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Published in: Soft Computing 22/2020

19-05-2020 | Methodologies and Application

Solving variable-order fractional differential algebraic equations via generalized fuzzy hyperbolic model with application in electric circuit modeling

Authors: Marzieh Mortezaee, Mehdi Ghovatmand, Alireza Nazemi

Published in: Soft Computing | Issue 22/2020

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Abstract

In this paper, a new approach based on a generalized fuzzy hyperbolic model is used for the numerical solution of variable-order fractional differential algebraic equations. The fractional derivative is described in the Atangana–Baleanu sense that is a new derivative with fractional order based on the generalized Mittag–Leffler function. First, by using fuzzy solutions with adjustable parameters, the variable-order fractional differential algebraic equations are reduced to a problem consisting of solving a system of algebraic equations. For adjusting the parameters of fuzzy solutions, an unconstrained optimization problem is then considered. A learning algorithm is also presented for solving the unconstrained optimization problem. Finally, some numerical examples are given to verify the efficiency and accuracy of the proposed approach.

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Literature
go back to reference Atangana A, Alqahtani RT (2016) Stability analysis of nonlinear thin viscous fluid sheet flow equation with local fractional variable-order derivative. J Comput Theor Nanosci 13:2710–17 Atangana A, Alqahtani RT (2016) Stability analysis of nonlinear thin viscous fluid sheet flow equation with local fractional variable-order derivative. J Comput Theor Nanosci 13:2710–17
go back to reference Bazaraa MS, Sherali HD, Shetty CM (2006) Nonlinear programming: theory and algorithms, 3rd edn. Wiley, HobokenMATH Bazaraa MS, Sherali HD, Shetty CM (2006) Nonlinear programming: theory and algorithms, 3rd edn. Wiley, HobokenMATH
go back to reference Bendtsen C, Thomsen PG (1999) Numerical solution of differential algebraic equations, technical report, Department of Mathematical Modelling, Technical University of Denmark, Lyngby, Denmark Bendtsen C, Thomsen PG (1999) Numerical solution of differential algebraic equations, technical report, Department of Mathematical Modelling, Technical University of Denmark, Lyngby, Denmark
go back to reference Boulkaibet I, Belarbi K, Bououden S, Marwala T, Chadli M (2017) A new T–S fuzzy model predictive control for nonlinear processes. Expert Syst Appl 88:132–151 Boulkaibet I, Belarbi K, Bououden S, Marwala T, Chadli M (2017) A new T–S fuzzy model predictive control for nonlinear processes. Expert Syst Appl 88:132–151
go back to reference Cao J, Qiu Y, Song G (2017) A compact finite difference scheme for variable order subdiffusion equation. Commun Nonlinear Sci Numer Simul 48:140–149MathSciNetMATH Cao J, Qiu Y, Song G (2017) A compact finite difference scheme for variable order subdiffusion equation. Commun Nonlinear Sci Numer Simul 48:140–149MathSciNetMATH
go back to reference Chen YY, Chang YT, Chen BS (2009) Fuzzy solutions to partial differential equations: adaptive approach. IEEE Trans Fuzzy Syst 17(1):116–127 Chen YY, Chang YT, Chen BS (2009) Fuzzy solutions to partial differential equations: adaptive approach. IEEE Trans Fuzzy Syst 17(1):116–127
go back to reference Chen Y-M, Wei Y-Q, Liu D-Y, Yu H (2015) Numerical solution for a class of nonlinear variable order fractional differential equations with Legendre wavelets. Appl Math Lett 46:83–88MathSciNetMATH Chen Y-M, Wei Y-Q, Liu D-Y, Yu H (2015) Numerical solution for a class of nonlinear variable order fractional differential equations with Legendre wavelets. Appl Math Lett 46:83–88MathSciNetMATH
go back to reference Coronel-Escamilla A, Gómez-Aguilar JF, Torres L, Escobar-Jiménez RF (2018) A numerical solution for a variable-order reaction–diffusion model by using fractional derivatives with non-local and non-singular kernel. Phys A 491:406–24MathSciNet Coronel-Escamilla A, Gómez-Aguilar JF, Torres L, Escobar-Jiménez RF (2018) A numerical solution for a variable-order reaction–diffusion model by using fractional derivatives with non-local and non-singular kernel. Phys A 491:406–24MathSciNet
go back to reference Cui Y, Zhang HG, Wang Y, Gao W (2016) Adaptive control for a class of uncertain strict-feedback nonlinear systems based on a generalized fuzzy hyperbolic model. Fuzzy Sets Syst 302:52–64MathSciNetMATH Cui Y, Zhang HG, Wang Y, Gao W (2016) Adaptive control for a class of uncertain strict-feedback nonlinear systems based on a generalized fuzzy hyperbolic model. Fuzzy Sets Syst 302:52–64MathSciNetMATH
go back to reference Dang QV et al (2017) Robust stabilizing controller design for Takagi–Sugeno fuzzy descriptor systems under state constraints and actuator satu-ration. Fuzzy Sets Syst 329:77–90MATH Dang QV et al (2017) Robust stabilizing controller design for Takagi–Sugeno fuzzy descriptor systems under state constraints and actuator satu-ration. Fuzzy Sets Syst 329:77–90MATH
go back to reference Deng W, Zhao H, Zou L, Li G, Yang X, Wu D (2017a) A novel collaborative optimization algorithm in solving complex optimization problems. Soft Comput 21:4387–4398 Deng W, Zhao H, Zou L, Li G, Yang X, Wu D (2017a) A novel collaborative optimization algorithm in solving complex optimization problems. Soft Comput 21:4387–4398
go back to reference Deng W, Zhao H, Yang X, Xiong J, Sun M, Li B (2017b) Study on an improved adaptive PSO algorithm for solving multi-objective gate assignment. Appl Soft Comput 59:288–302 Deng W, Zhao H, Yang X, Xiong J, Sun M, Li B (2017b) Study on an improved adaptive PSO algorithm for solving multi-objective gate assignment. Appl Soft Comput 59:288–302
go back to reference Deng W, Xu J, Zhao H (2019) An improved ant colony optimization algorithm based on hybrid strategies for scheduling problem. IEEE Access 7:20281–20292 Deng W, Xu J, Zhao H (2019) An improved ant colony optimization algorithm based on hybrid strategies for scheduling problem. IEEE Access 7:20281–20292
go back to reference Dong J, Fu Y (2017) A design method for T–S fuzzy systems with partly immeasurable premise variables subject to actuator saturation. Neurocomputing 225:164–173 Dong J, Fu Y (2017) A design method for T–S fuzzy systems with partly immeasurable premise variables subject to actuator saturation. Neurocomputing 225:164–173
go back to reference Fu Z, Chen W, Ling L (2015) Method of approximate particular solutions for constant- and variable-order fractional diffusion models. Eng Anal Bound Elem 57:37–46MathSciNetMATH Fu Z, Chen W, Ling L (2015) Method of approximate particular solutions for constant- and variable-order fractional diffusion models. Eng Anal Bound Elem 57:37–46MathSciNetMATH
go back to reference Ghanbari B, Gómez-Aguilar JF (2018) Modeling the dynamics of nutrient–phytoplankton–zooplankton system with variable-order fractional derivatives. Chaos, Solitons Fractals 116:114–120MathSciNetMATH Ghanbari B, Gómez-Aguilar JF (2018) Modeling the dynamics of nutrient–phytoplankton–zooplankton system with variable-order fractional derivatives. Chaos, Solitons Fractals 116:114–120MathSciNetMATH
go back to reference Ghanbari F, Ghanbari K, Mokhtary P (2018) Generalized Jacobi–Galerkin method for nonlinear fractional differential algebraic equations. Comput Appl Math 37(4):5456–5475MathSciNetMATH Ghanbari F, Ghanbari K, Mokhtary P (2018) Generalized Jacobi–Galerkin method for nonlinear fractional differential algebraic equations. Comput Appl Math 37(4):5456–5475MathSciNetMATH
go back to reference Ghomanjani F (2017) A new approach for solving fractional differential–algebraic equations. J Taibah Univ Sci 11:1158–1164 Ghomanjani F (2017) A new approach for solving fractional differential–algebraic equations. J Taibah Univ Sci 11:1158–1164
go back to reference Gómez-Aguilar JF (2018) Analytical and numerical solutions of a nonlinear alcoholism model via variable-order fractional differential equations. Phys A 494:52–75MathSciNet Gómez-Aguilar JF (2018) Analytical and numerical solutions of a nonlinear alcoholism model via variable-order fractional differential equations. Phys A 494:52–75MathSciNet
go back to reference Jia Y, Xu M, Lin Y (2017) A numerical solution for variable order fractional functional differential equation. Appl Math Lett 64:125–130MathSciNetMATH Jia Y, Xu M, Lin Y (2017) A numerical solution for variable order fractional functional differential equation. Appl Math Lett 64:125–130MathSciNetMATH
go back to reference Karabacak M, Celik E (2013) The numerical solution of fractional differential-algebraic equations (FDAEs). New Trends Math Sci 1(2):1–6 Karabacak M, Celik E (2013) The numerical solution of fractional differential-algebraic equations (FDAEs). New Trends Math Sci 1(2):1–6
go back to reference Kosko B (1994) Fuzzy systems as universal approximators. IEEE Trans Comput 43(11):1329–1333MATH Kosko B (1994) Fuzzy systems as universal approximators. IEEE Trans Comput 43(11):1329–1333MATH
go back to reference Lee KY, El-Sharkawi MA (2008) Modern heuristic optimization techniques: theory and applications to power systems. Wiley, Hoboken Lee KY, El-Sharkawi MA (2008) Modern heuristic optimization techniques: theory and applications to power systems. Wiley, Hoboken
go back to reference Li X, Wu B (2017) A new reproducing kernel method for variable order fractional boundary value problems for functional differential equations. J Comput Appl Math 311:387–393MathSciNetMATH Li X, Wu B (2017) A new reproducing kernel method for variable order fractional boundary value problems for functional differential equations. J Comput Appl Math 311:387–393MathSciNetMATH
go back to reference Li X, Li H, Wu B (2017) A new numerical method for variable order fractional functional differential equations. Appl Math Lett 68:80–86MathSciNetMATH Li X, Li H, Wu B (2017) A new numerical method for variable order fractional functional differential equations. Appl Math Lett 68:80–86MathSciNetMATH
go back to reference Liu H, Fu Y, Li B (2017) Discrete waveform relaxation method for linear fractional delay differential-algebraic equations. Discrete Dyn Nat Soc 6306570:9 pages Liu H, Fu Y, Li B (2017) Discrete waveform relaxation method for linear fractional delay differential-algebraic equations. Discrete Dyn Nat Soc 6306570:9 pages
go back to reference Liu S, Guo Z, Zhang HG (2008) Fuzzy hyperbolic neural network model and its application in H1 filter design, In: Sun F et al (eds) Proceedings of the 5th international symposium on neural networks: advances in neural networks, part I, LNCS 5263, Springer, Berlin, 2008, pp 222–230 Liu S, Guo Z, Zhang HG (2008) Fuzzy hyperbolic neural network model and its application in H1 filter design, In: Sun F et al (eds) Proceedings of the 5th international symposium on neural networks: advances in neural networks, part I, LNCS 5263, Springer, Berlin, 2008, pp 222–230
go back to reference Mei W, Bullo F (2017) Lasalle invariance principle for discrete-time dynamical systems: a concise and self-contained tutorial. arXiv preprint arXiv:1710.03710 Mei W, Bullo F (2017) Lasalle invariance principle for discrete-time dynamical systems: a concise and self-contained tutorial. arXiv preprint arXiv:​1710.​03710
go back to reference Miller KS, Ross B (1993) An introduction to the fractional calculus and fractional differential equations. Wiley, New YorkMATH Miller KS, Ross B (1993) An introduction to the fractional calculus and fractional differential equations. Wiley, New YorkMATH
go back to reference Mirzajani S, PourmahmoodAghababa M, Heydari A (2019) Adaptive T–S fuzzy control design for fractional-order systems withparametric uncertainty and input constraint. Fuzzy Sets Syst 365(15):22–39MATH Mirzajani S, PourmahmoodAghababa M, Heydari A (2019) Adaptive T–S fuzzy control design for fractional-order systems withparametric uncertainty and input constraint. Fuzzy Sets Syst 365(15):22–39MATH
go back to reference Muthukumar P, Balasubramaniam P, Ratnavelu K (2016) T–S fuzzy predictive control for fractional order dynamical systems and its applications. Nonlinear Dyn 86(2):751–763MATH Muthukumar P, Balasubramaniam P, Ratnavelu K (2016) T–S fuzzy predictive control for fractional order dynamical systems and its applications. Nonlinear Dyn 86(2):751–763MATH
go back to reference Nocedal J, Wright S (2006) Numerical Optimization, second edn. Springer- Verlag, Berlin, NewYorkMATH Nocedal J, Wright S (2006) Numerical Optimization, second edn. Springer- Verlag, Berlin, NewYorkMATH
go back to reference Pakdaman M, Effati S (2016) Approximating the solution of optimal control problems by fuzzy systems. Neural Process Lett 43(3):667–686 Pakdaman M, Effati S (2016) Approximating the solution of optimal control problems by fuzzy systems. Neural Process Lett 43(3):667–686
go back to reference Pham VT, Vaidyanathan S, Volos C, Kapitaniak T (2018) Nonlinear dynamical systems with self-excited and hidden attractors. Springer, BerlinMATH Pham VT, Vaidyanathan S, Volos C, Kapitaniak T (2018) Nonlinear dynamical systems with self-excited and hidden attractors. Springer, BerlinMATH
go back to reference Sh DM, Hassani H (2017) An optimization method based on the generalized polynomials for nonlinear variable-order time fractional diffusion-wave equation. Nonlinear Dyn 88:1587–1598MathSciNetMATH Sh DM, Hassani H (2017) An optimization method based on the generalized polynomials for nonlinear variable-order time fractional diffusion-wave equation. Nonlinear Dyn 88:1587–1598MathSciNetMATH
go back to reference Shen S, Liu F, Anh V, Turner I, Chen J (2013) A characteristic difference method for the variable-order fractional advection–diffusion equation. J Appl Math Comput 42:371–386MathSciNetMATH Shen S, Liu F, Anh V, Turner I, Chen J (2013) A characteristic difference method for the variable-order fractional advection–diffusion equation. J Appl Math Comput 42:371–386MathSciNetMATH
go back to reference Shen H, Su L, Park JH (2017) Reliable mixed/passive control for T–S fuzzy delayed systems based on a semi-Markov jump model approach. Fuzzy Sets Syst 314:79–98MathSciNetMATH Shen H, Su L, Park JH (2017) Reliable mixed/passive control for T–S fuzzy delayed systems based on a semi-Markov jump model approach. Fuzzy Sets Syst 314:79–98MathSciNetMATH
go back to reference Shiri B, Baleanu D (2019) System of fractional differential algebraic equations with applications. Chaos Solitons Fractals 120:203–212MathSciNet Shiri B, Baleanu D (2019) System of fractional differential algebraic equations with applications. Chaos Solitons Fractals 120:203–212MathSciNet
go back to reference Solís-Pérez JE, Gómez-Aguilar JF, Atangana A (2018) Novel numerical method for solving variable-order fractional differential equations with power, exponential and Mittag–Leffler laws. Chaos Solitons Fractals 114:175–185MathSciNetMATH Solís-Pérez JE, Gómez-Aguilar JF, Atangana A (2018) Novel numerical method for solving variable-order fractional differential equations with power, exponential and Mittag–Leffler laws. Chaos Solitons Fractals 114:175–185MathSciNetMATH
go back to reference Sun H, Chen W, Li CH, Chen Y (2012) Finite difference schemes for variable-order time fractional diffusion equation. Int J Bifurc Chaos 22:1250085MathSciNetMATH Sun H, Chen W, Li CH, Chen Y (2012) Finite difference schemes for variable-order time fractional diffusion equation. Int J Bifurc Chaos 22:1250085MathSciNetMATH
go back to reference Sun Q, Wang Y, Yang J, Qiu Y, Zhang H (2014) Chaotic dynamics in smart grid and suppression scheme via generalized fuzzy hyperbolic model. Math Probl Eng 2014, Article ID 761271, 7 pages Sun Q, Wang Y, Yang J, Qiu Y, Zhang H (2014) Chaotic dynamics in smart grid and suppression scheme via generalized fuzzy hyperbolic model. Math Probl Eng 2014, Article ID 761271, 7 pages
go back to reference Sun H, Zhang Y, Baleanu D, Chen W, Chen Y (2018) A new collection of real world applications of fractional calculus in science and engineering. Commun Nonlinear Sci Numer Simul 64:213–231 Sun H, Zhang Y, Baleanu D, Chen W, Chen Y (2018) A new collection of real world applications of fractional calculus in science and engineering. Commun Nonlinear Sci Numer Simul 64:213–231
go back to reference Takagi T, Sugeno M (1985) Fuzzy identification of systems and its applications to modeling and control. IEEE Trans Syst Man Cybern 15(1):116–132MATH Takagi T, Sugeno M (1985) Fuzzy identification of systems and its applications to modeling and control. IEEE Trans Syst Man Cybern 15(1):116–132MATH
go back to reference Wang LX (1992) Fuzzy systems are universal approximators. In: Proceedings 1EEE international conference on fuzzy systems (San Diego), pp 1163–1170 Wang LX (1992) Fuzzy systems are universal approximators. In: Proceedings 1EEE international conference on fuzzy systems (San Diego), pp 1163–1170
go back to reference Wang L, Chen N (2014) The predictor-corrector solution for fractional order differential algebraic equation. In: CFDA’14 international conference on fractional differentiation and its applications Wang L, Chen N (2014) The predictor-corrector solution for fractional order differential algebraic equation. In: CFDA’14 international conference on fractional differentiation and its applications
go back to reference Wang SH, Jhu WL, Yung CF, Wang PF (2011) Numerical solutions of differential algebraic equations and its applications in solving TPPC problems. J Mar Sci Technol 19:76–88 Wang SH, Jhu WL, Yung CF, Wang PF (2011) Numerical solutions of differential algebraic equations and its applications in solving TPPC problems. J Mar Sci Technol 19:76–88
go back to reference Wu ZG, Dong SH, Shi P, Su H, Huang T, Lu R (2017) Fuzzy-model-based nonfragile guaranteed cost control of nonlinear markov jump systems. IEEE Trans Syst Man Cybern Syst 47(8):1–10 Wu ZG, Dong SH, Shi P, Su H, Huang T, Lu R (2017) Fuzzy-model-based nonfragile guaranteed cost control of nonlinear markov jump systems. IEEE Trans Syst Man Cybern Syst 47(8):1–10
go back to reference Xu T, Lu S, Chen W, Chen H (2018) Finite difference scheme for multi-term variable-order fractional diffusion equation. Adv Differ Equ 103:1–13MathSciNetMATH Xu T, Lu S, Chen W, Chen H (2018) Finite difference scheme for multi-term variable-order fractional diffusion equation. Adv Differ Equ 103:1–13MathSciNetMATH
go back to reference Yaghoobi S, Moghaddam BP, Ivaz K (2017) An efficient cubic spline approximation for variable-order fractional differential equations with time delay. Nonlinear Dyn 87:815–826MathSciNetMATH Yaghoobi S, Moghaddam BP, Ivaz K (2017) An efficient cubic spline approximation for variable-order fractional differential equations with time delay. Nonlinear Dyn 87:815–826MathSciNetMATH
go back to reference Yang XJ (2017) Fractional derivatives of constant and variable orders applied to anomalous relaxation models in heat-transfer problems. Therm Sci 21:1161–1171 Yang XJ (2017) Fractional derivatives of constant and variable orders applied to anomalous relaxation models in heat-transfer problems. Therm Sci 21:1161–1171
go back to reference Ying H (1994) Sufficient conditions on general fuzzy systems as function approximators. Automatica 30:521–525MATH Ying H (1994) Sufficient conditions on general fuzzy systems as function approximators. Automatica 30:521–525MATH
go back to reference Zak SH (2003) Systems and control. Oxford University Press, Oxford Zak SH (2003) Systems and control. Oxford University Press, Oxford
go back to reference Zeng XJ, Singh MG (1995) Approximation theory of fuzzy systems-MIMO case. IEEE Trans Fuzzy Syst 3(2):219–235 Zeng XJ, Singh MG (1995) Approximation theory of fuzzy systems-MIMO case. IEEE Trans Fuzzy Syst 3(2):219–235
go back to reference Zhang X-S (2000) Neural networks in optimization. Kluwer Academic Publishers, DordrechtMATH Zhang X-S (2000) Neural networks in optimization. Kluwer Academic Publishers, DordrechtMATH
go back to reference Zhang HG, Yongbing Q (2001) Modeling, identification, and control of a class of nonlinear systems. IEEE Trans Fuzzy Syst 9(2):349–354MATH Zhang HG, Yongbing Q (2001) Modeling, identification, and control of a class of nonlinear systems. IEEE Trans Fuzzy Syst 9(2):349–354MATH
go back to reference Zhang M, Zhang H (2005) Modeling and control based on generalized fuzzy hyperbolic model. In: American control conference Zhang M, Zhang H (2005) Modeling and control based on generalized fuzzy hyperbolic model. In: American control conference
go back to reference Zhang M, Zhang H (2006) Robust adaptive fuzzy control scheme for nonlinear system with uncertainty. J Control Theory Appl 4(2):209–216MathSciNetMATH Zhang M, Zhang H (2006) Robust adaptive fuzzy control scheme for nonlinear system with uncertainty. J Control Theory Appl 4(2):209–216MathSciNetMATH
go back to reference Zhang HG, Wang Z, Liu D (2003) Chaotifying fuzzy hyperbolic model using adaptive inverse optimal control approach. Int J Bifurc Chaos 12:32–43 Zhang HG, Wang Z, Liu D (2003) Chaotifying fuzzy hyperbolic model using adaptive inverse optimal control approach. Int J Bifurc Chaos 12:32–43
go back to reference Zhang HG, Wang ZL, Li M, Quan B, Zhang MG (2004a) Generalized fuzzy hyperbolic model: a universal approximator. Acta Autom Sin 30(3):416–422MathSciNet Zhang HG, Wang ZL, Li M, Quan B, Zhang MG (2004a) Generalized fuzzy hyperbolic model: a universal approximator. Acta Autom Sin 30(3):416–422MathSciNet
go back to reference Zhang HG, Wang ZL, Li M, Quan B, Zhang MJ (2004b) Generalized fuzzy hyperbolic model: a universal approximator. Acta Autom Sin 30(3):416–422MathSciNet Zhang HG, Wang ZL, Li M, Quan B, Zhang MJ (2004b) Generalized fuzzy hyperbolic model: a universal approximator. Acta Autom Sin 30(3):416–422MathSciNet
go back to reference Zhang M, Zhang H, Liu D (2004c) A generalized fuzzy hyperbolic modeling and control scheme. In: IEEE international conference on fuzzy systems Zhang M, Zhang H, Liu D (2004c) A generalized fuzzy hyperbolic modeling and control scheme. In: IEEE international conference on fuzzy systems
go back to reference Zhang HG, Wang Z, Liu D (2005) Chaotifying fuzzy hyperbolic model using impulsive and nonlinear feedback control approaches. Int J Bifurc Chaos 15(8):2603–2610MathSciNetMATH Zhang HG, Wang Z, Liu D (2005) Chaotifying fuzzy hyperbolic model using impulsive and nonlinear feedback control approaches. Int J Bifurc Chaos 15(8):2603–2610MathSciNetMATH
go back to reference Zhang JL, Zhang HG, Luo YH, Liang HJ (2013) Nearly optimal control scheme using adaptive dynamic programming based on generalized fuzzy hyperbolic model. Acta Autom Sin 39(2):142–148MathSciNetMATH Zhang JL, Zhang HG, Luo YH, Liang HJ (2013) Nearly optimal control scheme using adaptive dynamic programming based on generalized fuzzy hyperbolic model. Acta Autom Sin 39(2):142–148MathSciNetMATH
go back to reference Zhao H, Zheng J, Xu J, Deng W (2019b) Fault diagnosis method based on principal component analysis and broad learning system. IEEE Access 7:99263–99272 Zhao H, Zheng J, Xu J, Deng W (2019b) Fault diagnosis method based on principal component analysis and broad learning system. IEEE Access 7:99263–99272
go back to reference Zhao H, Zheng J, Deng W, Song Y (2020) Semi-supervised broad learning system based on manifold regularization and broad network. IEEE Trans Circuits Syst I Regul Pap 67(3):983–994MathSciNet Zhao H, Zheng J, Deng W, Song Y (2020) Semi-supervised broad learning system based on manifold regularization and broad network. IEEE Trans Circuits Syst I Regul Pap 67(3):983–994MathSciNet
go back to reference Zhu Q, Azar AT (2015) Complex system modelling and control through intelligent soft computations. Springer, BerlinMATH Zhu Q, Azar AT (2015) Complex system modelling and control through intelligent soft computations. Springer, BerlinMATH
go back to reference Zurigat M, Momani SH, Alawneh A (2010) Analytical approximate solutions of systems of fractional algebraic differential equations by homotopy analysis method. Comput Math Appl 59:1227–1235MathSciNetMATH Zurigat M, Momani SH, Alawneh A (2010) Analytical approximate solutions of systems of fractional algebraic differential equations by homotopy analysis method. Comput Math Appl 59:1227–1235MathSciNetMATH
Metadata
Title
Solving variable-order fractional differential algebraic equations via generalized fuzzy hyperbolic model with application in electric circuit modeling
Authors
Marzieh Mortezaee
Mehdi Ghovatmand
Alireza Nazemi
Publication date
19-05-2020
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 22/2020
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-020-04969-7

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