Information Allocation for Transport Switched Systems With ADT Method

In this work, an output feedback controller based on adaptive backstepping technique is considered for a class of transport information switched systems. A modified adaptive neural network control method is successfully built by combining the general approximation capability and dynamic surface control technique with the improved mean discrete time scheme. More specifically, a switched observer is constructed to reduce the conservatism caused by the use of a common observer, and by adopting the common coordinate transformation of all subsystems, it is proved that the overall closed-loop system is stable in the sense of semi-globally uniformly ultimately bounded in mean square, and steers the output to a small neighborhood of the origin. Finally, mass-spring-damping system with controller switching simulation studies are provided to demonstrate the validity of the proposed control format.