{"id":"W2161852550","doi":"10.1109/fuzz.2001.1009099","title":"Adaptive fuzzy control for a class of discrete-time nonlinear systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); Nonlinear system; Adaptive control; Fuzzy control system; Tracking error; Fuzzy logic; Discrete time and continuous time; Class (philosophy); Projection (relational algebra); Computer science; Variable (mathematics); Mathematics; Variable structure control; Lyapunov function; Mathematical optimization; Control (management); Sliding mode control; Algorithm; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002065181,0.0003637815,0.0002825061,0.0002177904,0.0003357682,0.00060212,0.0004692372,0.0005297182,0.0009813583],"category_scores_gemma":[0.0005179914,0.00008685987,0.0002221262,0.0002712224,0.0004308739,0.0003341483,0.0002600595,0.0006551766,0.0001495583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003466655,"about_ca_system_score_gemma":0.0003377752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003791681,"about_ca_topic_score_gemma":0.002822614,"domain_scores_codex":[0.999856,0.00001939344,0.000007561864,0.00003035351,0.00007141348,0.00001527811],"domain_scores_gemma":[0.999887,0.00003773611,0.00001884697,0.000009497469,0.000038413,0.000008558861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001637158,0.00009019623,0.0007849769,0.0003453204,0.00006725545,0.0006789911,0.0003310936,0.5463765,0.04955127,0.1731522,0.003877879,0.2245805],"study_design_scores_gemma":[0.0000131913,0.00003152758,0.0002274016,0.000006855194,0.000006003033,0.00005522334,0.00001079435,0.9858542,0.0009555703,0.009230486,0.003602842,0.000005870687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04273735,0.001541147,0.9438283,0.0003664928,0.0001885304,0.00005201816,0.00005312213,0.000316273,0.01091676],"genre_scores_gemma":[0.9184889,0.001390409,0.07092866,0.0001098407,0.000151157,0.0001184623,0.0001023379,0.00001710012,0.008693058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003791681,"threshold_uncertainty_score":0.007539213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059864400941239,"score_gpt":0.2209077220511508,"score_spread":0.2103090780417383,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}