  Here, we study the ultimately bounded stability of network of mismatched
systems using Lyapunov direct method. We derive an upper bound on the norm of
the error of network states from its average states, which it achieves in
finite time. Then, we devise a decentralized compensator to asymptotically pin
the network of mismatched systems to a desired trajectory. Next, we design
distributed estimators to compensate for the mismatched parameters performances
of adaptive decentralized and distributed compensations are analyzed. Our
analytical results are verified by several simulations in a network of globally
connected Lorenz oscillators.
