智能分布式生产控制

Comparison of Intelligent Approaches for Cycle Time Prediction in Injection Moulding of a Medical Device Product

Injection moulding is an increasingly automated industrial process, particularly when used for the production of high-value precision components such as polymeric medical devices. In such applications, achieving stringent product quality demands whilst also ensuring a highly efficient process can be challenging. Cycle time is one of the most critical factors which directly affects the throughput rate of the process and hence is a key indicator of process efficiency. In this work, we examine a production data set from a real industrial injection moulding process for manufacture of a high precis…

Securing NOMA Networks by Exploiting Intelligent Reflecting Surface

This paper investigates the security enhancement of an intelligent reflecting surface (IRS) assisted non-orthogonal multiple access (NOMA) network, where a distributed IRS enabled NOMA transmission framework is proposed to serve users securely in the presence of a passive eavesdropper. Considering that eavesdropper's instantaneous channel state information (CSI) is challenging to acquire in practice, we utilize secrecy outage probability (SOP) as the security metric. A problem of maximizing the minimum secrecy rate among users, subject to the successive interference cancellation (SIC) decoding…

车辆字符串的分布式控制：在有限时间和安全规范下

Distributed control of vehicle strings under finite-time and safety specifications

本文研究了具有安全要求和有限时间规范的车辆串最优控制问题，提出了一种可证明正确的分布式控制算法，确保车辆在速度限制、加速度饱和和安全要求下满足有限时间规范，即使在通信故障时也能避免碰撞。

Analysis of Distributed Ledger Technologies for Industrial Manufacturing

In recent years, industrial manufacturing has undergone massive technological changes that embrace digitalization and automation towards the vision of intelligent manufacturing plants. With the aim of maximizing efficiency and profitability in production, an important goal is to enable flexible manufacturing, both, for the customer (desiring more individualized products) and for the manufacturer (to adjust to market demands). Manufacturing-as-a-service can support this through manufacturing plants that are used by different tenants who utilize the machines in the plant, which are offered by di…

四轮转向车辆横向跟踪控制与智能轮胎

Lateral tracking control of all-wheel steering vehicles with intelligent tires

本文提出了一种基于模型的横向跟踪控制策略，结合分布式轮胎动力学与智能轮胎技术，用于四轮转向车辆，以抑制低速微 shimmy 现象并实现路径跟踪。

基于逆模型的模型强化学习在模块化生产系统分布式优化中的应用

Distributed Optimization of Modular Production Systems using Model-based Reinforcement Learning with Inverse Models

本文提出一种基于逆模型的模型强化学习框架，用于模块化制造系统的分布式优化，通过分离执行与状态动力学，提升训练速度与性能，尤其在离策略算法中效果显著。

基于物联网与机器学习的智能农业温室控制系统

Intelligent Agricultural Greenhouse Control System Based on Internet of Things and Machine Learning

针对传统温室农业依赖经验规则、调控缺乏个性化导致资源低效的问题，本研究融合物联网与机器学习技术，构建智能温室控制系统，通过实时监测环境参数精准调控，提升农业生产效率与可持续性。

Model Embedded DRL for Intelligent Greenhouse Control

Greenhouse environment is the key to influence crops production. However, it is difficult for classical control methods to give precise environment setpoints, such as temperature, humidity, light intensity and carbon dioxide concentration for greenhouse because it is uncertain nonlinear system. Therefore, an intelligent close loop control framework based on model embedded deep reinforcement learning (MEDRL) is designed for greenhouse environment control. Specifically, computer vision algorithms are used to recognize growing periods and sex of crops, followed by the crop growth models, which ca…