Fusion Control of Flexible Logic Control and Neural Network

Abstract EN

Based on the basic physical meaning of error E and error variety EC, this paper analyzes the logical relationship between them and uses Universal Combinatorial Operation Model in 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 Zero-level Universal Combinatorial Operation in 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.