Outline of control engineering
The following outline is provided as an overview of and topical guide to control engineering:
Control theory is an 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.
Branches
- Adaptive control
- Control Theory
- Digital 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
General Concepts
System Properties
- BIBO stability
- Controllability
- Exponential stability
- Input-to-state (ISS) stability
- Marginal stability
- Lyapunov stability (i.e., asymptotic stability)
- Negative feedback
- Observability
- Positive feedback
System Modeling
- Artificial neural networks
- First principles modeling
- Fourier transform
- Fuzzy Logic
- Laplace transform
- Least squares
- State observer
- System dynamics
- System identification
- Z-transform
Controllers
- Embedded controller
- Closed-loop controller
- Numerical control
- PID controller
- Programmable logic controller
Control Applications
- Distributed Control System
- Electric motors
- Industrial Control Systems
- Mechatronics
- Motion control
- Process Control
- Robotics
- Supervisory control (SCADA)
 | This article has not been added to any content categories. Please help out by adding categories to it so that it can be listed with similar articles. (November 2012) |