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Identification and Classical Control of Linear Multivariable Systems

Identification and Classical Control of Linear Multivariable Systems

V. Dhanya Ram , National Institute of Technology, Calicut, India
M. Chidambaram , Indian Institute of Technology, Madras
February 2023
Available
Hardback
9781316517215
$105.00
USD
Hardback
USD
eBook

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.

  • 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
  • This book will be useful to any engineering student, researcher or practitioner who works with interactive, multivariable control systems

Product details

August 2022
Adobe eBook Reader
9781009276764
0 pages
This ISBN is for an eBook version which is distributed on our behalf by a third party.

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.