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Direct Adaptive fuzzy control with less restrictions on the control gain


Phan, PA and Gale, TJ, Direct Adaptive fuzzy control with less restrictions on the control gain, International Journal of Control, Automation, and Systems, 5, (6) pp. 621-629. ISSN 1740-7516 (2007) [Refereed Article]

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Copyright 2007 Institute of Control, Automation, and Systems Engineers

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In the adaptive fuzzy control field for affine nonlinear systems, there are two basic configurations: direct and indirect. It is well known that the direct configuration needs more restrictions on the control gain than the indirect configuration. In general, these restrictions are difficult to check in practice where mathematical models of plant are not available. In this paper, using a simple extension of the universal approximation theorem, we show that the only required constraint on the control gain is that its sign is known. The Lyapunov synthesis approach is used to guarantee the stability and convergence of the closed loop system. Finally, examples of an inverted pendulum and a magnet levitation system demonstrate the theoretical results.

Item Details

Item Type:Refereed Article
Keywords:affine nonlinear system, direct adaptive fuzzy control, less restriction on the control gain, neural fuzzy system
Research Division:Information and Computing Sciences
Research Group:Machine learning
Research Field:Neural networks
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the physical sciences
UTAS Author:Phan, PA (Mr Phi Phan)
UTAS Author:Gale, TJ (Dr Timothy Gale)
ID Code:49894
Year Published:2007
Deposited By:Engineering
Deposited On:2007-08-01
Last Modified:2012-12-14
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