Outline of control engineering

Overview of and topical guide to control engineering

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

  • 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

  • Complex analysis
  • Differential equations
  • Linear algebra
  • Mathematical system theory
  • Matrices
  • Real analysis
  • Variational calculus

System properties

Digital control

Advanced techniques

Tools

Controllers

Control applications

Control engineering organizations

Publications about control engineering

Persons influential in control engineering

See also

References

External links

Control engineering at Wikipedia's sister projects
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  • Quotations from Wikiquote
  • Texts from Wikisource
  • Textbooks from Wikibooks
  • Resources from Wikiversity
  • Control Labs Worldwide
  • The Michigan Chemical Engineering Process Dynamics and Controls Open Textbook
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