Title :
The role and use of the stochastic linear-quadratic-Gaussian problem in control system design
Author_Institution :
Massachusetts Institute of Technology, Cambridge, MA, USA
fDate :
12/1/1971 12:00:00 AM
Abstract :
The role of the linear-quadratic stochastic control problem in engineering design is reviewed in tutorial fashion. The design approach is motivated by considering the control of a non-linear uncertain plant about a desired input-output response. It is demonstrated how a design philosophy based on 1) deterministic perturbation control, 2) stochastic state estimation, and 3) linearized stochastic control leads to an overall closed-loop control system. The emphasis of the paper is on the philosophy of the design process, the modeling issue, and the formulation of the problem; the results are given for the sake of completeness, but no proofs are included. The systematic off-line nature of the design process is stressed throughout.
Keywords :
Linear systems, stochastic continuous-time; Nonlinear systems, stochastic continuous-time; Optimal stochastic control; Stochastic optimal control; Uncertain systems; Actuators; Control systems; Control theory; Design engineering; Helium; Power engineering and energy; Process design; State estimation; Stochastic systems; Systems engineering and theory;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1971.1099818