Title :
Model-Based Agents
Author :
Scheidt, D.H. ; Pekala, Michael J.
Author_Institution :
Johns Hopkins Appl. Phys. Lab., Laurel, MD
Abstract :
Agent-based control with software agents encapsulating model-based inference engines is described. This system is then used as a baseline for an exploration of the utility of distributed, agent-based control. This exploration includes a discussion on the importance of information in control, including how agent scoping and agent topologies are driven by information theoretic models.
Keywords :
model-based reasoning; power distribution control; power system analysis computing; software agents; agent-based control; complex electrical systems; distribution utility; information entropy; information theoretic models; model-based inference engines; model-based reasoning; model-based software agent; Collision mitigation; Control systems; Distributed control; Inference mechanisms; NASA; Nonlinear control systems; Robust control; Search engines; Software agents; Topology; agent-based control; information theory; model-based reasoning; non-linear systems;
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location :
Tampa, FL
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
DOI :
10.1109/PES.2007.386106
