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010 a| 2019003713;

020 a| 9781119119548 (hardback);

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040 a| DLCb| engc| DLCd| WaSeSS;

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049 a| EREEa| NEHH;

050 00 a| TJ217.6b| .X53 2019;

082 00 a| 629.82| 23;

100 1 a| Xi, Yugeng,d| 1946-?| UNAUTHORIZED;

245 10 a| Predictive controlh| [electronic resource] :b| fundamentals and developments /c| Yugeng Xi, Shanghai Jiao Tong University, Shanghai, China, Dewei Li, Shanghai Jiao Tong University, Shanghai, China.;

250 a| First edition.;

260 a| Hoboken, NJ :b| John Wiley & Sons, Inc.,c| [2019];

263 a| 1907;

300 a| pages cm;

504 a| Includes bibliographical references and index.;

506 a| Available only to authorized users.;

520 a| "Systematically introduces fundamental concepts, basic algorithms, and applications of MPC -Includes a comprehensive overview of MPC development, emphasizing recent advances and modern approaches - Features numerous MPC models and structures, based on rigorous research -Based on the best-selling Chinese edition, which has become a cornerstone in the Chinese market Modeling Predictive Control (MPC) is an advanced control technology that can effectively handle optimization control under constraints. Since MPC appeared in the industrial process control field in the 1970's, the demand for constrained optimization control, in particular MPC, in various application fields has been increasing continuously. The MPC application fields extend from traditional oil refinery, petrochemical, and chemical industries, to almost all fields such as power systems, manufacturing, aerospace, electromechanics, urban transportation, agricultural greenhouse, and medicine etc. MPC has the ability to anticipate future events and can take control actions accordingly. PID and LQR controllers do not have this predictive ability. MPC is nearly universally implemented as a digital control, although there is research into achieving faster response times with specially designed analog circuitry"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Predictive control.=| ^A870101;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Li, Deweic| (Computer scientist)?| UNAUTHORIZED;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=5806449;

949 a| CLICK ON WEB ADDRESSw| ASISh| JOYNER188;

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949 a| CLICK ON WEB ADDRESSw| ASISh| JMUSIC60;

596 a| 1 3 4;

998 a| 5869383;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5869383-1001l| JNETm| JOYNERr| Ys| Yt| JNESSBKu| 7/18/2022x| EBOOKz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5869383-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 7/18/2022x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5869383-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 7/18/2022x| EBOOKz| JERESOURCE;

Predictive control fundamentals and developments / Yugeng Xi, Shanghai Jiao Tong University, Shanghai, China, Dewei Li, Shanghai Jiao Tong University, Shanghai, China.

Author/creator	Xi, Yugeng, 1946-
Other author	Li, Dewei (Computer scientist)
Format	Electronic
Edition	First edition.
Publication Info	Hoboken, NJ : John Wiley & Sons, Inc., [2019]
Description	pages cm
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Predictive control.

Abstract	"Systematically introduces fundamental concepts, basic algorithms, and applications of MPC -Includes a comprehensive overview of MPC development, emphasizing recent advances and modern approaches - Features numerous MPC models and structures, based on rigorous research -Based on the best-selling Chinese edition, which has become a cornerstone in the Chinese market Modeling Predictive Control (MPC) is an advanced control technology that can effectively handle optimization control under constraints. Since MPC appeared in the industrial process control field in the 1970's, the demand for constrained optimization control, in particular MPC, in various application fields has been increasing continuously. The MPC application fields extend from traditional oil refinery, petrochemical, and chemical industries, to almost all fields such as power systems, manufacturing, aerospace, electromechanics, urban transportation, agricultural greenhouse, and medicine etc. MPC has the ability to anticipate future events and can take control actions accordingly. PID and LQR controllers do not have this predictive ability. MPC is nearly universally implemented as a digital control, although there is research into achieving faster response times with specially designed analog circuitry"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2019003713
ISBN	9781119119548 (hardback)

Predictive control fundamentals and developments / Yugeng Xi, Shanghai Jiao Tong University, Shanghai, China, Dewei Li, Shanghai Jiao Tong University, Shanghai, China.

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