Complex system modeling and control with distributed intelligent agents.
- Resource Type
- Theses
- Authors
- Tatara, Eric
- Source
- Dissertation Abstracts International; Dissertation Abstract International; 67-01B.
- Subject
- Engineering, Chemical
- Language
- English
Summary: The lack of accurate and computationally efficient model-based techniques for large, spatially distributed systems results in complications in controlling the system. A hierarchical, agent-based control structure is presented whereby local control objectives may be changed in order to achieve the global control objective. One challenge posed is control of the spatial distribution of autocatalytic species in a network of reactors hosting multiple species. The multi-agent control system is able to intelligently manipulate the network flow rates such that the desired spatial distribution of species is achieved. Furthermore, the robustness of the agent-based control system is illustrated through examples of disturbance rejection and scalability with respect to the size of the network.