{"id":"W2570169412","doi":"10.1109/icmic.2016.7804270","title":"Model based sliding manifold design for a class of nonlinear systems","year":2016,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Control theory (sociology); Decoupling (probability); Nonlinear system; Torque; Manifold (fluid mechanics); Sliding mode control; Computer science; Compensation (psychology); Control engineering; Engineering; Control (management); Artificial intelligence; Physics; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000346988,0.0001701423,0.0003269783,0.0001001178,0.00002135767,0.00001391394,0.0001659447,0.00009849919,0.000008237203],"category_scores_gemma":[0.00006404888,0.0001165376,0.0001062744,0.00006405227,0.000009886538,0.0001124871,0.0000113306,0.00003665074,0.00002213312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009066631,"about_ca_system_score_gemma":0.000041665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006030154,"about_ca_topic_score_gemma":0.000003992563,"domain_scores_codex":[0.9989985,0.00002750525,0.0003857013,0.000165539,0.0001586187,0.0002641741],"domain_scores_gemma":[0.9990546,0.00041256,0.00006322663,0.000256606,0.0001409835,0.00007207577],"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":[0.00008050436,0.00002837599,0.00004939679,0.0003210001,0.0001100422,0.000002316605,0.00002347833,0.7406077,0.2464909,0.008680288,0.002904915,0.0007010669],"study_design_scores_gemma":[0.001143387,0.00006395602,0.00000416,0.0001527237,0.0000207327,0.000001554621,0.00002174309,0.9841127,0.01242835,0.00002800425,0.001854184,0.0001684899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002033225,0.0001599394,0.9949631,0.00005697589,0.0002658359,0.0006998213,0.00007441772,0.0002701284,0.001476531],"genre_scores_gemma":[0.9160421,0.000003427253,0.0825144,0.00001490032,0.0001694148,0.00009442701,0.000001939931,0.00006501946,0.001094359],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9140089,"threshold_uncertainty_score":0.4752266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05164656177809208,"score_gpt":0.2386838838478885,"score_spread":0.1870373220697965,"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."}}