Fusion control of flexible logic control and neural network (Q1719379)

Summary: Based on the basic physical meaning of error \(E\) and error variety \(\operatorname{EC}\), this paper analyzes the logical relationship between them and uses \textit{Universal Combinatorial Operation Model} in \textit{Universal Logic} to describe it. Accordingly, a flexible logic control method is put forward to realize effective control on multivariable nonlinear system. In order to implement fusion control with artificial neural network, this paper proposes a new neuron model of \textit{Zero-level Universal Combinatorial Operation} in \textit{Universal Logic}. And the artificial neural network of flexible logic control model is implemented based on the proposed neuron model. Finally, stability control, anti-interference control of double inverted-pendulum system, and free walking of cart pendulum system on a level track are realized, showing experimentally the feasibility and validity of this method.