An algorithm for nonlinear systems modelling based on N-D function reconstruction
An algorithm for nonlinear systems modelling based on N-D function reconstruction
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- DOI: 10.1049/ic:19960013
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- Author(s): Source: IEE Colloquium on Multi-Dimensional Systems: Problems and Solutions, 1996 page ()
- Conference: IEE Colloquium on Multi-Dimensional Systems: Problems and Solutions
This paper proposes a new neurocontrol framework for modelling of deterministic nonlinear SISO systems. It is based on application of multidimensional (N-D) digital signal processing and sampling theory. The method substantially expands and improves the basic idea introduced by Sanner and Slotine (1992) and goes beyond it, resulting in a novel approach. (5 pages)
Inspec keywords: neurocontrollers; signal processing; sampled data systems; multidimensional systems; Fourier transforms; nonlinear systems
Subjects: Simulation, modelling and identification; Nonlinear control systems; Distributed parameter control systems; Information theory; Neurocontrol; Discrete control systems; Integral transforms
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