# A Generalized Framework of Linear Multivariable Control

A Generalized Framework of Linear Multivariable Control proposes a number of generalized models by using the generalized inverse of matrix, while the usual linear multivariable control theory relies on some regular models. The book supports that in H-infinity control, the linear fractional transformation formulation is relying on the inverse of the block matrix. If the block matrix is not regular, the H-infinity control does not apply any more in the normal framework. Therefore, it is very important to relax those restrictions to generalize the classical notions and models to include some non-regular cases. This book is ideal for scholars, academics, professional engineer and students who are interested in control system theory. Presents a comprehensive set of numerical procedures, algorithms, and examples on how to deal with irregular models Provides a summary on generalized framework of linear multivariable control that focuses on generalizations of models and notions Introduces a number of generalized models by using the generalized inverse of matrix

Produk Detail:

• Author : Liansheng Tan
• Publisher : Butterworth-Heinemann
• Pages : 322 pages
• ISBN : 0081019475
• Rating : 4/5 from 21 reviews

## A Generalized Framework of Linear Multivariable Control

• Author : Liansheng Tan
• Publisher : Butterworth-Heinemann
• Release : 04 February 2017

A Generalized Framework of Linear Multivariable Control proposes a number of generalized models by using the generalized inverse of matrix, while the usual linear multivariable control theory relies on some regular models. The book supports that in H-infinity control, the linear fractional transformation formulation is relying on the inverse of the block matrix. If the block matrix is not regular, the H-infinity control does not apply any more in the normal framework. Therefore, it is very important to relax those

## Trackability and Tracking of General Linear Systems

• Author : Lyubomir T. Gruyitch
• Publisher : CRC Press
• Release : 31 October 2018

Trackability and Tracking of General Linear Systems deals with five classes of the systems, three of which are new, begins with the definition of time together with a brief description of its crucial properties and with the principles of the physical uniqueness and continuity of physical variables. They are essential for the natural tracking control synthesis. The book presents further new results on the new compact, simple and elegant calculus that enabled the generalization of the transfer function matrix concept

## Advanced Control Systems - Theory and Applications

• Author : Yuriy P. Kondratenko,Vsevolod M. Kuntsevich,Arkadii A. Chikrii,Vyacheslav F. Gubarev
• Publisher : Stylus Publishing, LLC
• Release : 08 July 2021

Advanced Control Systems: Theory and Applications provides an overview of advanced research lines in control systems as well as in design, development and implementation methodologies for perspective control systems and their components in different areas of industrial and special applications. It consists of extended versions of the selected papers presented at the XXV International Conference on Automatic Control “Automatics 2018” (September 18-19, 2018, Lviv, Ukraine) which is the main Ukrainian Control Conference organized by Ukrainian Association on Automatic Control (National member organization

## Design of Linear Multivariable Feedback Control Systems

• Author : Joseph J. Bongiorno Jr.,Kiheon Park
• Publisher : Springer Nature
• Release : 09 July 2020

This book contains a derivation of the subset of stabilizing controllers for analog and digital linear time-invariant multivariable feedback control systems that insure stable system errors and stable controller outputs for persistent deterministic reference inputs that are trackable and for persistent deterministic disturbance inputs that are rejectable. For this subset of stabilizing controllers, the Wiener-Hopf methodology is then employed to obtain the optimal controller for which a quadratic performance measure is minimized. This is done for the completely general standard

## Design Methods of Control Systems

• Author : D. Franke,F. Kraus
• Publisher : Elsevier
• Release : 23 May 2014

These Proceedings contain a selection of papers presented at the first IFAC Symposium on Design Methods of Control Systems. The volume contains three plenary papers and 97 technical papers, the latter classified under 15 section headings, as listed in the contents.

## Process Control

• Author : Jean-Pierre Corriou
• Publisher : Springer
• Release : 17 August 2017

This reference book can be read at different levels, making it a powerful source of information. It presents most of the aspects of control that can help anyone to have a synthetic view of control theory and possible applications, especially concerning process engineering.

## Methods of Model Based Process Control

• Author : R. Berber
• Publisher : Springer Science & Business Media
• Release : 06 December 2012

Model based control has emerged as an important way to improve plant efficiency in the process industries, while meeting processing and operating policy constraints. The reader of Methods of Model Based Process Control will find state of the art reports on model based control technology presented by the world's leading scientists and experts from industry. All the important issues that a model based control system has to address are covered in depth, ranging from dynamic simulation and control-relevant identification to

## Linear Multivariable Control Systems

• Author : Shankar P. Bhattacharyya,Lee H. Keel
• Publisher : Cambridge University Press
• Release : 31 December 2021

A graduate text providing broad coverage of linear multivariable control systems, including several new results and recent approaches.

## Linear Robust Control

• Author : Michael Green,David J. N. Limebeer
• Publisher : Courier Corporation
• Release : 19 September 2012

"Recent years have witnessed enormous strides in the field of robust control of dynamical systems -- unfortunately, many of these developments have only been accessible to a small group of experts. In this text for students and control engineers, the authors examines all of these advances, providing an in-depth and exhaustive examination of modern optimal and robust control. "--

## Process Control

• Author : Jie Bao,Peter L. Lee
• Publisher : Springer Science & Business Media
• Release : 14 June 2007

Passivity and associated stability conditions form one of the cornerstones in control theory and have begun to be applied in process control. In this book, passivity-based developments in all areas of control theory are addressed systematically for the first time. The emphasis is placed on real results that add insight. Case studies illustrate applications in all the main chapters. MATLAB® routines and a library of functions that implement the methods developed in the book can be downloaded from springer.com.

## Control Configuration Selection for Multivariable Plants

• Author : A. Khaki-Sedigh,B. Moaveni
• Publisher : Springer
• Release : 29 September 2009

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

## Predictive Control

• Author : Yugeng Xi,Dewei Li
• Publisher : John Wiley & Sons
• Release : 28 June 2019

This book is a comprehensive introduction to model predictive control (MPC), including its basic principles and algorithms, system analysis and design methods, strategy developments and practical applications. The main contents of the book include an overview of the development trajectory and basic principles of MPC, typical MPC algorithms, quantitative analysis of classical MPC systems, design and tuning methods for MPC parameters, constrained multivariable MPC algorithms and online optimization decomposition methods. Readers will then progress to more advanced topics such as