Tunable wetting surfaces are widely manifested in nature and highly desirable for applications like droplet manipulation, realized by tailoring chemical, morphological, and mechanical attributes. While microfluidics enables programmable development of conventional materials to compete with smart responsive materials through innovative network-structured designs, wettability tuning remains open-loop due to the lack of compatible sensing techniques for such architectures. Here, we develop a closed-loop tunable wetting surface using conventional materials that integrates network-structured programmable regulation with self-sensing perception. For regulation, the surface enables individual morphology programming and free wettability regulation at droplet impact via network-structured microfluidic chambers, featuring a compact 2log 2 N valve configuration for N× N structures. For perception, each structure’s wetting state at droplet impact is decoupled and perceived via network-structured solid-liquid triboelectrification, demonstrating an optimized N/2 electrode configuration for N× N structures with low relative errors of 13.3% for velocity and 3.2% for position. Such perception-regulation integration enables closed-loop control for tunable wettability at droplet impact, which is demonstrated by directed droplet mixing. This study not only advances network-structured sensing technology for solid-liquid interface triboelectrification but also paves the way for closed-loop tunable wetting surfaces, with potential applications in chemical and biological micro-reactions.