Discrete-Time High Order Neural Control Trained with Kaiman Filtering /

Discrete-Time High Order Neural Control Trained with Kaiman Filtering /

The objective of this work is to present recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple outputs. The results that appear in each chapter include rigorous mathematical analyses, based on the Lyapunov approach, in order to guarante...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Sanchez, Edgar N. (Συγγραφέας), Alanís, Alma Y. (Συγγραφέας), Loukianov, Alexander G. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
Σειρά:	Studies in Computational Intelligence, 112
Θέματα:	Engineering. Artificial intelligence. System theory. Statistical physics. Dynamical systems. Applied mathematics. Engineering mathematics. Control engineering. Robotics. Mechatronics. Appl.Mathematics/Computational Methods of Engineering. Artificial Intelligence (incl. Robotics). Statistical Physics, Dynamical Systems and Complexity. Control, Robotics, Mechatronics. Systems Theory, Control.
Διαθέσιμο Online:	Full Text via HEAL-Link

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