8 research outputs found

    Networked control systems: a sampled-data approach

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    Browse \u3e Conferences\u3e Intelligent Control. 2003 IEEE ... Networked control systems: a sampled-data approach .1254671 abstract . Hokayem, P.F.; Abdallah, C.T.; Dept. of EECE, Univ. of New Mexico, Albuquerque, NM, USA This paper appears in: Intelligent Control. 2003 IEEE International Symposium on Issue Date: 8-8 Oct. 2003 On page(s): 415 - 419 Location: Houston, TX, USA Print ISBN: 0-7803-7891-1 INSPEC Accession Number: 7929432 Digital Object Identifier: 10.1109/ISIC.2003.1254671 Date of Current Version: 08 January 2004 Abstract In this paper we present a novel modelling method for networked control systems, motivated from a sampled-data approach. We study sufficient conditions that guarantee exponential stability for the closed-loop system and illustrate our results via a numerical example

    Quasi-Monte Carlo methods in robust control design

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    Digital Object Identifier: 10.1109/CDC.2003.1272985Many practical control problems are so complex that traditional analysis and design methods fail to solve. Consequently, sampling methods that provide approximate solutions to such difficult problems have emerged. In this paper we address the deterministic quasi-Monte Carlo method of sampling and attempt to impose bounds on the error involved in the evaluation of the quality of performance of a specific controller over the whole plant parameter uncertainty space.IEE

    Inherent issues in networked control systems: A survey

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    Due to major advancements in the area of networking over the past decade, a new paradigm of control systems has emerged, namely networked control systems. Such systems differ from classical control systems in that their control loops are closed around communication networks. Thus, the need for new stability and performance guarantees arises. In this paper, we aim to shed some light on the major advancements and inherent problems in networked control systems.IEE

    Input-to-State Stable Attitude Control

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