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 ... click here for full Aims & Scope
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.
For more details on the International
Federation of Automatic Control (IFAC), visit their home page at 
http://www.ifac-control.org
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Editor-in-Chief
I.K. Craig
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