Neural networks for linear control: an analysis
Warwick, K. (1996) Neural networks for linear control: an analysis. Mathematics and Computers in Simulation, 41 (1-2). pp. 29-37. ISSN 0378-4754
Full text not archived in this repository.
To link to this article DOI: 10.1016/0378-4754(95)00056-9
This paper considers the use of radial basis function and multi-layer perceptron networks for linear or linearizable, adaptive feedback control schemes in a discrete-time environment. A close look is taken at the model structure selected and the extent of the resulting parameterization. A comparison is made with standard, nonneural network algorithms, e.g. self-tuning control.
Repository Staff Only: item control page