A reproducing kernel Hilbert space (RKHS) approach to the optimal modeling, identification, and design of nonlinear adaptive systems

IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium, AS-SPCC 2000

Volumn , Issue , 2000, Pages 42-47

  De Figueiredo, R J P ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; HILBERT SPACES; NEURAL NETWORKS; SIGNAL PROCESSING; VECTOR SPACES;

BEST APPROXIMATIONS; LINEAR COMBINATIONS; MEAN SQUARE ESTIMATION; MODEL PARAMETERS; NON-LINEAR ESTIMATION; NONLINEAR FUNCTIONS; ORTHOGONAL PROJECTION METHOD; REPRODUCING KERNEL HILBERT SPACES;

ADAPTIVE CONTROL SYSTEMS;

EID: 65749092162     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASSPCC.2000.882444     Document Type: Conference Paper

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