Control engineering practice

AGRICULTURE, NATURAL RESOURCES & THE ENVIRONMENT

agricultural automation

building automation

civil engineering

environmental engineering

forest products and lumber

mining

waste processing
BIOTECHNOLOGICAL & MEDICAL PROCESS CONTROL

bioengineering

biological processing

biomedical engineering

biotechnology

fermentation

pharmaceuticals

sewage treatment
PROCESS CONTROL

cement industry

chemical processing

fine chemical production

food processing

metallurgy/metal processing

mineral processing

oil and gas production

petrochemicals

pulp & paper processing
INFORMATION TECHNOLOGY & ELECTRONICS

communications

consumer electronics

electronics

medical instrumentation

scientific instrumentation

ENERGY & UTILITIES

energy generation and transmission

power generation and distribution

power plants

electricity

gas

coal

nuclear energy

wind power

alternative energy sources

water
MANUFACTURING & PRODUCTION

factory automation

machine-tool industry

manufacturing industries

measurement & instrumentation

mechanical processing/manufacturing

robotics

automobile industry
DEFENCE & AEROSPACE

aerospace

air traffic control

avionics

defence industries

command, control and information systems
TRANSPORTATION

automotive engineering

autonomous vehicles

intelligent highway systems

marine process engineering

marine systems and ship automation

materials handling/transportation

rail, subways & monorails

transportation systems

vehicles

COMPUTING TECHNIQUES

architectures and algorithms

CAE methods and tools

computer networking

decentralised control

digital signal processing

distributed control

distributed processing

embedded system design (integrated design of real-time control systems)

filtering

industrial communications

information processing

microprocessor/computer developments

parallel processing

real-time & distributed computing

software design, verification, safety, etc.

software engineering techniques

telematics
CONTROL TECHNOLOGIES & DESIGN METHODS

computer-aided control-system design

identification & estimation

modelling of dynamic & discrete systems

simulation

adaptive control

auto-tuning

classical control

discrete event systems

internal model control

model-based control

model-predictive control

nonlinear control

optimal control

predictive control

robust control

sliding-mode control

statistical process control

stochastic control
SYSTEMS INTEGRATION

enterprise integration

hybrid systems

large-scale systems

low-cost automation

project management

scheduling

systems engineering
HUMAN-SYSTEM INTERFACES

engineering ethics

human-computer integration

human factors/ergonomics

human-machine systems

social impacts of technology
DIAGNOSTICS & SAFETY

diagnostics

emergency and supervision

failure detection

fault
detection & diagnosis
handling
recognition
tolerance

protection

safety and reliability

safety engineering

supervision

testing procedures
AI-BASED TECHNIQUES

agents

expert systems

fuzzy systems

fuzzy-neural systems

genetic algorithms

heuristic control

intelligent control

knowledge engineering

machine learning

neural networks

wavelet techniques

intelligent components & instruments

intelligent sensors

sensor fusion

speech recognition

vision & image processing

pattern recognition
ROBOTICS, MECHATRONICS & AUTONOMOUS SYSTEMS

autonomous systems

autonomous vehicles

mechatronics

robotics
SYSTEM COMPONENTS

actuators

controllers/processors

electromechanical components

hydraulic and pneumatic components

instrumentation

intelligent components and instruments

measurement techniques

power electronics

sensors

signal processing (DSPs)

superconductors

Please return this form to:

Prof. A. H. Glattfelder, Editor-in-Chief, Control Engineering Practice,

by email to ifacjcep@aut.ee.ethz.ch

or per fax to ETH Zurich, Automatic Control Laboratory, Fax +41 1 632 1211