Ab dem 31. Januar stellt buchhandel.de die Verkaufsfunktion ein!

Bitte sichern Sie alle notwendigen Daten, wie etwa Rechnungen oder Ihre Wunschliste in Ihrem Kundenprofil.
Weitere Informationen finden Sie hier: https://www.buchhandel.de/info/hilfe.
Suche ›

True Digital Control

Statistical Modelling and Non-Minimal State Space Design

Wiley, J,
E-Book ( EPUB mit Adobe DRM )
In Ihrem Land nicht verfügbar


True Digital Control: Statistical Modelling andNon-Minimal State Space Designdevelops a true digitalcontrol design philosophy that encompasses data-basedmodel identification, through to control algorithm design,robustness evaluation and implementation. With a heritage from bothclassical and modern control system synthesis, this book issupported by detailed practical examples based on theauthors' research into environmental, mechatronic and roboticsystems. Treatment of both statistical modelling and control designunder one cover is unusual and highlights the important connectionsbetween these disciplines.
Starting from the ubiquitous proportional-integralcontroller, and with essential concepts such as pole assignmentintroduced using straightforward algebra and block diagrams, thisbook addresses the needs of those students, researchers andengineers, who would like to advance their knowledge of controltheory and practice into the state space domain; and academics whoare interested to learn more about non-minimal state variablefeedback control systems. Such non-minimal state feedback isutilised as a unifying framework for generalised digital controlsystem design. This approach provides a gentle learning curve, fromwhich potentially difficult topics, such as optimal, stochastic andmultivariable control, can be introduced and assimilated in aninteresting and straightforward manner.
Key features:
* Covers both system identification and control systemdesign in a unified manner
* Includes practical design case studies and simulationexamples
* Considers recent research into time-variable andstate-dependent parameter modelling and control, essentialelements of adaptive and nonlinear control system design, and thedelta-operator (the discrete-time equivalent of thedifferential operator) systems
* Accompanied by a website hosting MATLAB examples
True Digital Control: Statistical Modelling andNon-Minimal State Space Design is a comprehensive andpractical guide for students and professionals who wish to furthertheir knowledge in the areas of modern control and systemidentification.


Titel: True Digital Control
Autoren/Herausgeber: C. James Taylor, Peter C. Young, Arun Chotai
Ausgabe: 1. Auflage

ISBN/EAN: 9781118535516

Seitenzahl: 360
Produktform: E-Book
Sprache: Englisch

James Taylor received his B.Sc. (Hons.) and Ph.D degreesfrom Lancaster University, UK, before joining the academic staff ofthe Engineering Department in 2000. His research focuses on controlsystem design and system identification, with applied work spanningrobotics, transport, energy, agriculture and the environment. Thishas led to over 100 publications in the open literature andwidespread impact across a variety of academic andindustry-based users. He has pioneered new advances innon-minimal state space design, and coordinates developmentof the well-known Captain Toolbox for Time Series Analysisand Forecasting. He is a Fellow of the Institution of Engineeringand Technology, and supervises students across a spectrum ofmechanical, electronic, nuclear and chemical engineeringdisciplines.
Peter Young is Emeritus Professor at LancasterUniversity, UK, and Adjunct Professor at the Australian NationalUniversity, Canberra. After an apprenticeship in the AerospaceIndustry and B.Tech., MSc. degrees from Loughborough University, heobtained his Ph.D degree from Cambridge University in 1970 andbecame University Lecturer in Engineering and a Fellow of ClareHall at Cambridge University. After seven years as ProfessorialFellow at the Australian National University, he then moved toLancaster University in 1981 as Professor and Head of theEnvironmental Science Department. He is well known for his work onoptimal identification, data-based mechanistic modelling andadaptive forecasting, with applications in areas ranging from theenvironment, through ecology, biology and engineering to businessand macro-economics.
Until his recent retirement, Arun Chotai was SeniorLecturer in the Lancaster Environment Centre at LancasterUniversity, UK. He holds a Ph.D in Systems and Control and a B.Sc.(Hons.) in Mathematics, both from the University of Bath, UK.Following his appointment to an academic position at Lancaster in1984, he taught and developed modules in environmental systems,courses that were then unique to the UK in providing an advanced,quantitative approach to the subject. For many years, he was alsojoint head (with present co-author Peter Young) of theSystems and Control Group, which he helped to build into asuccessful research unit that became known internationally for itsresearch in the areas of system identification, time-seriesanalysis and control system design.

buchhandel.de - Newsletter
Möchten Sie sich für den Newsletter anmelden?

Bitte geben Sie eine gültige E-Mail-Adresse ein.
Lieber nicht