Decentralized adaptive stabilization for interconnected systems with dynamic input–output and nonlinear interactions

This paper considers the problem of robust decentralized adaptive output feedback stabilization for a class of interconnected systems with dynamic input and output interactions and nonlinear interactions by using MT-filters and the backstepping design method. It is shown that the closed-loop decentralized system based on MT-filters is globally uniformly bounded, all the signals except for the parameter estimates can be regulated to zero asymptotically, and the L2L2 and L∞L∞ norms of the system outputs are also be bounded by functions of design parameters. The scheme is demonstrated by a simulation example.