NDLI: Discrete-time LQR optimal tracking control problems using Approximate Dynamic Programming algorithm with disturbance

Content Provider	IEEE Xplore Digital Library
Author	Qingqing Xie Bin Luo Fuxiao Tan
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. Sci. & Technol., Anhui Univ., Hefei, China (Qingqing Xie; Bin Luo; Fuxiao Tan)
Abstract	Inspired by Approximate Dynamic Programming (ADP) and the Algebraic Riccatic Equation (ARE), this paper investigate a new optimal tracking control strategy for a class of discrete-time linear quadratic regulation (LQR) problems with disturbance. First, the optimal tracking problem is converted into designing infinite-horizon optimal regulator for the tracking error dynamics via system transformation. Then we compute the optimal tracking control policy, which can be considered as a way to solve the ARE of the well-known discrete-time optimal control problem forward in time. The iterative ADP algorithm via Heuristic Dynamic Programming (HDP) technique is introduced to solve the value function of the controlled system. To verify its robustness, disturbance is added to the controlled system. The simulation results show the effectiveness and robustness of the proposed algorithm in this paper.
Starting Page	716
Ending Page	721
File Size	676312
Page Count	6
File Format	PDF
ISBN	9781467362481
e-ISBN	9781467362498
DOI	10.1109/ICICIP.2013.6568166
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heuristic algorithms Optimal control Educational institutions Trajectory Performance analysis Mathematical model Equations
Content Type	Text
Resource Type	Article

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