控制工程實踐致力于滿足工業從業者和工業相關學者和研究人員的需求。它發表論文，說明控制理論及其支持工具在所有可能的自動化領域的直接應用。因此，期刊只刊登了一些對先進控制技術的應用做出重大貢獻的論文。通常預期應包括實際結果，但如果僅進行仿真研究，則有必要證明仿真模型是真實應用的代表。嚴格的理論論文將在控制工程實踐的姊妹出版物自動中找到一個更合適的家。預計論文在技術水平方面具有創新性，并且足夠詳細，讀者能夠復制論文的主要結果（補充材料，包括數據集、表格、代碼和任何相關互動材料，可從網站上獲取和下載）。提出的方法的好處必須非常清楚，新技術必須與現有方法得到的結果進行比較和對比。此外，對設計過程和實現中可能發生的故障進行徹底的分析也是本文的一部分?？刂乒こ虒嵺`的范圍與IFAC的活動相匹配。最受歡迎的論文展示了自動化和控制在提高性能、質量、生產率、可持續性、資源和能源效率方面的貢獻，以及系統和過程的可管理性，以造福人類，并與工業從業者有關?？刂坪妥詣踊瘧妙I域：?汽車系統?航空航天應用?海洋系統?智能運輸系統和交通控制?自主車輛?機器人?人機系統?機電系統?科學儀器?微型和納米系統?流體動力系統?燃氣輪機和流體機械?機床?制造圖靈技術與生產工程?物流?電力電子?電力驅動?物聯網?通信系統?電力與能源系統?生物醫學工程與醫療應用?生物系統與生物工藝?生物技術?化學工程?制漿與造紙加工?采礦、礦產和金屬加工?水/氣/油網絡系統?環境工程?農業系統?食品工程?其他新興控制應用適用方法、理論和技術：?建模、仿真和實驗模型驗證?系統識別和參數估計?觀測器設計和狀態估計?軟測量?傳感器融合?優化?自適應和魯棒控制?學習控制?非線性控制?分布式參數系統控制?基于模型的控制技術?最優控制和模型預測控制?控制器調整?PID控制?前饋控制和軌跡規劃?網絡控制?隨機系統?故障檢測和隔離?診斷和監督?執行器和傳感器設計?控制中的測量技術?軟件工程技術?實時e和分布式計算?智能組件和儀器?控制體系結構和算法?實時算法?計算機輔助系統分析和設計?自動化系統的實現?機器學習?人工智能技術?離散事件和混合系統?生產計劃和調度教育?自動化?數據挖掘?數據分析?性能監控?實驗設計?其他新興控制理論和相關技術

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