000 03777nam a22003855i 4500
001 281720
003 MX-SnUAN
005 20160429154118.0
007 cr nn 008mamaa
008 150903s2012 xxk| o |||| 0|eng d
020 _a9780857299772
_99780857299772
024 7 _a10.1007/9780857299772
_2doi
035 _avtls000334047
039 9 _a201509030804
_bVLOAD
_c201404300253
_dVLOAD
_y201402041138
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTJ212-225
100 1 _aLiu, Tao.
_eautor
_9307669
245 1 0 _aIndustrial Process Identification and Control Design :
_bStep-test and Relay-experiment-based Methods /
_cby Tao Liu, Furong Gao.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2012.
300 _axxvI, 472 páginas 164 ilustraciones, 124 ilustraciones en color.
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aAdvances in Industrial Control,
_x1430-9491
500 _aSpringer eBooks
505 0 _aPart I: Process Identification -- Introduction -- Step Response Identification of Stable Processes -- Step Response Identification of Integrating Processes -- Relay Feedback Identification of Stable Processes -- Relay Feedback Identification of Integrating Processes -- Relay Feedback Identification of Unstable Processes -- Part II: Control System Design -- Control of Single-input-single-output (SISO) Processes -- Two-degree-of-freedom (2DOF) Control of SISO Processes -- Cascade Control System -- Decoupling Control of Multiple-input-multiple-output (MIMO) Processes -- Multiloop/Decentralized Control Systems -- Batch Process Control -- Conclusions and Future Developments.
520 _a  Industrial Process Identification and Control Design is devoted to advanced identification and control methods for the operation of continuous-time processes both with and without time delay, in industrial and chemical engineering practice.   The simple and practical step- or relay-feedback test is employed when applying the proposed identification techniques, which are classified in terms of common industrial process type: open-loop stable; integrating; and unstable, respectively. Correspondingly, control system design and tuning models that follow are presented for single-input-single-output processes.   Furthermore, new two-degree-of-freedom control strategies and cascade control system design methods are explored with reference to independently-improving, set-point tracking and load disturbance rejection. Decoupling, multi-loop, and decentralized control techniques for the operation of multiple-input-multiple-output processes are also detailed. Perfect tracking of a desire output trajectory is realized using iterative learning control in uncertain industrial batch processes.   All the proposed methods are presented in an easy-to-follow style, illustrated by examples and practical applications. This book will be valuable for researchers in system identification and control theory, and will also be of interest to graduate control students from process, chemical, and electrical engineering backgrounds and to practising control engineers in the process industry.  
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aGao, Furong.
_eautor
_9307670
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780857299765
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-85729-977-2
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c281720
_d281720