Control Configuration Selection for Multivariable Plants [electronic resource] /by Ali Khaki-Sedigh, Bijan Moaveni.
by Khaki-Sedigh, Ali [author.]; Moaveni, Bijan [author.]; SpringerLink (Online service).
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Item type | Current location | Call number | Status | Date due | Barcode |
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TJ163.12 (Browse shelf) | Available | ||||
Long Loan | MAIN LIBRARY | TJ210.2-211.495 (Browse shelf) | Available |
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QD901-999 Dislocation Dynamics During Plastic Deformation | TA329-348 Innovations in Digital Watermarking Techniques | TA329-348 Advances in Agent-Based Complex Automated Negotiations | TJ210.2-211.495 Control Configuration Selection for Multivariable Plants | TJ210.2-211.495 Modeling and Control of Complex Physical Systems | TA329-348 Human-Computer Systems Interaction | QC174.7-175.36 Downward Causation and the Neurobiology of Free Will |
Control Configuration Selection of Linear Multivariable Plants: The RGA Approach -- Control Configuration of Linear Multivariable Plants: Advanced RGA Based Techniques -- Control Configuration Selection of Linear Multivariable Plants: SSV and Passivity Based Techniques -- Control Configuration Selection of Linear Multivariable Plants Based on the State-Space Models -- Control Configuration Selection of Nonlinear Multivariable Plants -- Control Configuration Selection of Linear Uncertain Multivariable Plants -- Appendix: Mathematical Models Used in Examples.
This book focuses on control configuration selection or the input-output pairing problem, which is defined as the procedure of selecting the appropriate input and output pair for the design of SISO (or block) controllers. An improper input-output pairing selection can be detrimental to closed loop stability and performance. The main objective in selecting an appropriate control configuration is to minimize the loop interactions. This will facilitate the single input single output independent design that is the basis of many industrial control systems. This book is the first monograph to deal in depth with the issue of control configuration selection. It is designed and written to serve the needs of a wide audience working in the area of decentralized control systems both in the academia and industry. The engineers and students interested in control configuration selection techniques, engineers already acquainted with the basic concepts and willing to be familiar with the more advanced strategies and postgraduate students who in addition to the aforementioned points want to get to the frontiers of research in the field may find this book useful.
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