scholarly journals A Functional Analytic Approach to Infinite Dimensional Stochastic Linear Systems

2021 ◽  
Vol 59 (5) ◽  
pp. 3762-3786
Author(s):  
Fatima Zahra Lahbiri ◽  
Said Hadd
Keyword(s):  
Linear Systems ◽  
Analytic Approach ◽  
Infinite Dimensional ◽  
Stochastic Linear Systems

scholarly journals Review of the Latest Progress in Controllability of Stochastic Linear Systems and Stochastic GE-Evolution Operator

Mathematics ◽  
2021 ◽  
Vol 9 (24) ◽  
pp. 3240
Author(s):  
Zhaoqiang Ge
Keyword(s):  
Linear Systems ◽  
Approximate Controllability ◽  
Evolution Operator ◽  
Sufficient Conditions ◽  
Exact Controllability ◽  
Spatial Dimension ◽  
Infinite Dimensional ◽  
Finite Dimensional ◽  
Stochastic Linear Systems ◽  
Singular Linear Systems

According to the spatial dimension, equation type, and time sequence, the latest progress in controllability of stochastic linear systems and some unsolved problems are introduced. Firstly, the exact controllability of stochastic linear systems in finite dimensional spaces is discussed. Secondly, the exact, exact null, approximate, approximate null, and partial approximate controllability of stochastic linear systems in infinite dimensional spaces are considered. Thirdly, the exact, exact null and impulse controllability of stochastic singular linear systems in finite dimensional spaces are investigated. Fourthly, the exact and approximate controllability of stochastic singular linear systems in infinite dimensional spaces are studied. At last, the controllability and observability for a type of time-varying stochastic singular linear systems are studied by using stochastic GE-evolution operator in the sense of mild solution in Banach spaces, some necessary and sufficient conditions are obtained, the dual principle is proved to be true, an example is given to illustrate the validity of the theoretical results obtained in this part, and a problem to be solved is introduced. The main purpose of this paper is to facilitate readers to fully understand the latest research results concerning the controllability of stochastic linear systems and the problems that need to be further studied, and attract more scholars to engage in this research.

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