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Karimi, Bahram; Menhaj, Mohammad Bagher

Non-affine nonlinear adaptive control of decentralized large-scale systems using neural networks. (English) Zbl 1196.93037

Inf. Sci. 180, No. 17, 3335-3347 (2010).
Summary: This paper introduces a new decentralized adaptive neural network controller for a class of large-scale nonlinear systems with unknown non-affine subsystems and unknown interconnections represented by nonlinear functions. A radial basis function neural network is used to represent the controller’s structure. The stability of the closed loop system is guaranteed through Lyapunov’s stability analysis. The effectiveness of the proposed decentralized adaptive controller is illustrated by considering two nonlinear systems: a two-inverted pendulum and a turbo generator. The simulation results verify the merits of the proposed controller.

Cited in 21 Documents

MSC:

93C40 Adaptive control/observation systems
93C10 Nonlinear systems in control theory
93A14 Decentralized systems
92B20 Neural networks for/in biological studies, artificial life and related topics
93A15 Large-scale systems

Keywords:

decentralized non-affine nonlinear systems; adaptive control; radial basis neural networks (RBNN)
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\textit{B. Karimi} and \textit{M. B. Menhaj}, Inf. Sci. 180, No. 17, 3335--3347 (2010; Zbl 1196.93037)
Full Text: DOI

References:

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