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Titlebook: Control Configuration Selection for Multivariable Plants; Ali Khaki-Sedigh,Bijan Moaveni Book 2009 Springer-Verlag Berlin Heidelberg 2009

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发表于 2025-3-21 16:09:59 | 显示全部楼层 |阅读模式
书目名称Control Configuration Selection for Multivariable Plants
编辑Ali Khaki-Sedigh,Bijan Moaveni
视频video
概述First book on control structure design for multivariable plants.Provides worked examples explaining the rather difficult theoretical concepts involved in advanced pairing techniques.Readable and attra
丛书名称Lecture Notes in Control and Information Sciences
图书封面Titlebook: Control Configuration Selection for Multivariable Plants;  Ali Khaki-Sedigh,Bijan Moaveni Book 2009 Springer-Verlag Berlin Heidelberg 2009
描述Control of multivariable industrial plants and processes has been a challenging and fascinating task for researchers in this field. The analysis and design methodologies for multivariable plants can be categorized as centralized and decentralized design strategies. Despite the remarkable theoretical achievements in centralized multiva- able control, decentralized control is still widely used in many industrial plants. This trend in the beginning of the third millennium is still there and it will be with us for the foreseeable future. This is mainly because of the easy implementation, main- nance, tuning, and robust behavior in the face of fault and model uncertainties, which is reported with the vast number of running decentralized controllers in the industry. The main steps involved in employing decentralized controllers can be summarized as follows: • Control objectives formulation and plant modeling. • Control structure selection. • Controller design. • Simulation or pilot plant experiments and Implementation. Nearly all the textbooks on multivariable control theory deal only with the control system analysis and design. The important concept of control structure selection which
出版日期Book 2009
关键词Control Structure Design; Decentralized Control; Input-Output Pairing; Interaction Measure; Multivariabl
版次1
doihttps://doi.org/10.1007/978-3-642-03193-9
isbn_softcover978-3-642-03192-2
isbn_ebook978-3-642-03193-9Series ISSN 0170-8643 Series E-ISSN 1610-7411
issn_series 0170-8643
copyrightSpringer-Verlag Berlin Heidelberg 2009
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发表于 2025-3-21 23:47:11 | 显示全部楼层
Introduction,These two terms are used interchangeably in this text to describe the same problem. In this chapter, decentralized control systems are briefly reviewed and the advantages and their design process are discussed. Then, an overview of the control configuration selection in the decentralized design proc
发表于 2025-3-22 02:01:20 | 显示全部楼层
Control Configuration of Linear Multivariable Plants: Advanced RGA Based Techniques,evelop the RGA dynamic extension.The Effective Relative Gain Array is another dynamic extension of the RGA presented in section 3.2.3, where the steady state gain and the response speed or plant bandwidth of the open loop transfer function are considered. Its key difference with the other RGA dynami
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0170-8643 plant experiments and Implementation. Nearly all the textbooks on multivariable control theory deal only with the control system analysis and design. The important concept of control structure selection which 978-3-642-03192-2978-3-642-03193-9Series ISSN 0170-8643 Series E-ISSN 1610-7411
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Control Configuration Selection for Multivariable Plants
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Introduction,l systems technology. Control systems community proposed two solution packages to tackle the stability and performance requirements of such plants. The first is to derive the multivariable plant by a .. The other approach is the . structure. Each of the proposed control methodologies has their advan
发表于 2025-3-23 03:08:19 | 显示全部楼层
Control Configuration of Linear Multivariable Plants: Advanced RGA Based Techniques,industry, with decades of successful applications. Although, the presented RGA analysis is sufficient for many practical problems, it is for some cases necessary to extend the RGA concept to handle certain shortcomings. This chapter provides an overview of the advanced pairing techniques based on th
发表于 2025-3-23 09:01:44 | 显示全部楼层
Control Configuration Selection of Linear Multivariable Plants: SSV and Passivity Based Techniques,RGA extensions solves a problem not considered by the static classical RGA. This chapter considers two advanced approaches for control configuration selection that are not RGA based. These techniques are:.. In this approach, Structured Singular Values (SSV) is employed to quantify the interaction in
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