Stability of Stochastic Systems

This paper studies the properties of signals at the output of a system whose parameters are subjected to random fluctuations of the white noise type. A basis is laid for the possibility of linearizing such systems in order to facilitate stability studies. It is proven that the process at the output of the system is dissipative if the input signal has a finite mathematical expectation and the system itself is stable in a sufficiently strong sense.