This paper discusses a numerical method based on Least Squares Support Vector Machines (LS-SVMs) for solving linear time varying initial and boundary value problems in Differential Algebraic Equations (DAEs). The method generates a closed form (model-based) approximate solution. The results of numerical experiments on different systems with index from 0 to 3, are presented and compared with analytic solutions to confirm the validity and applicability of the proposed method. (C) 2012 Elsevier Ltd. All rights reserved.
- Least squares support vector machines
- Descriptor systems
- Closed form approximate solution
- DIFFERENTIAL-ALGEBRAIC EQUATIONS