Internal model control based on a neurofuzzy system for network applications. a case study on the high-performance drilling process

IEEE Transactions on Automation Science and Engineering

Volumn 6, Issue 2, 2009, Pages 367-372

  Martin, Agustín Gajate ^a   Guerra, Rodolfo E Haber ^b  

^a Consejo Superior de Investigaciones Científicas   (Spain)

^b UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

Author keywords

High performance drilling; Internal model control; Networked control; Neurofuzzy systems

Indexed keywords

ADAPTIVE-NETWORK-BASED FUZZY INFERENCE SYSTEMS; COMMUNICATION NETWORKS; CUTTING FORCES; DRILLING PROCESS; EXPERIMENTAL DATUM; FEED RATES; HIGH-PERFORMANCE DRILLING; INPUT/OUTPUT; INPUT/OUTPUT DATUM; INTERNAL MODEL CONTROL; INVERSE DYNAMICS; INVERSE MODELS; MODELING AND CONTROLS; NETWORK APPLICATIONS; NETWORK-BASED; NETWORKED APPLICATIONS; NETWORKED CONTROL; NEURO-FUZZY MODELS; NEUROFUZZY SYSTEMS; P-I-D CONTROLS; PROCESS UNCERTAINTIES; REAL-TIME APPLICATIONS;

APPLICATIONS; FUZZY INFERENCE; FUZZY SYSTEMS; INVERSE PROBLEMS; MODEL PREDICTIVE CONTROL; PROPORTIONAL CONTROL SYSTEMS;

WELL DRILLING;

EID: 64049100191     PISSN: 15455955     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASE.2008.2006686     Document Type: Article

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