Abstract
A method for the design of stable adaptive control schemes for a class of industrial systems is first studied. The considered adaptive controllers can be based either on feedback of the complete state vector or on feedback of the system’s output. In the latter case the objective is to succeed simultaneous estimation of the system’s state vector and identification of the unknown system dynamics. Lyapunov analysis provides necessary and sufficient conditions in the controller’s design that assure the stability of the control loop. Examples of adaptive control applications to industrial systems are presented.
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© 2011 Springer-Verlag Berlin Heidelberg
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Rigatos, G.G. (2011). Adaptive Control Methods for Industrial Systems. In: Modelling and Control for Intelligent Industrial Systems. Intelligent Systems Reference Library, vol 7. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17875-7_4
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DOI: https://doi.org/10.1007/978-3-642-17875-7_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17874-0
Online ISBN: 978-3-642-17875-7
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