TY  - BOOK
AU  - Gazi,Veysel
AU  - Passino,Kevin M.
ED  - SpringerLink (Online service)
TI  - Swarm Stability and Optimization
SN  - 9783642180415
AV  - Q342 
U1  - 006.3 23
PY  - 2011///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Engineering
KW  - Artificial intelligence
KW  - Computer vision
KW  - Computational Intelligence
KW  - Artificial Intelligence (incl. Robotics)
KW  - Control, Robotics, Mechatronics
KW  - Image Processing and Computer Vision
N1  - Part I Basic Principles -- Part II Continuous Time Swarms -- Part III Discrete Time Swarms -- Part IV Swarm Based Optimization Methods
N2  - 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
UR  - http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-18041-5
ER  -