Růžičková, Miroslava; Dzhalladova, Irada The optimization of solutions of the dynamic systems with random structure. (English) Zbl 1217.93184 Abstr. Appl. Anal. 2011, Article ID 486714, 18 p. (2011). Summary: The paper deals with the class of jump control systems with semi-Markov coefficients. The control system is given by a system of linear differential equations. Every jump of the random process implies the random transformation of solutions of the considered system. Relations determining the optimal control to minimize the functional are derived using Lyapunov functions. Necessary conditions of optimization which enables the synthesis of the optimal control are established as well. Cited in 2 Documents MSC: 93E20 Optimal stochastic control 93E03 Stochastic systems in control theory (general) 60H10 Stochastic ordinary differential equations (aspects of stochastic analysis) 60J75 Jump processes (MSC2010) 49K45 Optimality conditions for problems involving randomness Keywords:jump control systems; semi-Markov coefficients; linear differential equations; Lyapunov functions; necessary conditions of optimization PDF BibTeX XML Cite \textit{M. Růžičková} and \textit{I. Dzhalladova}, Abstr. Appl. Anal. 2011, Article ID 486714, 18 p. (2011; Zbl 1217.93184) Full Text: DOI OpenURL References: [1] V. M. Artemiev and I. E. Kazakov, Handbook on the Theory of Automatic Control, Nauka, Moscow, Russia, 1987. [2] K.G. Valeev and I. A. Dzhalladova, Optimization of Random Process, KNEU, Kyjew, Russia, 2006. · Zbl 1100.39015 [3] I. I. Gihman and A. V. Skorohod, Controlable of Random Process, Izdat. “Naukova Dumka”, Kyjew, Russia, 1977. [4] I. A. Dzhalladova, Optimization of Stochastic System, KNEU, Kyjew, Russia, 2005. · Zbl 1150.34575 [5] V. K. Jasinskiy and E. V. Jasinskiy, Problem of Stability and Stabilization of Dynamic Systems with Finite after Effect, TVIMS, Kyjew, Russia, 2005. [6] K. J. Astrom, Introduction to Stochastic Control Theory, vol. 70 of Mathematics in Science and Engineering, Academic Press, New York, NY, USA, 1970. · Zbl 0226.93027 [7] R. Balaji, Introduction to Stochastic Finance, University to Conecticut, Academic Press, New York, NY, USA, 1997. [8] J. K. Hale and S. M. Verduyn Lunel, Introduction to Functional-Differential Equations, vol. 99 of Applied Mathematical Sciences, Springer, New York, NY, USA, 1993. · Zbl 0787.34002 [9] O. Hájek, Control Theory in the Plane, vol. 153 of Lecture Notes in Control and Information Sciences, Springer, Berlin, Germany, 1991. · Zbl 0825.73459 [10] X. Liao and P. Yu, Absolute Stability of Nonlinear Control Systems, vol. 25 of Mathematical Modelling: Theory and Applications, Springer, New York, NY, USA, Second edition, 2008. · Zbl 1206.76039 [11] G. D. Qushner, Stochastic Stability and Control, Mir, Moscow, Russia, 1969. [12] L. Glass and M. C. Mackey, From Clocks to Chaos. The Rythms of Life, Princeton University Press, Princeton, NJ, USA, 1988. · Zbl 0705.92004 [13] K.G. Valeev and O. L. Strijak, Methods of Moment Equations, AN USSR, Kyjew, Russia, 1985. [14] K. G. Valeev, O. L. Karelova, and V. I. Gorelov, Optimization of a System of Linear Differential Equations with Random Coefficients, RUDN, Moscow, Russia, 1996. [15] H. Kwakernaak and R. Sivan, Linear Optimal Control Systems, John Wiley & Sons, New York, NY, USA, 1972. · Zbl 0346.90044 [16] K.G. Valeev and G. S. Finin, Constructing of Lyapunov Function, Naukova dumka, Kyjew, Russia, 1981. · Zbl 0523.34053 [17] E. A. Barbashyn, Lyapunov Functions, Nauka, Moscow, Russia, 1970. [18] R. Bellman, Introduction to Matrix Analysis, McGraw-Hill, New York, NY, USA, 1960. · Zbl 0124.01001 [19] K. G. Valeev and O. A. Jautykov, Infinite Systems of Differential Equations, Nauka, Alma-Ata, Russia, 1974. This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.