Biomimicry for Optimization, Control, and Automation
Springer-Verlag, London, UK, 2005
by: Kevin M. Passino
- Part I: Introduction: Challenges of control and automation (appropriate for non-controls person), scientific foundations of biomimicry.
- Part II: Elements of Decision-Making: Neural network substrates for control instincts, rule-based control, planning systems, attentional systems (including stability analysis).
- Part III: Learning: Learning and control (off/on-line approximation perspective, heuristic adaptive control), linear least squares methods (batch and recrusive least squares), gradient methods (e.g. Levenberg-Marquardt), adaptive control (optimization perspective, introduction to stable adaptive control).
- Part IV: Evolution: Genetic algorithm, stochastic and nongradient optimization for design (e.g., pattern search methods, response surface methodology), evolution and learning: synergistic effects.
- Part V: Foraging: Cooperative foraging and search (optimization models, swarm stability), competitive and intelligent foraging (game-theoretic formulations, outlook on future of area).
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- 926 pages, 365 figures
- Homework exercises/design problems
- Many worked examples and applications
- Significant amount of Matlab code available (see above)
Table of Contents:
Part I: Introduction
Chapter 1: Challenges in Computer Control and Automation
Chapter 2: Scientific Foundations for Biomimicry
Chapter 3: For Further Study
Part II: Elements of Decision Making
Chapter 4: Neural Network Substrates for Control Instincts
Chapter 5: Rule-Based Control
Chapter 6: Planning Systems
Chapter 7: Attentional Systems
Chapter 8: For Further Study
Part III: Learning
Chapter 9: Learning and Control
Chapter 10: Linear Least Squares Methods
Chapter 11: Gradient Methods
Chapter 12: Adaptive Control
Chapter 13: For Further Study
Part IV: Evolution
Chapter 14: The Genetic Algorithm
Chapter 15: Stochastic and Nongradient Optimization for Design
Chapter 16: Evolution and Learning: Synergistic Effects
Chapter 17: For Further Study
Part V: Foraging
Chapter 18: Cooperative Foraging and Search
Chapter 19: Competitive and Intelligent Foraging
Chapter 20: For Further Study
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