NDLI: Fixed final-time near optimal regulation of nonlinear discrete-time systems in affine form using output feedback

Content Provider	IEEE Xplore Digital Library
Author	Qiming Zhao Hao Xu Jagannathan, S.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO, USA (Qiming Zhao; Hao Xu; Jagannathan, S.)
Abstract	In this paper, the fixed final-time near optimal output regulation of affine nonlinear discrete-time systems with unknown system dynamics is considered. First, a neural network (NN)-based observer is proposed to reconstruct both the system state vector and control coefficient matrix. Next, actor-critic structure is utilized to approximate the time-varying solution of the Hamilton-Jacobi-Bellman (HJB) equation or value function. To satisfy the terminal constraint, a new error term is defined and incorporated in the NN update law so that the terminal constraint error is also minimized over time. A NN with constant weights and time-dependent activation function is employed to approximate the time-varying value function which subsequently is utilized to generate the fixed final time near optimal control policy due to NN reconstruction errors. The proposed scheme functions in a forward-in-time manner without offline training phase. The effectiveness of the proposed method is verified via simulation.
Starting Page	4643
Ending Page	4648
File Size	416831
Page Count	6
File Format	PDF
ISBN	9781479932726
ISSN	07431619
e-ISBN	9781479932740
DOI	10.1109/ACC.2014.6858756
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Artificial neural networks Observers Vectors Equations Approximation methods Optimal control Tuning optimal regulation finite-horizon Hamilton-Jacobi-Bellman equation neural network
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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