In recent trends, artificial intelligence techniques (neural networks, fuzzy logic, and genetic algorithm) are increasingly used in monitoring and detecting faults in electric machines. Such techniques require a minimum of intelligent configuration without any modeling.
This approach to set theory was not applied to control systems until the 70’s due to insufficient small-computer capability prior to that time. Professor Zadeh reasoned that people do not require precise, numerical information input, and yet they are capable of highly adaptive control.
If feedback controllers could be programmed to accept noisy imprecise input, they would be much more effective and perhaps easier to implement.