A two level prediction algorithm for non-linear systems
β Scribed by Madan G. Singh; Mohammed Hassan
- Publisher
- Elsevier Science
- Year
- 1977
- Tongue
- English
- Weight
- 132 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0005-1098
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β¦ Synopsis
In this note the recent algorithm of Hassan and Singh is modified to provide a more powerful approach to the hierarchical optimisation of non-linear systems with quadratic performance indices. The new approach does not use the quadratic penalty terms in the cost function. This allows convergence over a longer time horizon and numerical studies on the synchronous machine example of Hassan and Singh show that the modified algorithm also provides faster convergence.
CONSIDER the non-linear system described by * = f(x, u, t) (I)
π SIMILAR VOLUMES
A new two level method is developed for the optimization of non-linear dynamical systems with a quadratic cost function. This method used an expansion around the equilibrium point of the system to fix the second and higher order terms. These terms are compensated for iteratively at the second level
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