Neural Network Based, Discrete Adaptive Sliding Mode Control for Idle Speed Regulation in IC Engines-Reference-Cited by-同舟云学术

Neural Network Based, Discrete Adaptive Sliding Mode Control for Idle Speed Regulation in IC Engines

Published:1999-05-25 Issue:2 Volume:122 Page:269-275
ISSN:0022-0434
Container-title:Journal of Dynamic Systems, Measurement, and Control
language:en
Short-container-title:

Author:

Li Xiaoqiu¹,Yurkovich Stephen¹

Affiliation:

1. Center for Automotive Research, Department of Electrical Engineering, The Ohio State University, 2015 Neil Avenue, Columbus, OH 43210

Abstract

An adaptive sliding mode control design method is proposed for discrete nonlinear systems where explicit knowledge of the system dynamics is not available. Three-layer feedforward neural networks are used as function approximators for the unknown dynamics. The control law is designed based on the outputs of the approximators, and 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]

Publisher

ASME International

Subject

Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering

Link

http://asmedigitalcollection.asme.org/dynamicsystems/article-pdf/122/2/269/5495632/269_1.pdf

Reference19 articles.

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4. Spurgeon, S. K., 1991, “Sliding Mode Control Design for Uncertain Discrete-time Systems,” Proc. 30th IEEE Conf. on Decision and Control, Brighton, England, pp. 2136–2141.

5. Sira-Ramirez, S. , 1991, “Non-linear Discrete Variable Structure Systems in Quasi-sliding Mode,” Int. J. Control, 54, pp. 1171–1187.

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