کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10398768 | 890329 | 2012 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics
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موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics](/preview/png/10398768.png)
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Automatica - Volume 48, Issue 10, October 2012, Pages 2699-2704
Journal: Automatica - Volume 48, Issue 10, October 2012, Pages 2699-2704
نویسندگان
Yu Jiang, Zhong-Ping Jiang,