无线网络化控制系统（WNCS）将无线通信技术与控制系统深度融合，成为物联网（IoT）、工业物联网（IIoT）及触觉互联网（TI）的重要组成部分。系统性地讨论了WNCS的基本架构、关键组成和主要性能指标，并深入分析了应对延迟、数据包丢失和能耗等挑战的先进控制算法，包括模型预测控制（MPC）、鲁棒控制、自适应控制及基于事件触发的控制（ETC）。总结了WNCS最新研究进展，如延迟、数据速率和可靠性之间的权衡，带有可变数据包长度的无线反馈控制，无编码数据传输，最优下行−上行调度，实时远程估计与混合自动重传请求（HARQ），空中计算与优化，远程状态估计的稳定性条件，深度学习联合估计−控制−调度。展望了WNCS未来发展方向，如5G、边缘计算和人工智能（AI）技术在WNCS中的应用，包括跨层设计、资源优化和安全性增强。研究旨在提供系统全面的技术指导和设计理念，以推动WNCS在工业自动化、智能基础设施等领域的广泛应用。

Wireless Networked Control Systems (WNCS) integrate wireless communication technologies with control systems, becoming an essential part of the Internet of Things (IoT), Industrial Internet of Things (IIoT), and Tactile Internet (TI). This paper systematically discusses the basic architecture, key components, and main performance metrics of WNCS. It also provides an in-depth analysis of advanced control algorithms developed to address challenges such as latency, packet loss, and energy consumption. These algorithms include Model Predictive Control (MPC), Robust Control, Adaptive Control, and Event-Triggered Control (ETC). Recent advancements in WNCS research are summarized, covering topics such as the trade-offs between latency, data rate, and reliability, wireless feedback control with variable packet lengths, uncoded data transmission, optimal downlink-uplink scheduling, real-time remote estimation, Hybrid Automatic Repeat Request (HARQ), air computing and optimization, stability conditions for remote state estimation, and the integration of deep learning for joint estimation, control, and scheduling. The paper also explores the future directions of WNCS development, including the application of 5G, Edge Computing, and Artificial Intelligence (AI) technologies, with a focus on cross-layer design, resource optimization, and enhanced security. The research provides comprehensive technical guidance and design concepts to drive the widespread adoption of WNCS in industrial automation, smart infrastructure, and beyond.