Adaptation in Dynamical Systems

Informationen zum Autor Ivan Tyukin is an RCUK Academic Fellow in the Department of Mathematics, University of Leicester. His research interests cover many areas, including the analysis, modelling and synthesis of systems with fragile, nonlinear, chaotic, and meta-stable dynamics. Klappentext A unifying system-theoretic view of adaptation in dynamical systems for researchers and graduates in cybernetics, mathematical modelling and neuroscience. Zusammenfassung Largely devoted to the problems of adaptive regulation! tracking and identification! this book presents a unifying system-theoretic view on the problem of adaptation in dynamical systems. The detailed examples and background information make it suitable for a wide range of researchers and graduates in cybernetics! mathematical modelling and neuroscience. Inhaltsverzeichnis Part I. Introduction and Preliminaries: 1. Introduction; 2. Preliminaries; 3. The problem of adaptation in dynamical systems; Part II. Theory: 4. Input-output analysis of uncertain dynamical systems; 5. Adaptive regulation in dynamical systems in presence of nonlinear parametrization and unstable target dynamics; Part III. Applications: 6. Adaptive behaviour in recurrent neural networks with fixed weights; 7. Adaptive template matching in systems for processing of visual information; 8. State and parameter estimation of neural oscillators; Appendix; References; Index.

Product details

• Authors: Ivan Tyukin, Ivan (University of Leicester) Tyukin, Tyukin Ivan
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Hardback
• Released: 17.02.2011
• EAN: 9780521198196
• ISBN: 978-0-521-19819-6
• No. of pages: 428
• Subjects: Natural sciences, medicine, IT, technology > Physics, astronomy > General, dictionaries; Non-fiction book > Nature, technology > Astronomy: general, reference works; Social sciences, law, business > Media, communication > Book trade, library system; SCIENCE / Physics / General, Physics, Neurosciences, Mathematical modelling, Mathematics & science, Cybernetics and systems theory