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 existing results, we consider more practical and general systems, i.e., system is large-scale linearization parts may have unstable modes. An output-feedback tracking controller designed based on high-gain homogeneous domination technique. By using advanced analysis methods, show that output errors can be made arbitrarily small while all states closed-loop remain to bounded in probability. Finally, effectiveness demonstrated by simulation example.