Conference Paper

A Novel Hybrid System for Dynamic Control.

DOI: 10.1007/11903697_77 Conference: Simulated Evolution and Learning, 6th International Conference, SEAL 2006, Hefei, China, October 15-18, 2006, Proceedings
Source: DBLP

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.

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