In this paper an algorithm is implemented for the control of uncertain
nonlinear dynamical systems. The control algorithm is adaptive and co
nsists of two phases. First, a system identification phase is implemen
ted to develop a predictive model of the system based on its observed
behavior. Second, a controller is designed to steer the predicted syst
em response into a desired configuration. The control strategy to be p
resented in this paper is related to the well-known concepts of slidin
g mode control and variable structure control. Furthermore, the implem
entation of this control strategy utilizing smart materials is also ad
dressed. Numerical examples are presented for the trajectory tracking
and stabilization of uncertain nonlinear dynamical systems. Control st
rategies based on externally powered actuators and adaptive components
are considered.