Abstract | ||
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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 |
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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 Furuta | 1 | 167 | 76.43 |
Manop Wongsaisuwan | 2 | 21 | 3.97 |