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

• 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.

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...