Skip to main content
Erschienen in: Soft Computing 19/2018

21.07.2017 | Methodologies and Application

The solution of fuzzy Sylvester matrix equation

verfasst von: Qixiang He, Liangshao Hou, Jieyong Zhou

Erschienen in: Soft Computing | Ausgabe 19/2018

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In this paper, A fuzzy Sylvester matrix equation with crisp coefficient matrices is considered. We use the arithmetic operation rule of fuzzy number to transfer the equation into two crisp Sylvester matrix equations, which avoids using Kronecker operation and which makes it possible to apply some existing methods to solve Sylvester matrix equation. Since the two transferred equations keep the number of unknowns unchanged, numerical operations needed in our method are much less than the operations in the method using Kronecker product. At last, we use several small-scale examples to illustrate the correctness of our method and several large-scale examples to illustrate the efficiency of our method.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
Zurück zum Zitat Antoulas AC (2005) Approximation of large-scale dynamical systems. SIAM, PhiladelphiaCrossRefMATH Antoulas AC (2005) Approximation of large-scale dynamical systems. SIAM, PhiladelphiaCrossRefMATH
Zurück zum Zitat Bartels RH, Stewart GW (1972) Algorithm432:solution of the matrix equation ax + xb = c. Commun ACM 15:820–826CrossRefMATH Bartels RH, Stewart GW (1972) Algorithm432:solution of the matrix equation ax + xb = c. Commun ACM 15:820–826CrossRefMATH
Zurück zum Zitat Breiten T, Simoncini V, Stoll M (2016) Fast iterative solvers for fractional differential equations. Electron Trans Numer Anal 45:107–132MathSciNetMATH Breiten T, Simoncini V, Stoll M (2016) Fast iterative solvers for fractional differential equations. Electron Trans Numer Anal 45:107–132MathSciNetMATH
Zurück zum Zitat Dookhitram K, Lollchund R, Tripathi RK, Bhuruth M (1986) Fully fuzzy sylvester matrix equation. J Intell Fuzzy Syst 28:2199–2211MathSciNetMATH Dookhitram K, Lollchund R, Tripathi RK, Bhuruth M (1986) Fully fuzzy sylvester matrix equation. J Intell Fuzzy Syst 28:2199–2211MathSciNetMATH
Zurück zum Zitat Dubois D, Prade H (1980) Fuzzy sets and systems: theory and applications. Academic Press, LondonMATH Dubois D, Prade H (1980) Fuzzy sets and systems: theory and applications. Academic Press, LondonMATH
Zurück zum Zitat Golub GH, Nash S, Loan CF (1979) A Hessenberg-Schur method for the problem \(AX + XB = C\). IEEE Trans Autom Contr AC-24(6):909–913 Golub GH, Nash S, Loan CF (1979) A Hessenberg-Schur method for the problem \(AX + XB = C\). IEEE Trans Autom Contr AC-24(6):909–913
Zurück zum Zitat Guo X (2011) Approximate solution of fuzzy sylvester matrix equations. In: Seventh international conference on computational intelligence and security, pp 52–56 Guo X (2011) Approximate solution of fuzzy sylvester matrix equations. In: Seventh international conference on computational intelligence and security, pp 52–56
Zurück zum Zitat Hyland C, Bernstein D (1984) The optimal projection equations for fixed-order dynamic compensation. IEEE Trans Automat Control 29:1034–1037MathSciNetCrossRefMATH Hyland C, Bernstein D (1984) The optimal projection equations for fixed-order dynamic compensation. IEEE Trans Automat Control 29:1034–1037MathSciNetCrossRefMATH
Zurück zum Zitat Lancaster P, Tismenetsky M (1985) The theory of matrices. Academic Press, LondonMATH Lancaster P, Tismenetsky M (1985) The theory of matrices. Academic Press, LondonMATH
Zurück zum Zitat Lu A, Wachspress E (1991) Solution of lyapunov equations by alternating direction implicit iteration. Comput Math Appl 21:43–58MathSciNetCrossRefMATH Lu A, Wachspress E (1991) Solution of lyapunov equations by alternating direction implicit iteration. Comput Math Appl 21:43–58MathSciNetCrossRefMATH
Zurück zum Zitat Raich VV, Tripathi RK, Bawa NPS, Dookhitram K, Dayal SK (2011) Application of interval valued fuzzy matrices in medical diagnosis via a new approach. In: International conference on multimedia technology. IEEE Catalog No. CFP1153K-PRT, pp 3440–3443 Raich VV, Tripathi RK, Bawa NPS, Dookhitram K, Dayal SK (2011) Application of interval valued fuzzy matrices in medical diagnosis via a new approach. In: International conference on multimedia technology. IEEE Catalog No. CFP1153K-PRT, pp 3440–3443
Zurück zum Zitat Saad Y (1990) Numerical solution of large Lyapunov equation, vol 3. In: Signal processing, scattering, operator theory, and numerical methods, proceedings of the interntational symposium MTNS-89 Saad Y (1990) Numerical solution of large Lyapunov equation, vol 3. In: Signal processing, scattering, operator theory, and numerical methods, proceedings of the interntational symposium MTNS-89
Zurück zum Zitat Salkuyeh DK (2011) On the solution of the fuzzy sylvester matrix equation, soft computing—a fusion of foundations. Methodol Appl 15(5):953–961MATH Salkuyeh DK (2011) On the solution of the fuzzy sylvester matrix equation, soft computing—a fusion of foundations. Methodol Appl 15(5):953–961MATH
Zurück zum Zitat Simoncini V (2016) Computational methods for linear matrix equations. SIAM Rev 58(3):377–441 Simoncini V (2016) Computational methods for linear matrix equations. SIAM Rev 58(3):377–441
Zurück zum Zitat Triphathi RK, Raich VV, Dookhitram K, Dayal SK, Sai Hareesh A (2012) Similarity between max min and riv technique with reference to two diseases diarrhea and diabetes. In: National conference on computational intelligence and signal processing, pp 170–174 Triphathi RK, Raich VV, Dookhitram K, Dayal SK, Sai Hareesh A (2012) Similarity between max min and riv technique with reference to two diseases diarrhea and diabetes. In: National conference on computational intelligence and signal processing, pp 170–174
Zurück zum Zitat Wachspress E (1998) Iterative solution of the lyapunov matrix equation. Appl Math Lett 107:87–90MathSciNetMATH Wachspress E (1998) Iterative solution of the lyapunov matrix equation. Appl Math Lett 107:87–90MathSciNetMATH
Zurück zum Zitat Zimmermann HJ (1985) Fuzzy sets theory and applications. Kluwer, Dorrecht Zimmermann HJ (1985) Fuzzy sets theory and applications. Kluwer, Dorrecht
Metadaten
Titel
The solution of fuzzy Sylvester matrix equation
verfasst von
Qixiang He
Liangshao Hou
Jieyong Zhou
Publikationsdatum
21.07.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 19/2018
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-017-2702-8

Weitere Artikel der Ausgabe 19/2018

Soft Computing 19/2018 Zur Ausgabe