A new method for the analysis of neural reference model control

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn 2, Issue , 1997, Pages 739-743

  Wigbers, M ^a   Riedmiller, M ^b  

^a Neurotec Hochtechnologie   (Germany)

^b UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMIC BACKPROPAGATION; GRADIENT ALGORITHM; INDIRECT ADAPTIVE CONTROL; INPUT OUTPUT MODEL; LINEARIZATION TECHNIQUE; NEURAL NETWORK TECHNIQUES; REFERENCE MODELING; THEORETICAL ASPECTS;

BACKPROPAGATION ALGORITHMS; MODEL REFERENCE ADAPTIVE CONTROL; NEURAL NETWORKS; NONLINEAR DYNAMICAL SYSTEMS; ADAPTIVE CONTROL SYSTEMS; ALGORITHMS; BACKPROPAGATION; CONTROL SYSTEM ANALYSIS; CONTROLLABILITY; LEARNING SYSTEMS; LINEARIZATION; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; POLES AND ZEROS;

CONTROLLERS; FEEDFORWARD NEURAL NETWORKS;

MODEL REFERENCE ADAPTIVE CONTROL (MRAC); NEURAL REFERENCE MODEL CONTROL;

EID: 0030691486     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNN.1997.616114     Document Type: Conference Paper

References (8)

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