Robust Control Design with MATLAB®

Robustness is often of crucial importance in control system design. Real engineering systems are vulnerable to external disturbance and measurement noise and there are always discrepancies between mathematical models used for design and the actual system in practice. Robust Control Design with MATLA...

Full description

Bibliographic Details
Main Authors: Gu, Da-Wei, Petkov, Petko H. (Author), Konstantinov, Mihail M. (Author)
Format: eBook
Language:English
Published: London Springer London 2005, 2005
Edition:1st ed. 2005
Series:Advanced Textbooks in Control and Signal Processing
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 03723nmm a2200457 u 4500
001 EB000366962
003 EBX01000000000000000220014
005 00000000000000.0
007 cr|||||||||||||||||||||
008 130626 ||| eng
020 |a 9781846280917 
100 1 |a Gu, Da-Wei 
245 0 0 |a Robust Control Design with MATLAB®  |h Elektronische Ressource  |c by Da-Wei Gu, Petko H. Petkov, Mihail M Konstantinov 
250 |a 1st ed. 2005 
260 |a London  |b Springer London  |c 2005, 2005 
300 |a XIV, 389 p. 288 illus  |b online resource 
505 0 |a Basic Methods and Theory -- Modelling of Uncertain Systems -- Robust Design Specifications -- ??Design -- ??Loop-shaping Design Procedures -- ?-Analysis and Synthesis -- Lower-order Controllers -- Design Examples -- Robust Control of a Mass-Damper-Spring System -- A Triple Inverted Pendulum Control-system Design -- Robust Control of a Hard Disk Drive -- Robust Control of a Distillation Column -- Robust Control of a Rocket -- Robust Control of a Flexible-Link Manipulator 
653 |a Control, Robotics, Automation 
653 |a Industrial engineering 
653 |a Computer-Aided Engineering (CAD, CAE) and Design 
653 |a Electrical and Electronic Engineering 
653 |a Control and Systems Theory 
653 |a Electrical engineering 
653 |a Control theory 
653 |a Systems Theory, Control 
653 |a Industrial and Production Engineering 
653 |a System theory 
653 |a Computer-aided engineering 
653 |a Control engineering 
653 |a Robotics 
653 |a Automation 
653 |a Production engineering 
700 1 |a Petkov, Petko H.  |e [author] 
700 1 |a Konstantinov, Mihail M.  |e [author] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Advanced Textbooks in Control and Signal Processing 
028 5 0 |a 10.1007/b135806 
856 4 0 |u https://doi.org/10.1007/b135806?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 629.8 
520 |a Robustness is often of crucial importance in control system design. Real engineering systems are vulnerable to external disturbance and measurement noise and there are always discrepancies between mathematical models used for design and the actual system in practice. Robust Control Design with MATLAB® helps you learn how to use well-developed advanced robust control design methods in practical cases. To this end, several realistic control design examples ranging from teaching-laboratory experiments, such as a mass–damper–spring assembly, to complex systems like a flexible-link manipulator are given detailed presentation. All the design exercises are conducted using MATLAB® Robust Control Toolbox, Control System Toolbox and Simulink®. By sharing their experiences in industrial cases with minimum recourse to complicated theories and formulae, the authors convey essential ideas and useful insights into robust industrial control systems design using major H-infinity optimization and related methods allowing you quickly to move on with your own challenges. Features: • Hands-on, tutorial presentation giving you the opportunity to repeat the designs presented and easily to modify them for your own programs. • An abundance of examples illustrating the most important steps in robust design. Robust Control Design with MATLAB® is for graduate students and practising engineers who want to learn how to deal with robust control design problems without spending a lot of time in researching complex theoretical developments. The demonstrations are current for MATLAB® version 7.01, Robust Control Toolbox version 3.0, Control System Toolbox version 6.1 and Simulink® version 6.1.