What Is Neural Control?

Neural control, neural network-based control is called neural network control (NNC), referred to as neural control (NC--Newrocontrol). This new word was first used in the international automatic magazine "Automatica" No. 11 in 1994, and the earliest source was the 1992 monograph "Neurocontrol" by H. Tolle and E. Ersu. Neural network-based intelligent simulation for control is an important form of intelligent control. It has developed rapidly in recent years.

Neural control

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Neural control, control based on neural network is called

Neural network-based control is called

According to the above definition, the role of neural networks in control can be divided into the following types:

1. Models that act as objects in various control structures based on precision models.

2. Act as the controller directly in the feedback control system.

3. It plays the role of optimized calculation in traditional control systems.

4. In the integration with other intelligent control methods and optimization algorithms, such as fuzzy control / expert research and genetic algorithms, it provides non-parametric object models, optimized parameters, inference models, and fault diagnosis.