Command Filtered Adaptive Tracking Control for a Class of Random Nonlinear Systems

Abstract

This brief investigates output tracking issue for a category of random nonlinear systems (RNSs) in strict-feedback form. Distinguished from the extendedly-researched stochastic nonlinear systems (SNSs), random nonlinear systems are claimed to be more suitable to model practical controlled plant. By using the technique of command filtered adaptive backstepping, the output of the system is controlled to follow a prescribed trajectory, and all signals of the closed-loop system are also bounded. A numerical simulation is performed to verify the effectiveness of the theoretical research.