A unifying system-theoretic view of adaptation in dynamical systems for researchers and graduates in cybernetics, mathematical modelling and neuroscience.
A unifying system-theoretic view of adaptation in dynamical systems for researchers and graduates in cybernetics, mathematical modelling and neuroscience.
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.
Inhaltsangabe
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.
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.
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