{"id":"W2965760416","doi":"10.1115/1.4044372","title":"Robust Adaptive Tracking Control of Uncertain Rehabilitation Exoskeleton Robot","year":2019,"lang":"en","type":"article","venue":"Journal of Dynamic Systems Measurement and Control","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Exoskeleton; Control theory (sociology); Robustness (evolution); Adaptive control; Lyapunov function; Lyapunov stability; Robust control; Computer science; Sliding mode control; Robot; Control engineering; Engineering; Control system; Simulation; Control (management); Artificial intelligence; Nonlinear system","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":[0.0005959586,0.0006396217,0.0004386762,0.0002835407,0.000344819,0.0005351568,0.000581337,0.0005617782,0.0009995522],"category_scores_gemma":[0.0009164691,0.0002186665,0.0003189885,0.0001816395,0.0005073969,0.0002555558,0.000579041,0.0003687907,0.0001482295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000303869,"about_ca_system_score_gemma":0.000426638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004012814,"about_ca_topic_score_gemma":0.001557665,"domain_scores_codex":[0.9996716,0.00006721545,0.00002754563,0.0001010697,0.00009526558,0.00003738867],"domain_scores_gemma":[0.999638,0.0001141744,0.0001053293,0.0000287025,0.0001004612,0.0000133259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003309961,0.00008488476,0.0009105785,0.0003439758,0.00007790489,0.0005243834,0.0002912444,0.8712596,0.05937418,0.005221645,0.0007797264,0.0608009],"study_design_scores_gemma":[0.00002784894,0.0001982699,0.0005385692,0.00001300414,0.00001147441,0.00003458359,0.00001603884,0.9951534,0.00296987,0.0005038081,0.0005241655,0.000008990884],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09500606,0.0004337029,0.898612,0.0001854264,0.0001119153,0.00007927651,0.00004016855,0.0006349252,0.004896611],"genre_scores_gemma":[0.989015,0.0001052714,0.009015222,0.00002938673,0.00001485387,0.00007664141,0.00002215081,0.000007869184,0.001713524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004012814,"threshold_uncertainty_score":0.007978916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02491807656680111,"score_gpt":0.2439573214694605,"score_spread":0.2190392449026594,"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."}}