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Content Provider | IEEE Xplore Digital Library |
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Author | Guzman, E. Moreno, J.A. |
Copyright Year | 2012 |
Description | Author affiliation: Eléctrica y Computatión, Institute de Ingeniería, Universidad National Autónoma de México, 04510 México D.F., Mexico (Guzman, E.; Moreno, J.A.) |
Abstract | Recently, the authors have proposed [2] a new Direct MRAC (Model Reference Adaptive Control) for SISO, relative degree 1, LTI systems, which has finite-time tracking and parameter convergence. These properties are obtained by adding some strong, i.e. non locally Lipschitz or discontinuous, nonlinearities to the controller and parameter estimation algorithm of the classical MRAC. The Reference Model (RM) in [2] has been restricted to a SPR transfer function with no zeroes. The objective of this paper is to show that the same algorithm used in [2] is valid for any RM, having an SPR transfer function with relative degree one. However, the zero dynamics of the RM precludes the finite time convergence, but the proposed algorithm still converges faster than the classical one. A Lyapunov-based approach is used to prove these properties. Some simulations illustrate how the proposed algorithm provides the MRAC with a much better convergence than the classical algorithm, even in the presence of noise, for RMs with zero dynamics. |
Starting Page | 337 |
Ending Page | 342 |
File Size | 1660642 |
Page Count | 6 |
File Format | |
ISBN | 9781457720666 |
ISSN | 21583986 |
e-ISBN | 9781457720673 |
e-ISBN | 9781457720659 |
DOI | 10.1109/VSS.2012.6163525 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-01-12 |
Publisher Place | India |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Adaptation models Heuristic algorithms Polynomials Mathematical model Adaptive control Convergence |
Content Type | Text |
Resource Type | Article |
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