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State feedback control and estimation with MATLAB/Simulink tutorials /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	State feedback control and estimation with MATLAB/Simulink tutorials /Liuping Wang and Robin Ping Guan.
Author:	Wang, Liuping,
other author:	Guan, Robin Ping,
Description:	1 online resource (xxv, 416 pages) :illustrations (some color)
Subject:	Feedback control systems.
Online resource:	https://ieeexplore.ieee.org/book/9928041
Online resource:	http://dx.doi.org/10.1002/9781119694625
Online resource:	https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3401981
ISBN:	9781119694625

State feedback control and estimation with MATLAB/Simulink tutorials /
Wang, Liuping,

State feedback control and estimation with MATLAB/Simulink tutorials /Liuping Wang and Robin Ping Guan. - 1 online resource (xxv, 416 pages) :illustrations (some color)

Includes bibliographical references and index.

STATE FEEDBACK CONTROL AND KALMAN FILTERING WITH MATLAB/SIMULINK TUTORIALS Discover the control engineering skills for state space control system design, simulation, and implementation State space control system design is one of the core courses covered in engineering programs around the world. Applications of control engineering include things like autonomous vehicles, renewable energy, unmanned aerial vehicles, electrical machine control, and robotics, and as a result the field may be considered cutting-edge. The majority of textbooks on the subject, however, lack the key link between the theory and the applications of design methodology. State Feedback Control and Kalman Filtering with MATLAB/Simulink Tutorials provides a unique perspective by linking state space control systems to engineering applications. The book comprehensively delivers introductory topics in state space control systems through to advanced topics like sensor fusion and repetitive control systems. More, it explores beyond traditional approaches in state space control by having a heavy focus on important issues associated with control systems like disturbance rejection, reference tracking, control signal constraint, sensor fusion and more. The text sequentially presents continuous-time and discrete-time state space control systems, Kalman filter and its applications in sensor fusion. State Feedback Control and Kalman Filtering with MATLAB/Simulink Tutorials readers will also find: MATLAB and Simulink tutorials in a step-by-step manner that enable the reader to master the control engineering skills for state space control system design and Kalman filter, simulation, and implementation An accompanying website that includes MATLAB code High-end illustrations and tables throughout the text to illustrate important points Written by experts in the field of process control and state space control systems State Feedback Control and Kalman Filtering with MATLAB/Simulink Tutorials is an ideal resource for students from advanced undergraduate students to postgraduates, as well as industrial researchers and engineers in electrical, mechanical, chemical, and aerospace engineering.

ISBN: 9781119694625

Standard No.: 10.1002/9781119694625doi

Source: 9928041IEEESubjects--Uniform Titles:

MATLAB.
Subjects--Topical Terms:

182018
Feedback control systems.

LC Class. No.: TJ216 / .W36 2023

Dewey Class. No.: 629.8/3

State feedback control and estimation with MATLAB/Simulink tutorials /
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082 0 4 $a 629.8/3 $2 23/eng/20221018 $1 https://id.oclc.org/worldcat/ddc/E3X3qkwy396Gbg36FX8vyrRKGy
100 1 $a Wang, Liuping, $e author. $3 990716
245 1 0 $a State feedback control and estimation with MATLAB/Simulink tutorials / $c Liuping Wang and Robin Ping Guan.
264 1 $a Chichester, West Sussex : $b John Wiley & Sons Ltd, $c 2023.
264 4 $c ©2023
300 $a 1 online resource (xxv, 416 pages) : $b illustrations (some color)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
504 $a Includes bibliographical references and index.
520 # $a STATE FEEDBACK CONTROL AND KALMAN FILTERING WITH MATLAB/SIMULINK TUTORIALS Discover the control engineering skills for state space control system design, simulation, and implementation State space control system design is one of the core courses covered in engineering programs around the world. Applications of control engineering include things like autonomous vehicles, renewable energy, unmanned aerial vehicles, electrical machine control, and robotics, and as a result the field may be considered cutting-edge. The majority of textbooks on the subject, however, lack the key link between the theory and the applications of design methodology. State Feedback Control and Kalman Filtering with MATLAB/Simulink Tutorials provides a unique perspective by linking state space control systems to engineering applications. The book comprehensively delivers introductory topics in state space control systems through to advanced topics like sensor fusion and repetitive control systems. More, it explores beyond traditional approaches in state space control by having a heavy focus on important issues associated with control systems like disturbance rejection, reference tracking, control signal constraint, sensor fusion and more. The text sequentially presents continuous-time and discrete-time state space control systems, Kalman filter and its applications in sensor fusion. State Feedback Control and Kalman Filtering with MATLAB/Simulink Tutorials readers will also find: MATLAB and Simulink tutorials in a step-by-step manner that enable the reader to master the control engineering skills for state space control system design and Kalman filter, simulation, and implementation An accompanying website that includes MATLAB code High-end illustrations and tables throughout the text to illustrate important points Written by experts in the field of process control and state space control systems State Feedback Control and Kalman Filtering with MATLAB/Simulink Tutorials is an ideal resource for students from advanced undergraduate students to postgraduates, as well as industrial researchers and engineers in electrical, mechanical, chemical, and aerospace engineering.
588 $a Description based on online resource; title from digital title page (viewed on October 18, 2022).
630 0 0 $a MATLAB. $3 181993
630 0 7 $a MATLAB $v Textbooks. $3 436925
650 # 0 $a Feedback control systems. $3 182018
650 # 0 $a Predictive control. $3 182316
650 # 6 $a Systèmes à rèaction. $3 990726
650 # 6 $a Commande prèdictive. $3 990727
650 # 7 $a Feedback control systems $v Congresses. $3 447012
650 # 7 $a Predictive control $v Congresses. $3 452794
700 1 # $a Guan, Robin Ping, $e author. $3 990717
776 0 8 $i Print version: $z 1119694639 $z 9781119694632 $w (OCoLC)1130376241
856 4 0 $3 IEEE Xplore $u https://ieeexplore.ieee.org/book/9928041
856 4 0 $3 John Wiley $u http://dx.doi.org/10.1002/9781119694625
856 4 0 $3 EBSCOhost $u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3401981
938 $a YBP Library Services $b YANK $n 18153797
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994 $a C0 $b TWNUK

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https://ieeexplore.ieee.org/book/9928041
http://dx.doi.org/10.1002/9781119694625
https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3401981

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