Identification Classical Control Linear Multivariable by Dhanya Ram (21 results)

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Condition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Soft cover. Condition: New. ISBN:9781316517215,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.

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Hardcover. Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-12 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

Soft cover. Condition: New. ISBN:9781316517215.

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Hardcover. Condition: new. Hardcover. Most systems involved in a chemical process plant are interactive multivariable systems, to control which, the transfer function matrix model is required. This lucid book considers the identification and control of such systems. It discusses open loop and closed loop identification methods, as well as the design of multivariable controllers based on steady state gain matrix. Simple methods for designing controllers based on transfer function matrix model have been reviewed. The design of controllers for non-square systems, and closed loop identification of multivariable unstable systems by the optimization method are also covered. Several simulation examples and exercise problems at the end of each chapter further help the reader consolidate the knowledge gained. This book will be useful to any engineering student, researcher or practitioner who works with interactive, multivariable control systems. Most systems involved in a chemical process plant are interactive multivariable systems, to control which, the transfer function matrix model is required. This book considers the identification and control of such systems. It will be useful to students, researchers or practitioners who work with interactive, multivariable control systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardcover. Condition: Brand New. 425 pages. 9.76x7.64x0.98 inches. In Stock.

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Hardcover. Condition: new. Hardcover. Most systems involved in a chemical process plant are interactive multivariable systems, to control which, the transfer function matrix model is required. This lucid book considers the identification and control of such systems. It discusses open loop and closed loop identification methods, as well as the design of multivariable controllers based on steady state gain matrix. Simple methods for designing controllers based on transfer function matrix model have been reviewed. The design of controllers for non-square systems, and closed loop identification of multivariable unstable systems by the optimization method are also covered. Several simulation examples and exercise problems at the end of each chapter further help the reader consolidate the knowledge gained. This book will be useful to any engineering student, researcher or practitioner who works with interactive, multivariable control systems. Most systems involved in a chemical process plant are interactive multivariable systems, to control which, the transfer function matrix model is required. This book considers the identification and control of such systems. It will be useful to students, researchers or practitioners who work with interactive, multivariable control systems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condition: Brand New. 425 pages. 9.76x7.64x0.98 inches. In Stock.

Hardcover. Condition: new. Hardcover. Most systems involved in a chemical process plant are interactive multivariable systems, to control which, the transfer function matrix model is required. This lucid book considers the identification and control of such systems. It discusses open loop and closed loop identification methods, as well as the design of multivariable controllers based on steady state gain matrix. Simple methods for designing controllers based on transfer function matrix model have been reviewed. The design of controllers for non-square systems, and closed loop identification of multivariable unstable systems by the optimization method are also covered. Several simulation examples and exercise problems at the end of each chapter further help the reader consolidate the knowledge gained. This book will be useful to any engineering student, researcher or practitioner who works with interactive, multivariable control systems. Most systems involved in a chemical process plant are interactive multivariable systems, to control which, the transfer function matrix model is required. This book considers the identification and control of such systems. It will be useful to students, researchers or practitioners who work with interactive, multivariable control systems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Condition: Neu. Neuware - 'In this book, the methods of identifying such models are given for linear multivariable systems both by open-loop as well as closed-loop methods. The closed-loop reaction curve method and optimization method fall under closed-loop identification methods. In open-loop identification methods, methods of identifying transfer function model for stable First Order Plus Time Delay model and critically under-damped second-order system are presented. An extension of the method for identifying the transfer function matrix for an unstable system is also discussed in this book. The main contribution is in the selection of the initial guess values for the model parameters for the optimization method. The design of multivariable PI controllers based on the Steady-State Gain Matrix is described for stable and unstable systems. The method of identifying SSGM for multivariable is given for stable and unstable systems. The method is also extended for stable and unstable non-square systems. The genetic algorithm's method of designing multivariable PI controllers for non-square systems is also explained'--.