000 03111nam a22004335i 4500
001 978-1-4471-2879-3
003 DE-He213
005 20140220083236.0
007 cr nn 008mamaa
008 120412s2012 xxk| s |||| 0|eng d
020 _a9781447128793
_9978-1-4471-2879-3
024 7 _a10.1007/978-1-4471-2879-3
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aMahmoud, Magdi S.
_eauthor.
245 1 0 _aApplied Control Systems Design
_h[electronic resource] /
_cby Magdi S. Mahmoud, Yuanqing Xia.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2012.
300 _aXXI, 560p. 363 illus., 216 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aSome Industrial Systems -- System Identification Models -- Simulation Results -- Nominal Control Designs -- Robust Control Design -- Resilient Control Design.
520 _aApplied Control System Design examines several methods for building up systems models based on real experimental data from typical industrial processes and incorporating system identification techniques. The text takes a comparative approach to the models derived in this way judging their suitability for use in different systems and under different operational circumstances. A broad spectrum of control methods including various forms of filtering, feedback and feedforward control is applied to the models and the guidelines derived from the closed-loop responses are then composed into a concrete self-tested recipe to serve as a check-list for industrial engineers or control designers. System identification and control design are given equal weight in model derivation and testing to reflect their equality of importance in the proper design and optimization of high-performance control systems. Readers’ assimilation of the material discussed is assisted by the provision of problems and examples. Most of these exercises use MATLAB® to make computation and visualization more straightforward. Applied Control System Design will be of interest to academic researchers for its comparison of different systems models and their response to different control methods and will assist graduate students in learning the practical necessities of advanced control system design. The consistent reference to real systems coupled with self-learning tools will assist control practitioners who wish to keep up to date with the latest control design ideas.
650 0 _aEngineering.
650 0 _aIndustrial engineering.
650 1 4 _aEngineering.
650 2 4 _aControl.
650 2 4 _aIndustrial and Production Engineering.
700 1 _aXia, Yuanqing.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447128786
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-2879-3
912 _aZDB-2-ENG
999 _c100721
_d100721