Seshu Kumar Damarla, Madhusree Kundu
Fractional Order Processes
Simulation, Identification, and Control
Seshu Kumar Damarla, Madhusree Kundu
Fractional Order Processes
Simulation, Identification, and Control
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The book focusses on applications of triangular orthogonal function in fractional calculus with numerical methods for solving fractional order integral equations, integro-differential equations, and fractional order algebraic equations. Devised numerical methods are used in solving problems in different areas of engineering and sciences.
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The book focusses on applications of triangular orthogonal function in fractional calculus with numerical methods for solving fractional order integral equations, integro-differential equations, and fractional order algebraic equations. Devised numerical methods are used in solving problems in different areas of engineering and sciences.
Produktdetails
- Produktdetails
- Verlag: CRC Press
- Seitenzahl: 340
- Erscheinungstermin: 30. Juni 2020
- Englisch
- Abmessung: 234mm x 156mm x 19mm
- Gewicht: 513g
- ISBN-13: 9780367571139
- ISBN-10: 0367571137
- Artikelnr.: 69892040
- Verlag: CRC Press
- Seitenzahl: 340
- Erscheinungstermin: 30. Juni 2020
- Englisch
- Abmessung: 234mm x 156mm x 19mm
- Gewicht: 513g
- ISBN-13: 9780367571139
- ISBN-10: 0367571137
- Artikelnr.: 69892040
Seshu Kumar Damarla was born in the year 1985 in Chirala, Prakasam, Andhra Pradesh, India. He did his B.Tech (Chemical Engineering) from Bapatla Engineering College, Bapatla, Andhra Pradesh, India (2008), and M.Tech (Chemical Engineering) from NIT Rourkela, Odisha, India (2011). Mr. Damarla submitted his Ph.D dissertation (Title of the dissertation is Developing Numerical Methods for Simulation, Identification and Control of Fractional Order Process) to NIT Rourkela, Odisha, India (2017). Mr. Damarla served as an Assistant Professor for a short duration (from 5th August 2011 to 31st December 2011) in Chemical Engineering in Maulana Azad National Institute of Technology Bhopal, Madhya Pradesh, India, and has been working as an Assistant Professor in Chemical Engineering in C.V. Raman College of Engineering, Bhubaneswar, Odisha, India. Mr. Damarla has published a couple of research articles in the internationally refereed journals to his credit and also published in the proceedings of national and international conferences. Mr. Damarla co-authored a reference textbook titled Chemometric Monitoring: Product Quality Assessment, Process Fault Detection, and Applications (CRC Press, Taylor & Francis Group, Boca Raton, Florida, United States, 2017. (ISBN 9781138746213)). Mr. Damarla has been a referee for Acta Biotheoretica (a springer publication), Journal of King Saud Science (an Elsevier publication), and Applied and Computational Mathematics (Science Publishing Group, USA). Mr. Damarla is a member of International Association of Engineers (IAENG), Fractional Calculus and Application Group, and Allahabad Mathematical Society. Madhusree Kundu started her academic pursuits with a graduation in chemistry, with honors (University of Calcutta) followed by graduation and post-graduation in chemical engineering from the Rajabazar Science College, University of Calcutta, (1990-1992). Dr. Kundu gained experience as a process engineer at Simon Carves (I) Ltd., Kolkata (1993-1998). In the next phase of her scholarly pursuit, Dr. Kundu earned her PhD from the Indian Institute of Technology, Kharagpur (1999-2004), and started her academic profession as the faculty of the Chemical Engineering Group, BITS Pilani, Rajasthan (2004-2006). She joined the NIT Rourkela in 2007 and is continuing there as Professor in the Department of Chemical Engineering. Apart from teaching, she has focused her research activities in chemometrics along with fractional order process modeling and control, solution thermodynamics, and fluid-phase equilibria. Dr. Kundu has authored several research articles in International refereed journals and has a few book chapters, and a reference text book (Chemometric Monitoring: Product Quality Assessment, Process Fault Detection, and Applications, CRC Press, Taylor & Francis Group, Boca Raton, Florida, United States, 2017 (ISBN 9781138746213)) to her credit.
1 Mathematical Postulations 2 Numerical Method for Simulation of Physical
Processes Represented by Weakly Singular Fredholm, Volterra, and
Volterra-Fredholm Integral Equations 3 Numerical Method for Simulation of
Physical Processes Modeled by Abel's Integral Equations 4 Numerical Method
for Simulation of Physical Processes Described by Fractional-Order
Integro-Differential Equations 5 Numerical Method for Simulation of
Physical Processes Represented by Stiff and Nonstiff Fractional-Order
Differential Equations, and Differential-Algebraic Equations 6 Numerical
Method for Simulation of Fractional Diffusion-Wave Equation 7
Identification of Fractional Order Linear and Nonlinear Systems from
Experimental or Simulated Data 8 Design of Fractional Order Controllers
using Triangular Strip Operational Matrices 9 Rational Integer Order System
Approximation for Irrational Fractional Order Systems 10 Numerical Method
for Solving Fractional-Order Optimal Control Problems
Processes Represented by Weakly Singular Fredholm, Volterra, and
Volterra-Fredholm Integral Equations 3 Numerical Method for Simulation of
Physical Processes Modeled by Abel's Integral Equations 4 Numerical Method
for Simulation of Physical Processes Described by Fractional-Order
Integro-Differential Equations 5 Numerical Method for Simulation of
Physical Processes Represented by Stiff and Nonstiff Fractional-Order
Differential Equations, and Differential-Algebraic Equations 6 Numerical
Method for Simulation of Fractional Diffusion-Wave Equation 7
Identification of Fractional Order Linear and Nonlinear Systems from
Experimental or Simulated Data 8 Design of Fractional Order Controllers
using Triangular Strip Operational Matrices 9 Rational Integer Order System
Approximation for Irrational Fractional Order Systems 10 Numerical Method
for Solving Fractional-Order Optimal Control Problems
1 Mathematical Postulations 2 Numerical Method for Simulation of Physical
Processes Represented by Weakly Singular Fredholm, Volterra, and
Volterra-Fredholm Integral Equations 3 Numerical Method for Simulation of
Physical Processes Modeled by Abel's Integral Equations 4 Numerical Method
for Simulation of Physical Processes Described by Fractional-Order
Integro-Differential Equations 5 Numerical Method for Simulation of
Physical Processes Represented by Stiff and Nonstiff Fractional-Order
Differential Equations, and Differential-Algebraic Equations 6 Numerical
Method for Simulation of Fractional Diffusion-Wave Equation 7
Identification of Fractional Order Linear and Nonlinear Systems from
Experimental or Simulated Data 8 Design of Fractional Order Controllers
using Triangular Strip Operational Matrices 9 Rational Integer Order System
Approximation for Irrational Fractional Order Systems 10 Numerical Method
for Solving Fractional-Order Optimal Control Problems
Processes Represented by Weakly Singular Fredholm, Volterra, and
Volterra-Fredholm Integral Equations 3 Numerical Method for Simulation of
Physical Processes Modeled by Abel's Integral Equations 4 Numerical Method
for Simulation of Physical Processes Described by Fractional-Order
Integro-Differential Equations 5 Numerical Method for Simulation of
Physical Processes Represented by Stiff and Nonstiff Fractional-Order
Differential Equations, and Differential-Algebraic Equations 6 Numerical
Method for Simulation of Fractional Diffusion-Wave Equation 7
Identification of Fractional Order Linear and Nonlinear Systems from
Experimental or Simulated Data 8 Design of Fractional Order Controllers
using Triangular Strip Operational Matrices 9 Rational Integer Order System
Approximation for Irrational Fractional Order Systems 10 Numerical Method
for Solving Fractional-Order Optimal Control Problems