Artificial Intelligence Theory and Reconfigurable Control Systems.
Interim technical rept.,
PRINCETON UNIV NJ DEPT OF MECHANICAL AND AEROSPACE ENGINEERING
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A program for the analytic and experimental investigation of reconfigurable control systems is described. Its principal objectives are to extend the theory of artificial intelligence and to develop practical methods of applying artificial intelligence heuristics, statistical hypothesis testing, and modern control theory to the reconfiguration of control systems following sensor failures, actuator failures, power supply or transmission failures, or unforeseen changes in dynamic characteristics. Objectives include the definition of typical failure modes and effects formulation and investigation of algorithms for detection, identification, estimation, and control numerical simulation of failure and reconfiguration and experimentation using a microprocessor-based reconfigurable control system. Author
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