Title :
The uncertainty threshold principle: Fundamental limitations of optimal decision making under dynamic uncertainty
Author :
Athans, M. ; Ku, R. ; Gershwin, S.B.
Author_Institution :
Massachusetts Institute of Technology, Cambridge, Massachusetts
Abstract :
This note shows that the optimal control of dynamic systems with uncertain parameters has certain limitations. In particular, by means of a simple scalar linear-quadratic optimal control example, it is shown that the infinite horizon solution does not exist if the parameter uncertainty exceeds a certain threshold; we call this the Uncertainty Thereshold Principle. The philosophical and design implications of this result are discussed.
Keywords :
Control systems; Cost function; Decision making; Econometrics; Laboratories; Optimal control; Stochastic processes; Stochastic systems; Uncertain systems; Uncertainty;
Conference_Titel :
Decision and Control including the 15th Symposium on Adaptive Processes, 1976 IEEE Conference on
Conference_Location :
Clearwater, FL, USA
DOI :
10.1109/CDC.1976.267656