902 resultados para Intelligent control systems


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National Highway Traffic Safety Administration, Washington, D.C.

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Mode of access: Internet.

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Performing organizations: Mitretek Systems and PB Farradyne, Inc.

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"December 2000"--P. [4] of cover.

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"Research was supported by the United States Air Force through the Air Force Office of Scientific Research, Air Research and Development Command."

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Originally presented as thesis at School of Advanced Airpower Studies, Air University, 1993-94.

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Thesis (M.S.)--Cornell University, Jan., 1975.

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At head of title: Microwave Research Institute, Polytechnic Institute of Brooklyn, Systems and Controls Group, R-688-58, PIB-616, contract no. DA-30-069-ORD-1560.

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Includes bibliography.

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Thesis (Ph.D.)--University of Washington, 2016-06

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This paper addresses advanced control of a biological nutrient removal (BNR) activated sludge process. Based on a previously validated distributed parameter model of the BNR activated sludge process, we present robust multivariable controller designs for the process, involving loop shaping of plant model, robust stability and performance analyses. Results from three design case studies showed that a multivariable controller with stability margins of 0.163, 0.492 and 1.062 measured by the normalised coprime factor, multiplicative and additive uncertainties respectively give the best results for meeting performance robustness specifications. The controller robustly stabilises effluent nutrients in the presence of uncertainties with the behaviour of phosphorus accumulating organisms as well as to effectively attenuate major disturbances introduced as step changes. This study also shows that, performance of the multivariable robust controller is superior to multi-loops SISO PI controllers for regulating the BNR activated sludge process in terms of robust stability and performance and controlling the process using inlet feed flowrate is infeasible. (C) 2003 Elsevier Ltd. All rights reserved.