  We propose a technique for the design and analysis of decentralized
adaptation algorithms in interconnected dynamical systems. Our technique does
not require Lyapunov stability of the target dynamics and allows nonlinearly
parameterized uncertainties. We show that for the considered class of systems,
conditions for reaching the control goals can be formulated in terms of the
nonlinear L_2-gains of target dynamics of each interconnected subsystem.
Equations for decentralized controllers and corresponding adaptation algorithms
are also explicitly provided.
