A Novel Hybrid System for Dynamic Control.

Conference PaperinLecture Notes in Computer Science · January 2006with5 Reads
Impact Factor: 0.51 · DOI: 10.1007/11903697_77 · Source: DBLP
Conference: Simulated Evolution and Learning, 6th International Conference, SEAL 2006, Hefei, China, October 15-18, 2006, Proceedings

    Abstract

    In this paper we propose a hybrid model which includes both first principles differential equations and a least squares support
    vector machine (LS-SVM). It is used to forecast and control an environmental process. This inclusion of the first principles
    knowledge in this hybrid model is shown to improve substantially the stability of the model predictions in spite of the unmeasurability
    of some of the key parameters. Proposed hybrid model is compared with both a hybrid neural network(HNN) as well as hybrid
    neural network with extended kalman filter(HNN-EKF). From experimental results, proposed hybrid model shown to be far superior
    when used for extrapolation compared to HNN and HNN-EKF.