Kevin M. Passino

Swarming species such as flocks of birds or schools of fish exhibitfascinating collective behaviors during migration and predatoravoidance. Similarly, engineered multi-agent dynamic systems such as groups of autonomous ground, underwater, or air vehicles (“vehicle swarms”) exhibit sophisticated collective behaviors while maneuvering. In this book we show how to model and control a wide range of suchmulti-agent dynamic systems and analyze their collective behaviorusing both stability theoretic and simulation-based approaches. Inparticular, we investigate problems such as group aggregation, socialforaging, formation control, swarm tracking, distributed agreement,and engineering optimization inspired by swarm behavior.

Swarming species such as flocks of birds or schools of fish exhibitfascinating collective behaviors during migration and predatoravoidance. Similarly, engineered multi-agent dynamic systems such as groups of autonomous ground, underwater, or air vehicles (“vehicle swarms”) exhibit sophisticated collective behaviors while maneuvering. In this book we show how to model and control a wide range of suchmulti-agent dynamic systems and analyze their collective behaviorusing both stability theoretic and simulation-based approaches. Inparticular, we investigate problems such as group aggregation, socialforaging, formation control, swarm tracking, distributed agreement,and engineering optimization inspired by swarm behavior.

A powerful, yet easy-to-use design methodology for the control of nonlinear dynamic systems A key issue in the design of control systems is proving that the resulting closed-loop system is stable, especially in cases of high consequence applications, where process variations or failure could result in unacceptable risk. Adaptive control techniques provide a proven methodology for designing stable controllers for systems that may possess a large amount of uncertainty. At the same time, the benefits of neural networks and fuzzy systems are generating much excitement—and impressive innovations—in almost every engineering discipline. Stable Adaptive Control and Estimation for Nonlinear Systems: Neural and Fuzzy Approximator Techniques brings together these two different but equally useful approaches to the control of nonlinear systems in order to provide students and practitioners with the background necessary to understand and contribute to this emerging field. The text presents a control methodology that may be verified with mathematical rigor while possessing the flexibility and ease of implementation associated with "intelligent control" approaches. The authors show how these methodologies may be applied to many real-world systems including motor control, aircraft control, industrial automation, and many other challenging nonlinear systems. They provide explicit guidelines to make the design and application of the various techniques a practical and painless process. Design techniques are presented for nonlinear multi-input multi-output (MIMO) systems in state-feedback, output-feedback, continuous or discrete-time, or even decentralized form. To help students and practitioners new to the field grasp and sustain mastery of the material, the book features:*Background material on fuzzy systems and neural networks *Step-by-step controller design *Numerous examples *Case studies using "real world" applications *Homework problems and design projects

The complete engineering resource for implementing the NIST real-time control systems software library The National Institute of Standards and Technology (NIST) real-time control systems (RCS) library is a highly useful tool for engineers developing and implementing hierarchical and distributed real-time control systems. This book serves as a user’s guide for development engineers using the software library in industrial applications. The RCS Handbook is divided into three parts. The first section provides a tutorial introduction to RCS that discusses the RCS design methodology and the Reference Model Architecture (RMA) on which the RCS library is based. The second section serves as an RCS handbook for applications engineers and features two illustrative design examples, coverage of issues in programming in Neutral Message Language (NML), and discussion of code generation and architecture files. The third section provides helpful appendices that provide useful background information on the C++ language, compilers and makefiles, and general operating system concepts. Suitable as a primary text for a course in real-time control or as a professional reference, The RCS Handbook is a one-of-a-kind resource that provides unparalleled coverage of the RCS library and practical solutions in high-tech automation.