DocumentCode
2591748
Title
Distributed intelligent control theory of hybrid systems
Author
Ge, Xiaolin ; Nerode, Anil ; Kohn, Wolf ; James, John
fYear
1994
fDate
7-9 Dec. 1994
Firstpage
12
Lastpage
15
Abstract
We discuss advances in multiple-agent, distributed control of interactive processes. Our multiple agent hybrid control architecture approach is a new technology with broad applicability since it integrates the application of logic (set-based) and continuous-time models of complex system behavior. The Kohn-Nerode approach (1992, 1993) for integration of hybrid systems emphasizes online synthesis of automata which will meet current constraints. A key feature of the approach is that the evolution of the behavior trajectory of the automata (e.g. the behavior trajectory of agent i) is continuous in the carrier manifold. We provide an example of our results by discussing the case of multiple agents involved in the engagement of multiple targets, the agent behavior is continuous with respect to the multiple engagement process models whose potentials determine the portion of time the process is active in a time interval.<>
Keywords
automata theory; distributed control; intelligent control; interactive systems; large-scale systems; complex system behavior; continuous-time models; distributed intelligent control theory; hybrid systems; interactive processes; logic models; multiple agent hybrid control architecture approach; multiple engagement process models; multiple targets; multiple-agent distributed control; online automaton synthesis; set-based models; Actuators; Automata; Computerized monitoring; Information systems; Intelligent control; Logic; Physics computing; Power system modeling; Safety; Transducers;
fLanguage
English
Publisher
ieee
Conference_Titel
AI, Simulation, and Planning in High Autonomy Systems, 1994. Distributed Interactive Simulation Environments., Proceedings of the Fifth Annual Conference on
Conference_Location
Gainesville, FL, USA
Print_ISBN
0-8186-6440-1
Type
conf
DOI
10.1109/AIHAS.1994.390507
Filename
390507
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