DocumentCode
2975017
Title
Symbolic solution of non-Markovian jump linear quadratic (JLQ) systems
Author
Sreenath, N. ; Chizeck, H.J.
Author_Institution
Dept. of Syst. Eng., Case Western Reserve Univ., Cleveland, OH, USA
fYear
1988
fDate
7-9 Dec 1988
Firstpage
1320
Abstract
The authors consider a class of scalar JLQ problems wherein the form transition probabilities are state-dependent and are piecewise constant in the state. The optimal solution is known to exhibit interesting algorithmic formulations of the control involving logical expressions and recursions. These are amenable to symbolic computation rather than to numerical processing. Symbolic computational methods can be used to design the optimal control law explicitly. A specific example is given, and extensions to more general problems are discussed
Keywords
linear systems; minimisation; optimal control; form transition probabilities; jump systems; linear quadratic systems; minimisation; nonMarkovian systems; optimal control; scalar systems; symbolic computation; Computational complexity; Control systems; Cost function; Linear systems; Markov processes; Nonlinear systems; Optimal control; Random processes; Steady-state; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1988., Proceedings of the 27th IEEE Conference on
Conference_Location
Austin, TX
Type
conf
DOI
10.1109/CDC.1988.194537
Filename
194537
Link To Document