Decentralized Robust Control Synthesis for Large Scale System with Uncertainties

There exists a special subsystem, which possesses the maximum state dimension, in some large-scale nonlinear uncertain systems. By introducing a group of adjustable relation parameters, a new decentralized robust control strategy is proposed according to focusing attention on this special subsystem. These choices of parameters have a heavy bearing on the control synthesis of the large scale system. Since the parameters are adjustable, by regulating them, the decentralized robust linear state feedback controller is obtained under the bound of uncertainty. Finally, the simulation shows the validity.