Fusion Control of Flexible Logic Control and Neural Network

Abstract

Based on the basic physical meaning of errorEand error varietyEC, this paper analyzes the logical relationship between them and usesUniversal Combinatorial Operation ModelinUniversal Logicto 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 ofZero-level Universal Combinatorial OperationinUniversal 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.