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Swarm Stability and Optimization / by Veysel Gazi, Kevin M. Passino.

By: Gazi, Veysel [author.]Contributor(s): Passino, Kevin M [author.] | SpringerLink (Online service)Material type: Text

TextPublisher: 2011ISBN: 9783642180408Subject(s): Engineering | Artificial intelligence | Computer vision | Engineering | Computational Intelligence | Artificial Intelligence (incl. Robotics) | Control, Robotics, Mechatronics | Image Processing and Computer VisionAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 LOC classification: Q342Online resources: Full text available from SpringerLink ebooks - Engineering (2011)

Contents:

Part I Basic Principles -- Part II Continuous Time Swarms -- Part III Discrete Time Swarms -- Part IV Swarm Based Optimization Methods.

In: Springer eBooksSpringerLink ebooks - Engineering (2011)Summary: Swarming species such as flocks of birds or schools of fish exhibit fascinating collective behaviors during migration and predator avoidance. 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 such multi-agent dynamic systems and analyze their collective behavior using both stability theoretic and simulation-based approaches. In particular, we investigate problems such as group aggregation, social foraging, formation control, swarm tracking, distributed agreement, and engineering optimization inspired by swarm behavior.

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Item type	Current location	Home library	Shelving location	Call number	Status	Notes	Date due	Barcode	Item holds
Book	School of Mechanical & Manufacturing Engineering (SMME)	School of Mechanical & Manufacturing Engineering (SMME)	General Stacks	006.3 GAZ (Browse shelf)	Available	Rack,52-Shelf,1		SMME-2027

Total holds: 0

Part I Basic Principles -- Part II Continuous Time Swarms -- Part III Discrete Time Swarms -- Part IV Swarm Based Optimization Methods.

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Swarming species such as flocks of birds or schools of fish exhibit fascinating collective behaviors during migration and predator avoidance. 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 such multi-agent dynamic systems and analyze their collective behavior using both stability theoretic and simulation-based approaches. In particular, we investigate problems such as group aggregation, social foraging, formation control, swarm tracking, distributed agreement, and engineering optimization inspired by swarm behavior.

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