DOI QR코드

DOI QR Code

Stability Analysis of Linear Uncertain Differential Equations

  • Chen, Xiaowei (Department of Risk Management and Insurance, Nankai University) ;
  • Gao, Jinwu (School of Information, Renmin University of China)
  • Received : 2012.08.12
  • Accepted : 2013.03.06
  • Published : 2013.03.31

Abstract

Uncertainty theory is a branch of mathematics based on normolity, duality, subadditivity and product axioms. Uncertain process is a sequence of uncertain variables indexed by time. Canonical Liu process is an uncertain process with stationary and independent increments. And the increments follow normal uncertainty distributions. Uncertain differential equation is a type of differential equation driven by the canonical Liu process. Stability analysis on uncertain differential equation is to investigate the qualitative properties, which is significant both in theory and application for uncertain differential equations. This paper aims to study stability properties of linear uncertain differential equations. First, the stability concepts are introduced. And then, several sufficient and necessary conditions of stability for linear uncertain differential equations are proposed. Besides, some examples are discussed.

Keywords

References

  1. Chen, X. and Liu, B. (2010), Existence and uniqueness theorem for uncertain differential equations, Fuzzy Optimization and Decision Making, 9(1), 69-81. https://doi.org/10.1007/s10700-010-9073-2
  2. Chen, X. (2011), American option pricing formula for uncertain financial market, International Journal of Operations Research, 8(2), 32-37.
  3. Gao, Y. (2012), Existence and uniqueness theorem on uncertain differential equations with local lipschitz condition, Journal of Uncertain Systems, 6(3), 223-232.
  4. Ito, K. (1951), On stochastic differential equations, Memoirs of the American Mathematical Society, 4, 1-51.
  5. Kushner, H. J. (1967), Stochastic Stability and Control, Academic Press; New York, NY.
  6. Kats, I. and Krasovskii, N. (1960), On the stability of systems with random parameters, Journal of Applied Mathematics and Mechanics, 24(5), 1225-1246. https://doi.org/10.1016/0021-8928(60)90103-9
  7. Khas'minskii, R. Z. (1962), On the stability of the trajectory of markov processes, Journal of Applied Mathematics and Mechanics, 26(6), 1554-1565. https://doi.org/10.1016/0021-8928(62)90192-2
  8. Khas'minskii, R. Z. (1980), Stochastic Stability of Differential Equations, Kluwer Academic Publishers, Dordrecht.
  9. Kunita, H. and Watanabe, S. (1967), On square integrable martingales, Nagoya Mathematical Journal, 30, 209-245. https://doi.org/10.1017/S0027763000012484
  10. Liu, B. (2007), Uncertainty Theory (2nd ed.), Springer- Verlag, Berlin.
  11. Liu, B. (2008), Fuzzy process, hybrid process and uncertain process, Journal of Uncertain Systems, 2(1), 3-16.
  12. Liu, B. (2009), Some research problems in uncertainty theory, Journal of Uncertain Systems, 3(1), 3-10.
  13. Liu, B. (2010), Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty, Springer- Verlag, Berlin.
  14. Liu, Y. (2012), An analytic method for solving uncertain differential equations, Journal of Uncertain Systems, 6(4), 244-249.
  15. Meyer, P. A. (1970), Seminaire de ProbabilitesIV Universite de Strasbourg, Springer-Verlin, Heidelberg.
  16. Peng, J. and Yao, K. (2011), A new option pricing model for stocks in uncertainty markets, International Journal of Operations Research, 8(2), 18-26.
  17. Zhu, Y. (2010), Uncertain optimal control with application to a portfolio selection model, Cybernetics and Systems, 41(7), 535-547. https://doi.org/10.1080/01969722.2010.511552

Cited by

  1. The pth moment exponential stability of uncertain differential equation vol.33, pp.2, 2013, https://doi.org/10.3233/jifs-161836
  2. A new existence and uniqueness theorem for uncertain delay differential equations vol.37, pp.3, 2013, https://doi.org/10.3233/jifs-190264
  3. Symplectic-Structure-Preserving Uncertain Differential Equations vol.13, pp.8, 2013, https://doi.org/10.3390/sym13081424