Title
Discrete-time LQG dynamic controller design using plant Markov parameters
Abstract
The aim of this paper is to design a discrete-time LQG dynamic controller directly from the Markov parameters of a linear time-invariant plant. The main result obtained states that such a controller can be completely designed using only Markov parameters of the plant, and the designed controller is obtained in the form of its Markov parameters. This leads to a nonparametric design methodology based on the plant input-output behavior, and does not require a state-space realization of the plant. As an illustrative example, a reduced-order sampled-data controller is successfully designed for an infinite-dimensional time-delay plant.
Year
DOI
Venue
1995
10.1016/0005-1098(95)00045-X
Automatica
Keywords
Field
DocType
discrete-time lqg dynamic controller,plant markov parameter,discrete time,input output,closed form solution,design methodology,linear time invariant,state space
Control theory,Optimal control,Linear-quadratic-Gaussian control,Markov model,Control theory,Markov chain,Optimal projection equations,Control engineering,Discrete time and continuous time,Mathematics,Discrete system
Journal
Volume
Issue
ISSN
31
9
0005-1098
Citations 
PageRank 
References 
17
2.79
3
Authors
2
Name
Order
Citations
PageRank
Katsuhisa Furuta116776.43
Manop Wongsaisuwan2213.97