Data-Driven Event-Triggered Output Regulation of Networked Inductive Power Transfer Systems: An Input-Output Data Approach

This article introduces a data-driven output regulation approach for networked inductive power transfer (IPT) systems considering communication delays and sampling noises. Diverging from mainstream identification-based methods that often disregard noise information, our methodology provides a model-free controller design approach exploiting noisy input-output (I/O) data. The main contributions are threefold. First, we propose an I/O data-driven parameterization framework tailored for scenarios with noisy data. Second, an I/O data-based event-triggering mechanism (ETM) is proposed to alleviate communication burdens. Finally, a concise co-designing event-triggered control procedure is derived to ensure the stability of delayed I/O systems in terms of data-based linear matrix inequalities. The robustness and efficacy of our proposal are validated through experiments involving constant voltage regulation of IPT systems, considering communication delays and parameter fluctuations.