Difference between revisions of "Control theory"
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* [[Neural networks]] | * [[Neural networks]] | ||
* [[Predator-prey interaction | * [[Predator-prey interaction | ||
| − | * [[Gene expression | + | * [[Gene expression]] |
* [[Production theory]] | * [[Production theory]] | ||
Revision as of 05:47, 8 February 2016
Control theory is an interdisciplinary branch of engineering and mathematics that deals with the behavior of dynamical systems with inputs, and how their behavior is modified by feedback.
Description
The usual objective of control theory is to control a system, often called the plant, so its output follows a desired control signal, called the reference, which may be a fixed or changing value.
To do this a controller is designed, which monitors the output and compares it with the reference. The difference between actual and desired output, called the error signal, is applied as feedback to the input of the system, to bring the actual output closer to the reference.
Some topics studied in control theory are stability (whether the output will converge to the reference value or oscillate about it), controllability and observability.
Block diagrams
Extensive use is usually made of a diagrammatic style known as the block diagram.
The transfer function, also known as the system function or network function, is a mathematical representation of the relation between the input and output based on the differential equations describing the system.
Applications
As the general theory of feedback systems, control theory is useful wherever feedback occurs.
Control theory has applications in a wide range of fields, including:
- Physiology
- Electronics
- Climate modeling
- Machine design
- Ecosystems
- Navigation
- Neural networks
- [[Predator-prey interaction
- Gene expression
- Production theory
