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Kevin Passino: Books

Panos J. Antsaklis, Kevin M. Passino, eds.,

An Introduction to Intelligent and Autonomous Control

Kluwer Academic Publishers, Norwell, MA, 1993.

•  Synopsis: An introduction to the field of intelligent control with a broad treatment of topics by several authors (including hierarchical/ distributed intelligent control, fuzzy control, expert control, neural networks, planning systems, and applications). This is an edited monograph with original contributions from each author.
• How to get the book: Book is no longer in print from Kluwer. You may be able to get a used copy off Amazon.com, but DO NOT BUY IT! This book is available in electronic format for a FREE download by clicking here.

Kevin M. Passino and Stephen Yurkovich,

Fuzzy Control

Addison Wesley Longman, Menlo Park, CA, 1998 (later published by Prentice-Hall).

•  Synopsis: An introduction to the field of fuzzy control with a broad treatment of topics including direct fuzzy control, nonlinear analysis, identification/ estimation, adaptive and supervisory control, and applications. This is a textbook with many examples, exercises and design problems, and code available for downloading (also, this book is listed as a Matlab textbook at Mathworks).
• Supplemental Information: For the errata, click here. You can get the code for the book (e.g., fuzzy controllers, estimators, etc.) by clicking here.
• How to Get the Book: Book no longer in print. You may be able to get a used copy off Amazon.com, but DO NOT BUY IT! This book is available in electronic format for a FREE download by clicking here.

Kevin M. Passino and Kevin L. Burgess,

Stability Analysis of Discrete Event Systems

John Wiley and Sons, NY, 1998.

•  Synopsis: Covers the theory and application of stability analysis for discrete event systems. The main relevant stability theory is developed, models are introduced, and three classes of applications are considered: load balancing systems for computer networks, scheduling flexible manufacturing systems, and intelligent control systems. This could be used as a textbook and there are many examples and homework problems.
• Ordering Information: See the web site at John Wiley and Sons by clicking here. For Amazon.com click here.

• Synopsis: Shows how to structure and implement hierarchical and distributed real-time control systems (RCS) for complex control and automation problems. Starts with a tutorial introduction showing how to implement an RCS for a university tank experiment using the RCS software library. Provides a user's manual for all software details, with examples from an autonomous vehicles problem.
• Supplemental Information: To get the code and a significant amount of other information on this topic click here.
• Ordering Information: See the web page at John Wiley and Sons by clicking here. For Amazon.com click here. For background information on RCS click here.

• Synopsis: Introduces stability, approximator structures (neural and fuzzy), and relevant approximation theory. Develops stable indirect and direct adaptive fuzzy/neural controllers for state-feedback, output feedback, and MIMO continuous time cases. Also, shows extensions to discrete-time and decentralized control. Gives many examples, applications, and experimental results (also, this book is listed as a Matlab textbook at Mathworks).
• Supplemental Information: To get Matlab and C code for solutions to some of the problems studied in the book click here.
• Ordering Information: See the web page at John Wiley and Sons by clicking here. For Amazon.com click here.

•  Synopsis: Part I: Introduction: Challenges of control and automation, 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, linear least squares methods, gradient methods, adaptive control. Part IV: Evolution: Genetic algorithm, stochastic and nongradient optimization for design, evolution and learning: synergistic effects. Part V: Foraging: Cooperative forarging and search (including swarm stability), competitive and intelligent foraging.
• Supplemental Information: There is a significant amount of Matlab code that is provided with the book, and you can get by clicking here.
• Ordering Information: See the Springer web page, or see Amazon.com by clicking here.