105 Robustness and Fault-Tolerance of Integrated Cubic Neural Network Intelligent Control Method

Abstract

This study aims at establishing a robust intelligent control method with higher control performance and wider applicable region. In particular, this study deals with a nonlinear control problem. In this study, the dynamical energy principle is embedded into the integrator of Cubic Neural Network (CNN). The proposed CNN is applied to a control problem of a swung up and inverted pendulum. The performance of the proposed CNN are verified theoretically and experimentally compared with the sliding mode control techniques.