On the boundedness of a distributed parameter process with noisy boundary conditions

A distributed parameter process with noisy boundary conditions is considered. The noise acting on the system's boundary is either a Gaussian white noise or a Poissonian type process. A Lyapunov type functional is defined on the sample functions of the distributed process, and sufficient conditions, for the ultimate boundedness of this functional, are derived.