Decentralized Tracking of Large-Scale Stochastic Nonlinear Systems via Output-Feedback

This paper investigates the decentralized output-tracking problem for a class of high-order stochastic nonlinear systems (SNSs). Compared with the existing results, we consider more practical and more general systems, i.e., the system is large-scale and linearization parts may have unstable modes. An output-feedback tracking controller is designed based on a decentralized high-gain homogeneous domination technique. By using advanced stochastic analysis methods, we show that the output tracking errors can be made arbitrarily small while all the states of the closed-loop system remain to be bounded in probability. Finally, the effectiveness of the output-feedback tracking controller is demonstrated by a simulation example.