Abstract
In recent years, adaptive control of nonlinear systems has received much attention and many significant advances have been made in this field. Due to the complexity of nonlinear systems, at the present stage, research on adaptive nonlinear control is still focused on development of the fundamental methodologies. This book addresses adaptive control design for several classes of nonlinear systems using approximation-based techniques. The main objectives of the book are to develop stable adaptive neural control strategies, and to perform transient performance analysis of the resulted neural control systems analytically.
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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). Introduction. 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_1
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DOI: https://doi.org/10.1007/978-1-4757-6577-9_1
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4932-5
Online ISBN: 978-1-4757-6577-9
eBook Packages: Springer Book Archive