Self-triggered control via dynamic high-gain scaling

This paper focuses on the construction of self-triggered state feedback laws. The approach followed is a high-gain approach. The event which triggers an update of the control law is based on an dynamical system in which the state is the high-gain parameter. This approach allows to design a control law ensuring convergence to the origin for nonlinear systems with triangular structure and a specific upper bound on the nonlinearities.