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
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;
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
DOI :
10.1109/CCA.2009.5280822
