{"id":"W1977299776","doi":"10.1016/s0947-3580(10)70635-x","title":"Discussion on: “Adaptive Control for a Mobile Robot Under Slip Conditions Using an LMI-Based Approach”","year":2010,"lang":"en","type":"article","venue":"European Journal of Control","topic":"Control Systems and Identification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); Estimator; Robustness (evolution); Kalman filter; Robust control; Continuous stirred-tank reactor; Mathematics; Control system; Engineering; Computer science; Statistics; Control (management)","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":[0.0008962336,0.0004985231,0.0004740276,0.0003467184,0.0009258166,0.0009586671,0.001742018,0.003729011,0.01669643],"category_scores_gemma":[0.003438436,0.0001080904,0.0006296671,0.0003120828,0.001577989,0.001517811,0.0007797966,0.00138966,0.002793379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005790187,"about_ca_system_score_gemma":0.0006556817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002091352,"about_ca_topic_score_gemma":0.002294076,"domain_scores_codex":[0.9995154,0.0001104987,0.0000288787,0.00007495124,0.0002248212,0.00004550377],"domain_scores_gemma":[0.9993813,0.0003173317,0.000039937,0.00003603586,0.0002036402,0.00002184864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004481158,0.0001018034,0.0008311587,0.00182183,0.00009320959,0.001710148,0.001045139,0.03300728,0.01515838,0.455907,0.3530586,0.1368173],"study_design_scores_gemma":[0.0001520508,0.0004690458,0.002742312,0.0005343115,0.0000951191,0.0007114243,0.0007528148,0.07682382,0.01917325,0.2258559,0.6725583,0.0001316291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.01683581,0.01173931,0.5665197,0.1940803,0.03989989,0.0006333954,0.0006934146,0.001176664,0.1684215],"genre_scores_gemma":[0.5047971,0.01256814,0.1100405,0.1366833,0.03044995,0.001281034,0.0005637342,0.0004965057,0.2031197],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01669643,"threshold_uncertainty_score":0.0558551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02110122938343934,"score_gpt":0.2401701340557826,"score_spread":0.2190689046723432,"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."}}