Decentralized practical tracking for stochastic nonlinear interconnected systems

This paper focus on the practical tracking for a class of stochastic interconnected systems with parametric uncertainties, in which the stochastic exogenous disturbances depend on the output of the local subsystem. By employing a decentralized state observer, a partially decentralized adaptive controller and parameter adaptive laws are designed to ensure the input-to-state stability in probability of the closed-loop system. It is shown that the tracking errors can converge to a small residual set around the origin.