Data-driven co-design of event-triggered schemes and switching control for discrete-time switched affine systems with...

This paper addresses the co-design problem of event-triggered control, feedback control law, and switching rules for discrete-time switched affine systems under unknown disturbances, from both model-based and data-driven perspectives. The main contribution is a unified framework that yields single LMI formulations applied to both model-based and data-driven settings and guarantees a tunable convergence region under the proposed switching strategies. For the model-based case, sufficient conditions are established for the co-designed control to ensure the practical exponential stabilization of the system. The convergence region can be tuned via parameters to actively compensate for disturbance effects. For the model-free scenario, a data-driven counterpart is developed, featuring a novel switching rule that eliminates the need for an explicit system model and improves computational efficiency. Within this setup, the event-triggered mechanism, switching rule, and control law are jointly synthesized by solving a single LMI, greatly simplifying the implementation. Simulations conducted on a DC-DC boost converter confirm the effectiveness of the proposed method in enhancing resource efficiency while maintaining system performance.