On adaptive estimation and pole assignment of overparametrized systems
نویسندگان
چکیده
منابع مشابه
Adaptive fuzzy pole placement for stabilization of non-linear systems
A new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. We use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. Then, we linearized this identified model at each sampling time to have an approximate linear time varying system. In order to stabilize...
متن کاملadaptive fuzzy pole placement for stabilization of non-linear systems
a new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. we use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. then, we linearized this identified model at each sampling time to have an approximate linear time varying system. in order to stabilize...
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1 IRCCyN, École des Mines de Nantes, 4 rue Alfred Kastler, 44307 Nantes, France. [email protected] 2 Institute of Mathematics, University of Szczecin, 70451 Szczecin, Wielkopolska 15, Poland. [email protected] 3 Department of Mechanics and Mathematics, Kharkov University, 4 Svobody sqr., Kharkov, 61077, Ukraine. [email protected] J. J. Loiseau, W. Michiels, S.-I. Niculescu, R. Sipahi...
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The problem of pole assignment, also known as an eigenvalue assignment, in linear discrete-time periodic systems in discs was solved by a novel method which employs elementary similarity operations. The former methods tried to assign the points inside the unit circle while preserving the stability of the discrete time periodic system. Nevertheless, now we can obtain the location of eigenvalues ...
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B. Widrow e( al.. “Stationary and non-stationary learning characteristics of the LMS adaptive filter, ” Proc. IEEE, vol. 64, pp. 1151-1162.1976. M, Sondhi and D. Mitra, “New results on the performance of a well-known class of adaptive filter s,” Proc. IEEE, vol. 64, no, 11, Nov. 1976, A. Weiss and D. Mitra, “Digital adaptive fdtera: Conditions for convergence. effects of noise and errors arisin...
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ژورنال
عنوان ژورنال: International Journal of Adaptive Control and Signal Processing
سال: 1987
ISSN: 0890-6327,1099-1115
DOI: 10.1002/acs.4480010205