Global Decentralized Control of [Formula Omitted]-Normal Large-Scale Nonlinear Systems Based on Sampled-Data Output Feedback

This article considers the global decentralized sampled-data output feedback control problem for large-scale nonlinear systems in the [Formula Omitted]-normal form. To estimate unavailable states, a sampled-data observer is designed. Under suitable scaling gains and an allowable sampling period, a decentralized sampled-data control law is presented to ensure the globally asymptotically stability of the corresponding closed-loop system. Finally, simulation examples are provided to verify the validity of the designed strategy.