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True digital control: statistical modelling and non–minimal state space design

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True digital control : statistical modelling and non–minimal state space design. / Taylor, C. James; Young, Peter; Chotai, Arunkumar.

Chichester : John Wiley & Sons, Ltd, 2013. 360 p.

Research output: Book/Report/ProceedingsBook

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@book{640ed89876f74261a95f24453c93d630,
title = "True digital control: statistical modelling and non–minimal state space design",
abstract = "Develops a true digital control design philosophy that encompasses data–based model identification, through to control algorithm design, robustness evaluation and implementation. With a heritage from both classical and modern control system synthesis, this book is supported by detailed practical examples based on the authors{\textquoteright} research into environmental, mechatronic and robotic systems. Treatment of both statistical modelling and control design under one cover is unusual and highlights the important connections between these disciplines.Starting from the ubiquitous proportional–integral controller, and with essential concepts such as pole assignment introduced using straightforward algebra and block diagrams, this book addresses the needs of those students, researchers and engineers, who would like to advance their knowledge of control theory and practice into the state space domain; and academics who are interested to learn more about non–minimal state variable feedback control systems. Such non–minimal state feedback is utilised as a unifying framework for generalised digital control system design. This approach provides a gentle learning curve, from which potentially difficult topics, such as optimal, stochastic and multivariable control, can be introduced and assimilated in an interesting and straightforward manner.",
keywords = "true digital control, non–minimal state space, state variable feedback, proportional–integral–plus, optimal control, modern control, multivariable control, system identification",
author = "Taylor, {C. James} and Peter Young and Arunkumar Chotai",
year = "2013",
month = aug,
language = "English",
isbn = "978-1-118-52121-2",
publisher = "John Wiley & Sons, Ltd",

}

RIS

TY - BOOK

T1 - True digital control

T2 - statistical modelling and non–minimal state space design

AU - Taylor, C. James

AU - Young, Peter

AU - Chotai, Arunkumar

PY - 2013/8

Y1 - 2013/8

N2 - Develops a true digital control design philosophy that encompasses data–based model identification, through to control algorithm design, robustness evaluation and implementation. With a heritage from both classical and modern control system synthesis, this book is supported by detailed practical examples based on the authors’ research into environmental, mechatronic and robotic systems. Treatment of both statistical modelling and control design under one cover is unusual and highlights the important connections between these disciplines.Starting from the ubiquitous proportional–integral controller, and with essential concepts such as pole assignment introduced using straightforward algebra and block diagrams, this book addresses the needs of those students, researchers and engineers, who would like to advance their knowledge of control theory and practice into the state space domain; and academics who are interested to learn more about non–minimal state variable feedback control systems. Such non–minimal state feedback is utilised as a unifying framework for generalised digital control system design. This approach provides a gentle learning curve, from which potentially difficult topics, such as optimal, stochastic and multivariable control, can be introduced and assimilated in an interesting and straightforward manner.

AB - Develops a true digital control design philosophy that encompasses data–based model identification, through to control algorithm design, robustness evaluation and implementation. With a heritage from both classical and modern control system synthesis, this book is supported by detailed practical examples based on the authors’ research into environmental, mechatronic and robotic systems. Treatment of both statistical modelling and control design under one cover is unusual and highlights the important connections between these disciplines.Starting from the ubiquitous proportional–integral controller, and with essential concepts such as pole assignment introduced using straightforward algebra and block diagrams, this book addresses the needs of those students, researchers and engineers, who would like to advance their knowledge of control theory and practice into the state space domain; and academics who are interested to learn more about non–minimal state variable feedback control systems. Such non–minimal state feedback is utilised as a unifying framework for generalised digital control system design. This approach provides a gentle learning curve, from which potentially difficult topics, such as optimal, stochastic and multivariable control, can be introduced and assimilated in an interesting and straightforward manner.

KW - true digital control

KW - non–minimal state space

KW - state variable feedback

KW - proportional–integral–plus

KW - optimal control

KW - modern control

KW - multivariable control

KW - system identification

M3 - Book

SN - 978-1-118-52121-2

BT - True digital control

PB - John Wiley & Sons, Ltd

CY - Chichester

ER -