Distributed Consensus and Coordination Control of Networked Multi-agent Systems
Cooperative collective behaviors in networks of autonomous agents, such as synchronization, consensus, swarming, and particularly flocking, have received considerable attention in recent years, with many significant results established. This chapter brief
- PDF / 254,295 Bytes
- 18 Pages / 439.36 x 666.15 pts Page_size
- 31 Downloads / 221 Views
Abstract Cooperative collective behaviors in networks of autonomous agents, such as synchronization, consensus, swarming, and particularly flocking, have received considerable attention in recent years, with many significant results established. This chapter briefly reviews part of distributed coordination control of general mobile multi-agent systems, including consensus, formation control, and distributed estimation-control of networked multi-agent systems. To that end, some important and promising future research issues are listed and briefly discussed.
1 Introduction Cooperative collective behaviors in networks of autonomous agents, such as synchronization, consensus, swarming, and particularly flocking, have received considerable attention in recent years due to their broad applications to biological systems, sensor networks, unmanned air vehicle formations, robotic cooperation teams, mobile communication systems, and so on. In a flock, to coordinate with other dynamical agents, every individual needs to share information with each other and they need to agree on a common objective of interest. In this pursuit of scientific research, two strategies are commonly adopted: centralized control and distributed control. The centralized approach assumes that a central station is available and powerful enough to communicate with and to control the whole group of mobile agents. On the contrary, the distributed approach does not require such a central unit for control and management, at the cost of becoming more complicated in both network structure and organization of multiple agents. Although both approaches are practically depending on the situations and conditions of the applications at
F. Yan () G. Chen () Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China e-mail: [email protected]; [email protected] L. Kocarev (ed.), Consensus and Synchronization in Complex Networks, Understanding Complex Systems, DOI 10.1007/978-3-642-33359-0 3, © Springer-Verlag Berlin Heidelberg 2013
51
52
F. Yan and G. Chen
hand, the distributed approach is generally more attractive due to the existence of many inevitable physical constraints in practice such as only locally available information, limited resources and energy, distance decay in communications, and the large scale of agent systems. This chapter reviews some recent progress in distributed consensus and coordination control of mobile multi-agent systems over complex communication networks. The study of distributed coordination control of mobile multi-agent systems was perhaps first motivated by the works in distributed computing [61], management science [24, 125], and statistical physics [117], among others. Within the control systems engineering community, some pioneering works include [114, 115] in particular. Thereafter, many consensus algorithms were developed and studied under various communication constraints [30, 39, 65, 74, 88]. Recent progress in this field was reviewed in, for example, surveys [43,67,73,90] and
Data Loading...
