simulation and experimental results are provided. [S0022-0434(00)01702-0].