✦ Intelligent Event-Triggered Control for Networked Systems and Its Applications ✦

With the deep integration of cyberspace and physical processes, networked systems have become a fundamental infrastructure for modern intelligent industries, including smart manufacturing, intelligent transportation, smart grids, autonomous vehicles, aerospace systems, robotic networks, and the Industrial Internet of Things. While offering advantages such as flexibility, scalability, and cost efficiency, they face significant challenges including limited communication bandwidth, network-induced delays, packet losses, stochastic disturbances, and cyber-attacks. To address these constraints, Event-Triggered Control (ETC) has emerged as an effective resource-aware paradigm, reducing communication and computation loads by updating control actions only when necessary. Meanwhile, practical networked systems often operate in uncertain environments with abrupt changes in communication quality, network topology, or operating conditions—phenomena naturally modeled by Markov jump systems, switching systems, and hidden Markov models. Integrating ETC with stochastic switching systems enhances adaptability and resilience under random variations. Recent advances in artificial intelligence, including data-driven control, reinforcement learning, and neural networks, have further enabled intelligent event-triggered mechanisms without requiring precise mathematical models. Their combination with Markov jump systems offers new opportunities for autonomous and adaptive control under uncertain dynamics and partially known transition probabilities. Given the increasing prevalence of cyber-attacks such as denial-of-service and false-data injection, resilient and secure event-triggered control has become a critical research frontier.

This Special Issue invites contributions on theoretical advances, methodological developments, and applications in intelligent event-triggered control for networked systems, with particular interest in learning-based methods, stochastic switching systems, and cyber-security.