Adaptive control for a class of second-order nonlinear systems with unknown input nonlinearities.

Adaptive control for a class of second-order nonlinear systems with unknown input nonlinearities. Research Abstract Details 

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Adaptive control for a class of second-order nonlinear systems with unknown input nonlinearities. Abstract Text:

T Zhang,M Guay,

An adaptive controller is developed for a class of second-order nonlinear dynamic systems with input nonlinearities using artificial neural networks (ANN). The unknown input nonlinearities are continuous and monotone and satisfy a sector constraint. In contrast to conventional Lyapunov-based design techniques, an alternative Lyapunov function, which depends on both system states and control input variable, is used for the development of a control law and a learning algorithm. The proposed adaptive controller guarantees the stability of the closed-loop system and convergence of the output tracking error to an adjustable neighbour of the origin.

Adaptive control for a class of second-order nonlinear systems with unknown input nonlinearities. Publishing Authors By Initials

T Zhang,M Guay,

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Adaptive control for a class of second-order nonlinear systems with unknown input nonlinearities. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: IEEE transactions on systems, man, and cybernetics

VOLUME: 33

Page Numbers: 143-9

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ISSN: 1083-4419

DAY: 1

MONTH: 02

YEAR: 2003

Adaptive control for a class of second-order nonlinear systems with unknown input nonlinearities. Information

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LANGUAGE: eng

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Grant and Affiliation Information for Adaptive control for a class of second-order nonlinear systems with unknown input nonlinearities.

AFFILIATION: Dept. of Chem. Eng., Queen's Univ., Kingston, Ont., Canada.

Country: United States

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MEDLINETA: IEEE Trans Syst Man Cybern B C

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