DocumentCode
1701818
Title
Stochastic optimal control of systems with soft constraints and opportunities for automotive applications
Author
Kolmanovsky, I.V. ; Filev, D.P.
Author_Institution
Ford Res. & Adv. Eng., Ford Motor Co., Dearborn, MI, USA
fYear
2009
Firstpage
1265
Lastpage
1270
Abstract
In this paper we illustrate the construction of a stochastic optimal control law that maximizes the expected time for a nonlinear discrete-time system to violate specified constraints. After reviewing the theory, two examples, of a stochastic adaptive cruise control and of hybrid electric vehicle energy management, are considered. Approaches to reconfiguring the control law on-board of the vehicle if statistics of the disturbance change are discussed.
Keywords
adaptive control; automobiles; discrete time systems; nonlinear control systems; optimal control; stochastic processes; automotive applications; hybrid electric vehicle energy management; nonlinear discrete-time system; soft constraints; stochastic adaptive cruise control; stochastic optimal control law; Adaptive control; Automotive applications; Control systems; Energy management; Hybrid electric vehicles; Optimal control; Programmable control; Statistics; Stochastic processes; Stochastic systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications, (CCA) & Intelligent Control, (ISIC), 2009 IEEE
Conference_Location
St. Petersburg
Print_ISBN
978-1-4244-4601-8
Electronic_ISBN
978-1-4244-4602-5
Type
conf
DOI
10.1109/CCA.2009.5280822
Filename
5280822
Link To Document