Outline of control engineering
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The following outline is provided as an overview of and topical guide to control engineering:
Control engineering – engineering discipline that applies control theory to design systems with desired behaviors. The practice uses sensors to measure the output performance of the device being controlled and those measurements can be used to give feedback to the input actuators that can make corrections toward desired performance. When a device is designed to perform without the need of human inputs for correction it is called automatic control (such as cruise control for regulating a car's speed).
Branches
[edit | edit source]- Adaptive control
- Control theory – interdisciplinary branch of engineering and mathematics that deals with the behavior of dynamical systems. The usual objective of control theory is to calculate solutions for the proper corrective action from the controller that result in system stability.
- Digital control
- Energy-shaping control
- Fuzzy control
- Hybrid control
- Intelligent control
- Model predictive control
- Multivariable control
- Neural control
- Nonlinear control
- Optimal control
- Real-time control
- Robust control
- Stochastic control
Mathematical concepts
[edit | edit source]- Complex analysis
- Differential equations
- Linear algebra
- Mathematical system theory
- Matrices
- Real analysis
- Variational calculus
System properties
[edit | edit source]- Bode plot
- Block diagram
- Closed-loop transfer function
- Controllability
- Fourier transform
- Frequency response
- Laplace transform
- Negative feedback
- Observability
- Performance
- Positive feedback
- Root locus method
- Servomechanism
- Signal-flow graph
- State space representation
- Stability theory
- Steady state analysis & design
- System dynamics
- Transfer function
Digital control
[edit | edit source]- Discrete-time signal
- Digital signal processing
- Quantization
- Real-time software
- sampled data
- System identification
- Z transform
Advanced techniques
[edit | edit source]- Artificial neural networks
- Coefficient diagram method
- Control reconfiguration
- Distributed parameter systems
- Fractional-order control
- Fuzzy logic
- H-infinity loop-shaping
- Hankel singular value
- Kalman filter
- Krener's theorem
- Least squares
- Lyapunov stability
- Minor loop feedback
- Perceptual control theory
- State observer
- Vector control
Tools
[edit | edit source]Controllers
[edit | edit source]- Embedded controller
- Closed-loop controller
- Lead-lag compensator
- Numerical control
- PID controller
- Programmable logic controller
Control applications
[edit | edit source]- Automation and remote control
- Distributed control system
- Electric motors
- Industrial control systems
- Mechatronics
- Motion control
- Process Control
- Robotics
- Supervisory control (SCADA)
Control engineering organizations
[edit | edit source]- Control System Integrators Association
- International Federation of Automatic Control
Publications about control engineering
[edit | edit source]| [icon] | This section is empty. You can help by adding to it. (November 2014) |
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Persons influential in control engineering
[edit | edit source]See also
[edit | edit source]- Outline of automation
- Outline of engineering
- Outline of manufacturing
- Outline of production
- Outline of robotics
References
[edit | edit source]External links
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