Michał Kisielewicz
University of Zielona Góra
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Stochastic Analysis and Applications | 1997
Michał Kisielewicz
We present the concepts of set - valued stochastic integrals and stochastic inclusions. The main result of the paper deals with a selection property of set - valued stochastic integrals. This property is a fundamental one for stochastic inclusions.
Journal of Optimization Theory and Applications | 1982
Michał Kisielewicz
AbstractThis paper is concerned with multivalued differential equations of the form
Archive | 2013
Michał Kisielewicz
Journal of Applied Mathematics and Stochastic Analysis | 1993
Michał Kisielewicz
\dot x
Topological Methods in Nonlinear Analysis | 2001
Michał Kisielewicz
Discussiones Mathematicae. Differential Inclusions, Control and Optimization | 2013
Michał Kisielewicz
∈F(t,x), whereF is a multivalued mapping taking as its values nonempty compact, but not necessarily convex, subsets in a separable Banach space. The main result is connected with the existence of solutions of these equations.
Stochastic Analysis and Applications | 2005
Michał Kisielewicz
Preface.- List of Symbols.- 1. Stochastic Processes.- 2. Set-Valued Stochastic Processes.- 3. Set-Valued Stochastic Intergrals.- 4. Stochastic Differential Inclusions.- 5.Viability Theory.- 6. Partial Differential Inclusions.- 7. Some Optimal Control Problems.- Bibliography.- Subject Index.
Demonstratio Mathematica | 1976
Michał Kisielewicz; B. Serafín; W. Sosulski
The properties of the solution set of stochastic inclusions xt−xs∈clL2(∫stFτ(xτ)dτ
International Journal of Stochastic Analysis | 1994
Michał Kisielewicz
Necessary and sufficient conditions for the existence of weak solutions to stochastic differential inclusions with convex right-hand sides are given. The main results of the paper deal with the weak compactness with respect to the convergence in distribution of solution sets to such inclusions.
Archive | 2013
Michał Kisielewicz
This chapter is devoted to the theory of stochastic differential inclusions. The main results deal with stochastic functional inclusions defined by set-valued functional stochastic integrals. Subsequent sections discuss properties of stochastic and backward stochastic differential inclusions.