Swarm Stability and Optimization [electronic resource] / by Veysel Gazi, Kevin M. Passino.
Tipo de material: TextoDescripción: XVIII, 302p. 74 illus., 60 illus. in color. online resourceISBN: 9783642180415 99783642180415Tema(s): Engineering | Artificial intelligence | Engineering | Artificial Intelligence (incl. Robotics) | COMPUTADOR VISIÓN | IMAGE PROCESSING AND COMPUTER VISION | COMPUTATIONAL INTELIGENCE | CONTROL, ROBOTICS, MECHATRONICSClasificación CDD: 006.3 Recursos en línea: ir a documentoTipo de ítem | Ubicación actual | Colección | Signatura | Info Vol | Copia número | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems |
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DOCUMENTOS DIGITALES | Biblioteca Jorge Álvarez Lleras | Digital | 006.3 223 (Navegar estantería) | Ej. 1 | 1 | Disponible | D000731 |
Part I Basic Principles -- Part II Continuous Time Swarms -- Part III Discrete Time Swarms -- Part IV Swarm Based Optimization Methods.
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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