Description:
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
