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Nonlinear control via automatic diff...

Magana Jimenez, Quetzalcoatl.

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Nonlinear control via automatic differentiation.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Nonlinear control via automatic differentiation./
Author:	Magana Jimenez, Quetzalcoatl.
Description:	79 p.
Notes:	Advisers: Coleman C. Brosilow; Kenneth A. Loparo.
Contained By:	Dissertation Abstracts International63-05B.
Subject:	Engineering, Chemical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3052282
ISBN:	0493666672

Nonlinear control via automatic differentiation.
Magana Jimenez, Quetzalcoatl.

Nonlinear control via automatic differentiation. - 79 p.

Advisers: Coleman C. Brosilow; Kenneth A. Loparo.

Thesis (Ph.D.)--Case Western Reserve University, 2002.

Chemical processes present special control problems and offer special opportunities due to their inherent nonlinearity. The use of a linear controller often limits the range of operation to restricted feed-stocks (e.g. fluid catalytic cracking) and limits the speed of recovery from process disturbances. Nonlinear controllers that invert the process model require the computation of Lie derivatives, defined as the inner product of a real valued function and a vector field. These derivatives can be computed analytically and symbolically only for relatively simple nonlinear systems. This work simplifies the design and software maintenance of nonlinear controllers for complex highly nonlinear systems. The ADIFOR2.0 code (Automatic Differentiation in Fortran) appends derivative code to computer codes for function evaluations, handles branches, loops, subroutines, and computes numerical values of derivatives within machine precision. Our experience show that for complex nonlinear system, ADIFOR2.0 can produce efficient and portable computer code for the Lie derivatives and Jacobians required to calculate the control law and evaluate the local stability of the closed-loop control system. Furthermore an efficient and user friendly MATLAB5.3-ADIFOR2.0-FORTRAN<super>compaq</super>6.0 CONTROL (MAFC) software package was developed to calculate the relative order, compute, and simulate the control law and analyze the local stability of the closed-loop system for invertible complex highly nonlinear processes using Symbolic and Automatic Differentiation.

ISBN: 0493666672Subjects--Topical Terms:

1018531
Engineering, Chemical.

Nonlinear control via automatic differentiation.
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005 20110505
008 110505s2002 eng d
020 $a 0493666672
035 $a (UnM)AAI3052282
035 $a AAI3052282
040 $a UnM $c UnM
100 1 $a Magana Jimenez, Quetzalcoatl. $3 1256804
245 1 0 $a Nonlinear control via automatic differentiation.
300 $a 79 p.
500 $a Advisers: Coleman C. Brosilow; Kenneth A. Loparo.
500 $a Source: Dissertation Abstracts International, Volume: 63-05, Section: B, page: 2485.
502 $a Thesis (Ph.D.)--Case Western Reserve University, 2002.
520 $a Chemical processes present special control problems and offer special opportunities due to their inherent nonlinearity. The use of a linear controller often limits the range of operation to restricted feed-stocks (e.g. fluid catalytic cracking) and limits the speed of recovery from process disturbances. Nonlinear controllers that invert the process model require the computation of Lie derivatives, defined as the inner product of a real valued function and a vector field. These derivatives can be computed analytically and symbolically only for relatively simple nonlinear systems. This work simplifies the design and software maintenance of nonlinear controllers for complex highly nonlinear systems. The ADIFOR2.0 code (Automatic Differentiation in Fortran) appends derivative code to computer codes for function evaluations, handles branches, loops, subroutines, and computes numerical values of derivatives within machine precision. Our experience show that for complex nonlinear system, ADIFOR2.0 can produce efficient and portable computer code for the Lie derivatives and Jacobians required to calculate the control law and evaluate the local stability of the closed-loop control system. Furthermore an efficient and user friendly MATLAB5.3-ADIFOR2.0-FORTRAN<super>compaq</super>6.0 CONTROL (MAFC) software package was developed to calculate the relative order, compute, and simulate the control law and analyze the local stability of the closed-loop system for invertible complex highly nonlinear processes using Symbolic and Automatic Differentiation.
590 $a School code: 0042.
650 4 $a Engineering, Chemical. $3 1018531
650 4 $a Engineering, System Science. $3 1018128
690 $a 0542
690 $a 0790
710 2 0 $a Case Western Reserve University. $3 1017714
773 0 $t Dissertation Abstracts International $g 63-05B.
790 $a 0042
790 1 0 $a Brosilow, Coleman C., $e advisor
790 1 0 $a Loparo, Kenneth A., $e advisor
791 $a Ph.D.
792 $a 2002
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3052282