Distributed control and filtering for industrial systems

Distributed Control and Filtering for Industrial Systems provides an introduction to the control and filtering algorithms devised for distributed environments, with a particular emphasis on industrial applications.

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Bibliographic Details
Main Author Mahmoud, Magdi S.
Corporate Author Institution of Engineering and Technology
Format Electronic eBook
LanguageEnglish
Published London : Institution of Engineering and Technology, 2013.
SeriesIET control engineering series ; 88.
Subjects
Online AccessFull text
ISBN9781849196086
1849196087
9781621985617
162198561X
1849196079
9781849196079
1299104398
9781299104396
Physical Description1 online resource (420 pages)

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100 1 |a Mahmoud, Magdi S. 
245 1 0 |a Distributed control and filtering for industrial systems /  |c Magdi S. Mahmoud. 
260 |a London :  |b Institution of Engineering and Technology,  |c 2013. 
300 |a 1 online resource (420 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a IET control engineering series ;  |v 88 
504 |a Includes bibliographical references and index. 
505 0 |a Preface; Acknowledgments; Notations and symbols; List of acronyms; 1. Introduction; 1.1 Introduction; 1.2 Control architectures; 1.3 Related design problems and issues; 1.4 Information flow; 1.5 Performance evaluation; 1.6 Advantages of distributed control systems; 1.7 Outline of the book; 1.8 Notes; 2. Distributed model predictive control; 2.1 Overview; 2.2 Dissipativity-based approach; 2.3 Constrained model predictive control; 2.4 A cooperative game approach; 2.5 Feasible cooperation model predictive control; 2.6 Application to power plant control 
505 8 |a 2.7 Application to quadruple-tank process2.8 Application to automatic generation control; 2.9 Notes; 3. Distributed linear quadratic control; 3.1 Introduction; 3.2 Identical decoupled dynamical systems; 3.3 Distributed semistable LQR control; 3.4 Distributed control of nonnegative systems; 3.5 Distributed control of power load frequency; 3.6 Notes; 4. Distributed observer-based control; 4.1 Observer-based control; 4.2 Approximate distributed feedback control; 4.3 Application to chemical reactors; 4.4 Notes; 5. Distributed consensus control; 5.1 Consensus of multiagent systems 
505 8 |a 5.2 Consensus control for time-delay systems5.3 Robust consensus of multiagent systems; 5.4 Notes; 6. Distributed estimation; 6.1 Introduction; 6.2 Problem formulation; 6.3 Convergence of the centralized estimation error; 6.4 Minimum variance estimation design; 6.5 Asynchronous multirate multismart sensors; 6.6 Distributed nonlinear estimation; 6.7 Notes; 7. Distributed Kalman filtering; 7.1 Introduction; 7.2 Self-tuning Kalman filtering; 7.3 Kalman filtering with intermittent communications; 7.4 Notes; 8. Experimental setups; 8.1 Introduction; 8.2 Overview of related work 
505 8 |a 8.3 Simulation environments8.4 Simulation examples; 8.5 Experimental setup; 8.6 Multiagent modeling approach; 8.7 Networked control system evaluation; 8.8 CAN and Switched Ethernet networks; 8.9 Design consideration; 8.10 Networked and distributed control architectures; 8.11 Notes; 9. Appendix; 9.1 Notations; 9.2 Elements of graph theory; 9.3 Minimum mean square estimate; 9.4 Stability notions; 9.5 Basic inequalities; 9.6 Linear matrix inequalities; 9.7 Some formulas on matrix inverses; References; Index 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a Distributed Control and Filtering for Industrial Systems provides an introduction to the control and filtering algorithms devised for distributed environments, with a particular emphasis on industrial applications. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Automatic control. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
710 2 |a Institution of Engineering and Technology. 
776 0 8 |i Print version:  |a Mahmoud, Magdi S.  |t Distributed control and filtering for industrial systems.  |d Stevenage : Institution of Engineering and Technology, 2013  |z 9781849196079  |w (OCoLC)832570835 
830 0 |a IET control engineering series ;  |v 88. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpDCFIS002/distributed-control-and?kpromoter=marc  |y Full text