CONTROL ENGINEERING PRACTICE SCIE

中文简介

控制工程实践致力于满足工业从业者和工业相关学者和研究人员的需求。它发表论文，说明控制理论及其支持工具在所有可能的自动化领域的直接应用。因此，期刊只刊登了一些对先进控制技术的应用做出重大贡献的论文。通常预期应包括实际结果，但如果仅进行仿真研究，则有必要证明仿真模型是真实应用的代表。严格的理论论文将在控制工程实践的姊妹出版物自动中找到一个更合适的家。预计论文在技术水平方面具有创新性，并且足够详细，读者能够复制论文的主要结果（补充材料，包括数据集、表格、代码和任何相关互动材料，可从网站上获取和下载）。提出的方法的好处必须非常清楚，新技术必须与现有方法得到的结果进行比较和对比。此外，对设计过程和实现中可能发生的故障进行彻底的分析也是本文的一部分。控制工程实践的范围与IFAC的活动相匹配。最受欢迎的论文展示了自动化和控制在提高性能、质量、生产率、可持续性、资源和能源效率方面的贡献，以及系统和过程的可管理性，以造福人类，并与工业从业者有关。控制和自动化应用领域：?汽车系统?航空航天应用?海洋系统?智能运输系统和交通控制?自主车辆?机器人?人机系统?机电系统?科学仪器?微型和纳米系统?流体动力系统?燃气轮机和流体机械?机床?制造图灵技术与生产工程?物流?电力电子?电力驱动?物联网?通信系统?电力与能源系统?生物医学工程与医疗应用?生物系统与生物工艺?生物技术?化学工程?制浆与造纸加工?采矿、矿产和金属加工?水/气/油网络系统?环境工程?农业系统?食品工程?其他新兴控制应用适用方法、理论和技术：?建模、仿真和实验模型验证?系统识别和参数估计?观测器设计和状态估计?软测量?传感器融合?优化?自适应和鲁棒控制?学习控制?非线性控制?分布式参数系统控制?基于模型的控制技术?最优控制和模型预测控制?控制器调整?PID控制?前馈控制和轨迹规划?网络控制?随机系统?故障检测和隔离?诊断和监督?执行器和传感器设计?控制中的测量技术?软件工程技术?实时e和分布式计算?智能组件和仪器?控制体系结构和算法?实时算法?计算机辅助系统分析和设计?自动化系统的实现?机器学习?人工智能技术?离散事件和混合系统?生产计划和调度教育?自动化?数据挖掘?数据分析?性能监控?实验设计?其他新兴控制理论和相关技术

投稿网址：http://ees.elsevier.com/conengprac/

英文简介

Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice's sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper.The scope of Control Engineering Practice matches the activities of IFAC.Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.Fields of applications in control and automation:?Automotive Systems ?Aerospace Applications ?Marine Systems ?Intelligent Transportation Systems and Traffic Control ?Autonomous Vehicles ?Robotics ?Human Machine Systems ?Mechatronic Systems ?Scientific Instrumentation ?Micro- and Nanosystems ?Fluid Power Systems ?Gas Turbines and Fluid Machinery ?Machine Tools ?Manufacturing Technology and Production Engineering ?Logistics ?Power Electronics ?Electrical Drives ?Internet of Things ?Communication Systems ?Power and Energy Systems ?Biomedical Engineering and Medical Applications ?Biosystems and Bioprocesses ?Biotechnology ?Chemical Engineering ?Pulp and Paper Processing ?Mining, Mineral and Metal Processing ?Water/Gas/Oil Reticulation Systems ?Environmental Engineering ?Agricultural Systems ?Food Engineering ?Other Emerging Control ApplicationsApplicable methods, theories and technologies:?Modeling, Simulation and Experimental Model Validation ?System Identification and Parameter Estimation ?Observer Design and State Estimation ?Soft Sensing ?Sensor Fusion ?Optimization ?Adaptive and Robust Control ?Learning Control ?Nonlinear Control ?Control of Distributed-Parameter Systems ?Model-based Control Techniques ?Optimal Control and Model Predictive Control ?Controller Tuning ?PID Control ?Feedforward Control and Trajectory Planning ?Networked Control ?Stochastic Systems ?Fault Detection and Isolation ?Diagnosis and Supervision ?Actuator and Sensor Design ?Measurement Technology in Control ?Software Engineering Techniques ?Real-time and Distributed Computing ?Intelligent Components and Instruments ?Architectures and Algorithms for Control ?Real-time Algorithms ?Computer-aided Systems Analysis and Design ?Implementation of Automation Systems ?Machine Learning ?Artificial Intelligence Techniques ?Discrete Event and Hybrid Systems ?Production Planning and Scheduling ?Automation ?Data Mining ?Data Analytic ?Performance Monitoring ?Experimental Design ?Other Emerging Control Theories and Related Technologies