Embedded multiple shooting methodology in a genetic algorithm framework for parameter estimation and state identification of complex systems-Reference-Cited by-同舟云学术

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Embedded multiple shooting methodology in a genetic algorithm framework for parameter estimation and state identification of complex systems

Published:2015-09 Issue: Volume:134 Page:605-618
ISSN:0009-2509
Container-title:Chemical Engineering Science
language:en
Short-container-title:Chemical Engineering Science

Author:

Sarode Ketan Dinkar,Ravi Kumar V.,Kulkarni B.D.

Funder

University Grants Commission (UGC)

Center of Excellence in Scientific Computing (CoESC)

Publisher

Elsevier BV

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Reference60 articles.

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2. Fitting ordinary differential equations to chaotic data;Baake;Phys. Rev. A,1992

3. Hybrid optimization method with general switching strategy for parameter estimation;Balsa-Canto;BMC Syst. Biol.,2008

4. Altering the conversion/selectivity behavior for a CSTR exhibiting chaotic dynamics;Bandyopadhyay;Ind. Eng. Chem. Res.,1993

5. Numerical methods for parameter estimation in nonlinear differential algebraic equations;Bock;GAMM-Mitteilungen,2007

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1. On the smoothness of nonlinear system identification;Automatica;2020-11

2. The Shooting Method for the Solution of One-Dimensional BVPs;Boundary Value Problems for Engineers;2019

3. A dynamic mathematical model of an ultra-supercritical coal fired once-through boiler-turbine unit;Applied Energy;2017-03

4. Inverse problem studies of biochemical systems with structure identification of S-systems by embedding training functions in a genetic algorithm;Mathematical Biosciences;2016-05

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