Title :
Comments on "Integral variable structure control of nonlinear system using a CMAC neural network learning Approach"
Author_Institution :
Fac. of Eng. Sci., Univ. of Jijel, Algeria
Abstract :
In the above paper, an adaptive integral variable structure control scheme using CMAC neural networks was proposed for a class of uncertain nonlinear systems. The author of the above paper claimed that the proposed controller ensures convergence of the tracking error to zero (see property 2 of Theorem 1). In this note, we point out that the proof of the property 2 is incorrect and therefore this property is untenable.
Keywords :
adaptive control; cerebellar model arithmetic computers; learning (artificial intelligence); nonlinear systems; CMAC neural network learning approach; integral variable structure control scheme; nonlinear system; Adaptive control; Control systems; Convergence; Error correction; Neural networks; Nonlinear control systems; Nonlinear equations; Nonlinear systems; Programmable control; Adaptive control; CMAC; neural network control; nonlinear systems; variable structure control; Algorithms; Models, Statistical; Neural Networks (Computer); Nonlinear Dynamics;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMCB.2004.834436