Title: Design of an adaptive neural sliding-mode controller for seesaw systems

Authors: Hung-Yuan Chung, Lon-Chen Hung

Addresses: Department of Electrical Engineering, National Central University, Jhong-Li, Tao-Yuan, 320, Taiwan, ROC. ' Department of Electrical Engineering, National Central University, Jhong-Li, Tao-Yuan, 320, Taiwan, ROC

Abstract: In this paper, an Adaptive Neural Network Sliding-Mode Controller (ANNSMC) design approach is proposed. We present a novel adaptive method for a Neural Network (NN) system to approximate unknown non-linear continuous functions. The proposed scheme combines the benefits of the adaptive control, NN and Sliding-Mode Control (SMC) manner without precise system model information. It has online adjusting ability to cope with the unknown parametric and external disturbance by tuning the control parameters. The proposed ANNSMC approximator is then applied in the control of a seesaw system. Simulation results of the seesaw system show that the proposed controller is feasible and effective.

Keywords: adaptive control; neural networks; sliding-mode control; seesaw systems; simulation; control design.

DOI: 10.1504/IJCAT.2007.014558

International Journal of Computer Applications in Technology, 2007 Vol.28 No.4, pp.254 - 264

Published online: 16 Jul 2007 *

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