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

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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

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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

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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

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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