Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10398768 | Automatica | 2012 | 6 Pages |
Abstract
This paper presents a novel policy iteration approach for finding online adaptive optimal controllers for continuous-time linear systems with completely unknown system dynamics. The proposed approach employs the approximate/adaptive dynamic programming technique to iteratively solve the algebraic Riccati equation using the online information of state and input, without requiring the a priori knowledge of the system matrices. In addition, all iterations can be conducted by using repeatedly the same state and input information on some fixed time intervals. A practical online algorithm is developed in this paper, and is applied to the controller design for a turbocharged diesel engine with exhaust gas recirculation. Finally, several aspects of future work are discussed.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Yu Jiang, Zhong-Ping Jiang,