Journal Information
Control Engineering Practice
Impact Factor:

Call For Papers
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 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 industrial application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice's sister publication, Automatica. Control Engineering Practice papers will tend to be shorter, and relevant to industrial readers.

In addition to purely technical applications papers the journal carries papers on topics linked to the application of automation, including social effects, cultural aspects, project planning and system design, and economic and management issues.

The scope of Control Engineering Practice matches the activities of IFAC:

• Aerospace • Marine systems • Communication systems • Biomedical engineering • Pulp and paper processing • Environmental engineering • Scientific instrumentation • Transportation and vehicles • Power generation and other utilities • Mining, mineral and metal processing • Chemical and biotechnical process control • Manufacturing technology and production engineering

The journal covers all applicable technologies:

• Robotics • Identification • Signal processing • Project management • Autonomous vehicles • Powertrains • Computer networking • Modelling and simulation • Human-computer systems • Components and instruments • Adaptive and robust control • Electromechanical components • Model-based control techniques • Fault detection and diagnostics • Software engineering techniques • Hydraulic and pneumatic components • Real-time and distributed computing • Intelligent components and instruments • Architectures and algorithms for control • Computer-aided systems analysis and design • Software design, verification, safety, etc. • Artificial intelligence techniques, including fuzzy control neural networks and genetic algorithms.
Last updated by Dou Sun in 2019-12-04
Special Issues
Special Issue on Recent Technological Innovations in Automation and Control Systems for Marine Vehicles
Submission Date: 2020-03-30

With the rapid development of marine vehicles, a variety of surface and underwater equipment have emerged, such as surface vessels, unmanned underwater vehicles, profiling floats, underwater gliders, ocean wave energy converters and offshore floating wind turbines. On the one hand, from a control perspective, these equipment always work in an extremely complex environment where waves, wind and current exist, and the models of marine equipment always behaves nonlinearity and with coupling characteristics. Though these challenges are intractable, advanced automation and control methodologies have been promoting the development of marine technology. On the other hand, the information system tools are playing a major role in planning, navigation and safety of marine transportations. Therefore, integrating, developing and implementing new emerging information technologies with control systems methodologies would enhance safety of navigation and reduce the marine transportation costs. The primary objective of this Special Issue is to provide a forum for researchers and practitioners to exchange their latest theoretical and technological achievements and to identify critical issues and challenges for future investigation on the advanced automation and control techniques based on information system technologies in marine vehicles. The submitted papers are expected to bring up original ideas and potential contributions for theory and practice. However, topics include, but are not limited to, the following research areas: § Autonomous marine vehicles § Reliability and resilience control of marine vehicles § Dynamic positioning of marine vehicles § Path following control of marine vehicles § Finite/fixed-time control of marine vehicles § Backstepping control of marine vehicles § Sliding mode control of marine vehicles § Network-based control of marine vehicles § Formation and cooperative control of marine vehicles § Learning based control of marine vehicles § Estimation and filtering in marine vehicles § Intelligent control of marine vehicles § Fault diagnosis and fault-tolerant control of marine vehicles § Obstacle avoidance of marine vehicles § Underwater navigation techniques § Predictive motion control of marine vehicles § Soft sensor techniques in marine vehicles § Security of network and information systems in marine vehicles § Active disturbance rejection control (ADRC) of marine vehicles § Underwater docking control technique
Last updated by Dou Sun in 2019-12-22
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