Description

Product Description

Adaptation in Dynamical Systems by Ivan Tyukin presents a unified system-theoretic approach to understanding adaptation when complete mathematical models of a system or its environment are unavailable.

The book focuses extensively on adaptive regulation, tracking, and identification in dynamical systems, with particular attention to systems involving nonlinear parameterization and uncertainty. It develops concepts, methods, and algorithms applicable across mathematics, control engineering, nonlinear science, cybernetics, mathematical modelling, and neuroscience.

The book also explores practical and theoretical applications including adaptive behaviour in fixed-weight recurrent neural networks, visual information processing, adaptive template matching, and state and parameter estimation of neural oscillators.

With detailed mathematical treatment, worked examples, background material, references, and an index, this hardcover edition is particularly suitable for graduate students, researchers, engineers, mathematicians, and academics working in dynamical systems and related fields.

Key Highlights:

• System-theoretic treatment of adaptation in dynamical systems
• Adaptive regulation, tracking, and system identification
• Analysis of uncertain dynamical systems
• Nonlinear parameterization and uncertainty
• Adaptive behaviour in recurrent neural networks
• Visual information processing and adaptive template matching
• State and parameter estimation of neural oscillators
• Applications in cybernetics, mathematical modelling, and neuroscience
• Suitable for advanced academic and research use

Book Details:
Title: Adaptation in Dynamical Systems
Author: Ivan Tyukin
Publisher: Cambridge University Press
ISBN-13: 9780521198196
Format: Hardcover
Language: English
Publication Year: 2011
Pages: 428
Subject Areas: Dynamical Systems, Control Theory, Mathematical Modelling, Nonlinear Science, Neuroscience