MAS-Based Cooperative Control for Biotechnological Process-A Case Study
HoloMAS '09 Proceedings of the 4th International Conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
Automatica (Journal of IFAC)
Distributed Control over Networks Using Smoothing Techniques
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Cooperative control and potential games
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Optimization of spatiotemporal clustering for target tracking from multisensor data
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Modeling recognizing behavior of radar high resolution range profile using multi-agent system
WSEAS Transactions on Information Science and Applications
Agent-Based control of self-sustained oscillations in industrial processes: a bioreactor case study
KES-AMSTA'12 Proceedings of the 6th KES international conference on Agent and Multi-Agent Systems: technologies and applications
International Journal of Web Portals
Event-based consensus of multi-agent systems with general linear models
Automatica (Journal of IFAC)
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The paradigm of multi-agent cooperative control is the challenge frontier for new control system application domains, and as a research area it has experienced a considerable increase in activity in recent years. This volume, the result of a UCLA collaborative project with Caltech, Cornell and MIT, presents cutting edge results in terms of the dimensions of cooperative control from leading researchers worldwide. This dimensional decomposition allows the reader to assess the multi-faceted landscape of cooperative control. Cooperative Control of Distributed Multi-Agent Systems is organized into four main themes, or dimensions, of cooperative control: distributed control and computation, adversarial interactions, uncertain evolution and complexity management. The military application of autonomous vehicles systems or multiple unmanned vehicles is primarily targeted; however much of the material is relevant to a broader range of multi-agent systems including cooperative robotics, distributed computing, sensor networks and data network congestion control. Cooperative Control of Distributed Multi-Agent Systems offers the reader an organized presentation of a variety of recent research advances, supporting software and experimental data on the resolution of the cooperative control problem. It will appeal to senior academics, researchers and graduate students as well as engineers working in the areas of cooperative systems, control and optimization.