On neural network topology design for nonlinear control

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4390, Issue , 2001, Pages 214-223

  Haecker, Jens ^a   Rudolph, Stephan ^a  

^a UNIVERSITY OF STUTTGART   (Germany)

Author keywords

Dimensional analysis; Engineering principles; Exact input output linearization; Laplace transform; Modular neural networks

Indexed keywords

IDENTIFICATION (CONTROL SYSTEMS); LAPLACE TRANSFORMS; NONLINEAR CONTROL SYSTEMS; TOPOLOGY;

MODULAR NEURAL NETWORKS;

NEURAL NETWORKS;

EID: 0034941602     PISSN: 0277786X     EISSN: None     Source Type: Journal    
DOI: 10.1117/12.421173     Document Type: Article

References (22)

1. Multilayer feedforward networks are universal function approximators
2. On a genetic algorithm for the selection of optimally generalizing neural network topologies
3. On topology, size and generalization of non-linear feed-forward neural networks
4. Neural networks for control systems - A survey
5. Identification and control for dynamic systems using neural networks
6. Neural network correspondencies of engineering principles