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Discrete Time Systems Part 9

Tham khảo tài liệu 'discrete time systems part 9', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 14 Decentralized Adaptive Control of Discrete-Time Multi-Agent Systems Hongbin Ma1 Chenguang Yang2 and Mengyin Fu3 1Beijing Institute of Technology 2University of Plymouth 3Beijing Institute of Technology 1 3China 2United Kingdom 1. Introduction In this chapter we report some work on decentralized adaptive control of discrete-time multi-agent systems. Multi-agent systems one important class of models of the so-called complex systems have received great attention since 1980s in many areas such as physics biology bionics engineering artificial intelligence and so on. With the development of technologies more and more complex control systems demand new theories to deal with challenging problems which do not exist in traditional single-plant control systems. The new challenges may be classified but not necessarily restricted in the following aspects The increasing number of connected plants or subsystems adds more complexity to the control of whole system. Generally speaking it is very difficult or even impossible to control the whole system in the same way as controlling one single plant. The couplings between plants interfere the evolution of states and outputs of each plant. That is to say it is not possible to completely analyze each plant independently without considering other related plants. The connected plants need to exchange information among one another which may bring extra communication constraints and costs. Generally speaking the information exchange only occurs among coupled plants and each plant may only have local connections with other plants. There may exist various uncertainties in the connected plants. The uncertainties may include unknown parameters unknown couplings unmodeled dynamics and so on. To resolve the above issues multi-agent system control has been investigated by many researchers. Applications of multi-agent system control include scheduling of automated highway systems formation control of satellite clusters and distributed .