NDLI: Linear quadratic Gaussian control of 2-dimensional systems

Content Provider	Springer Nature Link
Author	Yang, Ran Zhang, Cishen Xie, Lihua
Copyright Year	2007
Abstract	The linear quadratic Gaussian (LQG) control for one-dimensional (1D) systems has been known to be one of the fundamental and significant methods in linear system theory. However, the LQG control problem for two-dimensional (2D) systems has not been satisfactorily solved due to their structural and dynamical complexity. In this paper, sufficient conditions for evaluation of the quadratic performance indices of 2D systems in terms of the system state and control variables are proposed. Using these conditions, systematic design methods for finite horizon and infinite horizon LQG controls of 2D systems are developed using a convex optimization method.
Starting Page	273
Ending Page	295
Page Count	23
File Format	PDF
ISSN	09236082
Journal	Multidimensional Systems and Signal Processing
Volume Number	18
Issue Number	4
e-ISSN	15730824
Language	English
Publisher	Springer US
Publisher Date	2007-02-10
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Two-Dimensional Systems Linear quadratic Gaussian (LQG) control Fornasini-Marchesini model Artificial Intelligence (incl. Robotics) Signal, Image and Speech Processing Electronic and Computer Engineering Circuits and Systems
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Signal Processing Information Systems Computer Science Applications Software Hardware and Architecture

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Linear quadratic Gaussian control of 2-dimensional systems