00000cmm a22000005i 4500 UP-99796217611190884 Buklod 20140422102031.0 m go j cr cn |||aaaaa 101130s2011 xxk u | eng d 9780857291691 (eBook) (iLib)UPD-00214607758 DML eng DMLUC QA76.76.I58 D57 2011eb Ren, Wei. author. Distributed Coordination of Multi-agent Networks [electronic resource] Emergent Problems, Models, and Issues by Wei Ren, Yongcan Cao. London Springer London c2011. 1 online resource (xviii, 310 p.). text txt rdacontent computer rdamedia online resource cr rdacarrier Communications and Control Engineering 0178-5354 Part I: Preliminaries and Literature Review -- Preliminaries -- Overview of Recent Research in Distributed Multi-agent Coordination -- Part II: Emergent Problems in Distributed Multi-agent Coordination -- Collective Periodic Motion Coordination -- Collective Tracking with a Dynamic Leader -- Containment Control with Multiple Leaders -- Part III: Emergent Models in Distributed Multi-agent Coordination -- Networked Lagrangian Systems -- Networked Fractional-order Systems -- Part IV Emergent Issues in Distributed Multi-agent Coordination -- Sampled-data Setting -- Optimality Aspect -- Time Delay. Multi-agent systems have numerous civilian, homeland security, and military applications; however, for all these applications, communication bandwidth, sensing range, power constraints, and stealth requirements preclude centralized command and control. The alternative is distributed coordination, which is more promising in terms of scalability, robustness, and flexibility. Distributed Coordination of Multi-agent Networks introduces problems, models, and issues such as collective periodic motion coordination, collective tracking with a dynamic leader, and containment control with multiple leaders, and explores ideas for their solution. Solving these problems extends the existing application domains of multi-agent networks; for example, collective periodic motion coordination is appropriate for applications involving repetitive movements, collective tracking guarantees tracking of a dynamic leader by multiple followers in the presence of reduced interaction and partial measurements, and containment control enables maneuvering of multiple followers by multiple leaders. The authors? models for distributed coordination arise from physical constraints and the complex environments in which multi-agent systems operate; they include Lagrangian models ? more realistic for mechanical-systems modeling than point models ? and fractional-order systems which better represent the consequences of environmental complexity. Other issues addressed in the text include the time delays inherent in networked systems, optimality concerns associated with the design of energy-efficient algorithms, and the use of sampled-data settings in systems with intermittent neighbor-neighbor contact. Researchers, graduate students, and engineers interested in the field of multi-agent systems will find this monograph useful in introducing them to presently emerging research directions and problems in distributed coordination of multi-agent networks. Electronic book. Engineering. Artificial intelligence. Artificial intelligence (incl. Robotics). Robotics and Automation. Communications Engineering, Networks. Wei Ren, Yongcan Cao. SpringerLink (Online service). Available for University of the Philippines Diliman via SpringerLink. Click here to access http://link.springer.com/book/10.1007/978-0-85729-169-1 FO Monograph UPD DMLR Electronic Resource