NDLI: Decentralized pole-placement using generalized sampled-data hold functions

Content Provider	IEEE Xplore Digital Library
Author	Tousi, M.M. Ajorlou, A. Mahboubi, H. Aghdam, A.G.
Copyright Year	2012
Description	Author affiliation: Department of Electrical & Computer Engineering, Concordia University, 1455 de Maisonneuve Blvd. W., Montréal, Québec H3G 1M8 Canada (Tousi, M.M.; Ajorlou, A.; Mahboubi, H.; Aghdam, A.G.)
Abstract	This paper presents a novel sequential technique for pole-assignment in linear time-invariant (LTI) decentralized control systems. Generalized sampled-data hold functions (GSHF) are used as local controllers to place the modes of the equivalent discrete-time closed-loop system in the desired locations in the z-plane. These locations are assumed to be obtained by using a proper mapping from the continuous-time domain. The GSHFs are obtained one at a time, in a sequential fashion. In other words, each local controller is designed for the equivalent discrete-time closed-loop model associated with the previously designed controllers. While no bound is provided on the intersample ripple, the convergence of the samples to zero ensures that the intersample values will also approach zero as time increases. The main characteristic of the proposed method is that unlike conventional pole-placement algorithms, the design complexity here does not increase after each local controller is obtained. A numerical example is provided which confirms the efficacy of the proposed pole-placement technique.
Starting Page	6921
Ending Page	6925
File Size	149749
Page Count	5
File Format	PDF
ISBN	9781467320658
ISSN	07431546
e-ISBN	9781467320665
e-ISBN	9781467320641
DOI	10.1109/CDC.2012.6425911
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Distributed control Algorithm design and analysis Eigenvalues and eigenfunctions Complexity theory Kalman filters Closed loop systems
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation

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