Intelligent control
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All control techniques that use various soft computing approaches like "neural networks", "fuzzy logic", "machine learning", "evolutionary and genetic algorithms" can be put into the class of intelligent control.
So we can subdivide intelligent control into following major sub-domains:
- Neural network controllers
- Fuzzy controllers
- Expert controllers
- Genetic controllers
- Cognitive controllers
- Conscious controllers
New control techniques are created continuously as new models of intelligent behavior are created and computational methods developed to support them.
Neural network controllers
Neural networks have been used to solve problems in almost all spheres of science of technology. Neural network control basically involves two steps:
- System identification
- Control
It has been shown that a feedforward network with nonlinear, continuous and differentiable activation functions have universal approximation capability. Recurrent networks have also been used for system identification. Given, a set of input-output data pairs, system identification aims to form a mapping among these data pairs. Such a network is supposed to capture the dynamics of a system.