Adaptive Control of a Class of Non-Affine Systems using Neural Networks | IEEE Conference Publication | IEEE Xplore

Adaptive Control of a Class of Non-Affine Systems using Neural Networks


Abstract:

A neural control synthesis method is considered for a class of non-affine uncertain single-input, single-output systems. The method eliminates a fixed-point assumption an...Show More

Abstract:

A neural control synthesis method is considered for a class of non-affine uncertain single-input, single-output systems. The method eliminates a fixed-point assumption and does not assume boundedness on the time derivative of a control effectiveness term. One or the other of these assumptions exist in earlier papers on this subject. Using Lyapunov's direct method, it is shown that all the signals of the closed-loop system are uniformly ultimately bounded, and that the tracking error converges to an adjustable neighborhood of the origin. Simulation with a Van Der Pol equation with non-affine control terms illustrates the approach.
Date of Conference: 15-15 December 2005
Date Added to IEEE Xplore: 30 January 2006
Print ISBN:0-7803-9567-0
Print ISSN: 0191-2216
Conference Location: Seville, Spain

References

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