Robust control of nonlinear system using difference signals and multiple competitive associative nets. (English)
Lu, Bao-Liang (ed.) et al., Neural information processing. 18th international conference, ICONIP 2011, Shanghai, China, November 13‒17, 2011. Proceedings, Part III. Berlin: Springer (ISBN 978-3-642-24964-8/pbk). Lecture Notes in Computer Science 7064, 9-17 (2011).
Summary: This paper describes a robust control method using difference signals and multiple competitive associative nets (CAN2s). Using difference signals of a plant to be controlled, the CAN2 is capable of leaning piecewise Jacobian matrices of nonlinear dynamics of the plant. By means of employing the GPC (generalized predictive controller), a robust control method to switch multiple CAN2s to cope with plant parameter change is introduced. We show the effectiveness of the present method via numerical experiments of a crane system.