For a class of single-input single-output continuous-time nonlinear systems, a multilayer neural network-based controller that feedback-linearizes the system is presented. Control action is used to achieve tracking performance for a state-feedback linearizable but unknown nonlinear system. The contr
β¦ LIBER β¦
Control Sensor Linearization Using Artificial Neural Networks
β Scribed by G. L. Dempsey; J. S. Alig; N. L. Alt; B. A. Olson; D. E. Redfield
- Book ID
- 110260092
- Publisher
- Springer
- Year
- 1997
- Tongue
- English
- Weight
- 466 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0925-1030
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This paper introduces an alternative method artificial neural networks (ANN) used to obtain numerical solutions of mathematical models of dynamic systems, represented by ordinary differential equations (ODEs) and partial differential equations (PDEs). The proposed trial solution of differential equa