{"id":"W4294325294","doi":"10.1177/09596518221116268","title":"Flatness tracking control scheme of rehabilitation exoskeleton robot with dynamic uncertainties","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; College Ahuntsic","funders":"","keywords":"Exoskeleton; Robustness (evolution); Control theory (sociology); Robot; Flatness (cosmology); Computer science; Control engineering; Nonlinear system; Controller (irrigation); Lyapunov stability; Engineering; Simulation; Artificial intelligence; 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":[0.0003995304,0.0008984379,0.0004504167,0.0003064639,0.0004771824,0.0007001263,0.0007538042,0.0005165297,0.001450241],"category_scores_gemma":[0.0005066345,0.0002314047,0.0004145757,0.0002249618,0.00055652,0.0003973262,0.0007968476,0.0005013742,0.0002622113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004294426,"about_ca_system_score_gemma":0.0006054187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005757576,"about_ca_topic_score_gemma":0.002752366,"domain_scores_codex":[0.9997136,0.0000396186,0.00002438435,0.0000935486,0.00008179399,0.00004703336],"domain_scores_gemma":[0.9997746,0.00004362225,0.00005518268,0.00002039967,0.0000915954,0.00001447436],"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":[0.0006061735,0.0001005653,0.0009592508,0.0004491525,0.00008459972,0.0008226152,0.0006636117,0.7914976,0.08516168,0.0178796,0.001595226,0.1001799],"study_design_scores_gemma":[0.00003922273,0.000426368,0.0008325151,0.00002038492,0.00002323119,0.00007340599,0.00003284181,0.9897867,0.006271536,0.001318203,0.001154455,0.00002106734],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07133421,0.0003503463,0.9208833,0.00012848,0.0001046445,0.0001107146,0.00004643683,0.00045859,0.006583207],"genre_scores_gemma":[0.9870219,0.0001454129,0.008834377,0.00003741399,0.0000150824,0.0001054027,0.00004267607,0.000007844373,0.003789997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005757576,"threshold_uncertainty_score":0.01144809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003869188377095363,"score_gpt":0.17622434196003,"score_spread":0.1723551535829346,"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."}}