Dynamic systems identification using Müntz function neural networks with distributed dynamics

TELSIKS 2005 - 7th International Conference on Telecommunications in Moderm Satellite, Cable and Broadcasting Services, Proceedings of Papers

Volumn 2, Issue , 2005, Pages 539-541

  Dankovic B ^a   Jovanovic Z ^a   Milojkovic M ^a  

^a Faculty of Electronic Engineering

Author keywords

Identification; M ntz; Neural network

Indexed keywords

IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; POLYNOMIAL APPROXIMATION;

DISTRIBUTED DYNAMICS; DYNAMIC SYSTEMS IDENTIFICATION; NETWORK DESIGN;

NEURAL NETWORKS;

EID: 33846235091     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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3. Ayoubi M., Isermann R., "Radial Basis Function Networks with Distributed Dynamics for Nonlinear Dynamic Systems Identification", EUFIT, Aachen, Germany, 1995.
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6. B. Dankovic , G. V. Milovanovic , S. Rancic, "Malmquist and Muntz Orthogonal systems and applications, in Th. M. Rassias (Ed.), Inner Product spaces and Applications, Addison-Wesley, Harlow, pp. 22-41,1997.
7. S. D. Marinkovic, B. Dankovic, M. S. Stankovic, P. M. Rajkovic, "Orthogonality of some Sequences of the Rational Functions and the Müntz polynomials", Journal of Computational and Applied Mathematics, pp 163, Elsevier, 2004.