A transductive neuro-fuzzy controller: Application to a drilling process

IEEE Transactions on Neural Networks

Volumn 21, Issue 7, 2010, Pages 1158-1167

  Gajate, Agustn ^a   Haber, Rodolfo E ^a   Vega, Pastora I ^b   Alique, Jos R ^a  

^a CENTRE FOR AUTOMATION AND ROBOTICS   (Spain)

^b UNIVERSITY OF SALAMANCA   (Spain)

Author keywords

High performance drilling; internal model control (IMC); neuro fuzzy inference; transductive modeling

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; COMPARATIVE STUDIES; COMPLEX PROCESSES; COMPLEX SYSTEMS; CONTROL FORCE; CONTROL PROBLEMS; CUTTING FORCES; DESIGN AND APPLICATION; DRILLING FORCES; DRILLING PROCESS; DYNAMIC MODELING; INPUT/OUTPUT DATUM; INTERNAL MODEL CONTROL; INVERSE DYNAMICS; NEURO-FUZZY; NEURO-FUZZY CONTROLLER; NEURO-FUZZY INFERENCE; NEURO-FUZZY INFERENCE SYSTEMS; NEURO-FUZZY MODEL; NEUROFUZZY CONTROL; NEUROFUZZY SYSTEM; NUMBER OF CLUSTERS; PERFORMANCE INDICES; PROCESS COMPLEXITY; REAL-TIME APPLICATION; REASONING METHODS; SYSTEM-BASED; TIME VARYING; TOOL BREAKAGE; TOOL WEAR; TRANSIENT RESPONSE;

COMPUTATIONAL EFFICIENCY; FUZZY CONTROL; FUZZY SETS; LARGE SCALE SYSTEMS; MATHEMATICAL MODELS; MODEL PREDICTIVE CONTROL; PROPORTIONAL CONTROL SYSTEMS;

FUZZY INFERENCE;

ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; CLUSTER ANALYSIS; FUZZY LOGIC; HUMAN; NERVE CELL; PHYSIOLOGY;

ALGORITHMS; ANIMALS; CLUSTER ANALYSIS; FUZZY LOGIC; HUMANS; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); NEURONS;

EID: 77954550093     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2010.2050602     Document Type: Article

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