000 04505nam a22006255i 4500
001 978-1-84628-041-2
003 DE-He213
005 20160614135126.0
007 cr nn 008mamaa
008 100301s2005 xxk| s |||| 0|eng d
020 _a9781846280412
_9978-1-84628-041-2
024 7 _a10.1007/b137409
_2doi
049 _aAlfaisal Main Library
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aBobál, Vladimír.
_eauthor.
245 1 0 _aDigital Self-tuning Controllers
_h[electronic resource] :
_bAlgorithms, Implementation and Applications /
_cby Vladimír Bobál, Josef Böhm, Jaromír Fessl, Jiří Macháček.
264 1 _aLondon :
_bSpringer London,
_c2005.
300 _aXVI, 318 p. 187 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvanced Textbooks in Control and Signal Processing,
_x1439-2232
505 0 _aAdaptive Control Systems -- Process Modelling and Identification for Use in Self-tuning Controllers -- Self-tuning PID Controllers -- Algebraic Methods for Self-tuning Controller Design -- Self-tuning Linear Quadratic Controllers -- Computer-aided Design for Self-tuning Controllers -- Application of Self-tuning Controllers.
520 _aAdaptive control theory has developed significantly over the past few years; self-tuning control represents one branch of adaptive control that has been successfully applied in practice. Controller design requires knowledge of the plant to be controlled which is not always readily accessible; self-tuning controllers gather such information during normal operation and adjust controller designs on-line as required. Digital Self-tuning Controllers presents you with a complete course in self-tuning control, beginning with a survey of adaptive control and the formulation of adaptive control problems. Modelling and identification are dealt with before passing on to algebraic design methods and particular PID and linear-quadratic forms of self-tuning control. Finally, laboratory verification and experimentation will show you how to ground your theoretical knowledge in real plant control. Features: • comprehensive coverage providing everything a student needs to know about self-tuning control from literature survey to the control of an experimental heat exchanger; • a strong emphasis on practical problem solving with control algorithms clearly laid out in easy-to-follow formulae or made directly available as Matlab® functions making the book particularly suitable as an aid to project work; • specially written MATLAB® toolboxes convenient for the presentation of typical control system and plant properties and ready for use in direct control of real or simulated plants available from springeronline.com; • worked examples and tutorial exercises to guide you through the learning process. Digital Self-tuning Controllers comprises an invaluable course with which graduate students and advanced undergraduates can learn how to overcome the significant problems of putting the powerful tools of adaptive control theory into practice. The text will also be of much interest to control engineers wishing to employ the ideas of adaptive control in their designs and plant.
650 0 _aEngineering.
650 0 _aChemical engineering.
650 0 _aSystem theory.
650 0 _aControl engineering.
650 0 _aIndustrial engineering.
650 0 _aProduction engineering.
650 0 _aElectrical engineering.
650 1 4 _aEngineering.
650 2 4 _aControl.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aElectrical Engineering.
650 2 4 _aSystems Theory, Control.
650 2 4 _aIndustrial Chemistry/Chemical Engineering.
650 2 4 _aIndustrial and Production Engineering.
655 7 _aElectronic books.
_2local
700 1 _aBöhm, Josef.
_eauthor.
700 1 _aFessl, Jaromír.
_eauthor.
700 1 _aMacháček, Jiří.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781852339807
830 0 _aAdvanced Textbooks in Control and Signal Processing,
_x1439-2232
856 4 0 _uhttp://ezproxy.alfaisal.edu/login?url=http://dx.doi.org/10.1007/b137409
912 _aZDB-2-ENG
942 _2lcc
_cEBOOKS
999 _c244243
_d244243