Abstract
Stability and transient performance are two important aspects in adaptive neural network control systems. In this book, constructive and systematic methods have been developed for stable adaptive NN control of nonlinear dynamic systems, while transient performances of these control schemes are rigorously analyzed. The problems mentioned in Chapter 1 associated with parameter drift, controllability problem, transient behaviour, choice of design parameters, and effects of initial conditions and reference signals, have been fully addressed in the controller design chapters after the relevant mathematics presented in Chapter 2, and the comprehensive treatment of neural network tunning algorithms in Chapter 3.
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© 2002 Springer Science+Business Media New York
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Ge, S.S., Hang, C.C., Lee, T.H., Zhang, T. (2002). Conclusion. In: Stable Adaptive Neural Network Control. The Springer International Series on Asian Studies in Computer and Information Science, vol 13. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-6577-9_8
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DOI: https://doi.org/10.1007/978-1-4757-6577-9_8
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4932-5
Online ISBN: 978-1-4757-6577-9
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