This work proposes a strategy for synthesizing event generators to minimize the number of transmissions over the network. The application considers discrete-time systems with saturating actuators and time-varying linear parameters (LPV). The LPV saturating system is controlled by state feedback with parameter-dependent gain and communication via the network. An error criterion between the controller and system parameters is used for new transmissions. The novelty of the approach lies in the direct optimization of the transmission criterion, which is done indirectly in traditional (convex) methods. For this purpose, algorithms with convex certification steps are presented, which are capable of producing better event generators. In the nonlinear stage, the evolutionary differential optimization method is used. Computational experiments were conducted to evaluate the performance of the proposed approach using an LPV system subject to input saturation, illustrating the proposal's effectiveness.
