{"id":"W3095518322","doi":"10.3390/sym12111771","title":"Global Stabilization of a Reaction Wheel Pendulum: A Discrete-Inverse Optimal Formulation Approach via A Control Lyapunov Function","year":2020,"lang":"en","type":"article","venue":"Symmetry","topic":"Control and Stability of Dynamical Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Universidad Tecnológica de Pereira; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Control theory (sociology); Lyapunov function; Parametric statistics; Discrete time and continuous time; Exponential stability; Inverse; Control-Lyapunov function; Optimal control; Nonlinear system; Computer science; Pendulum; Passivity; Mathematics; Lyapunov redesign; Mathematical optimization; Control (management); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004288101,0.0006817163,0.0004741666,0.000381952,0.0002191744,0.0007568406,0.0005027966,0.0005867022,0.001724995],"category_scores_gemma":[0.0004376551,0.0001727729,0.0004612232,0.0001997943,0.0007079344,0.0003879413,0.0005156865,0.0006649167,0.0002283938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004091538,"about_ca_system_score_gemma":0.0005373235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001897085,"about_ca_topic_score_gemma":0.001206732,"domain_scores_codex":[0.9998958,0.00003403615,0.000005638008,0.00002102177,0.00003536322,0.000008087179],"domain_scores_gemma":[0.999891,0.00004406589,0.00001744304,0.00000872892,0.00003243688,0.000006368212],"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":[0.00005840254,0.0000674631,0.0003098761,0.0003406896,0.00003910061,0.0001495972,0.0001541103,0.8274287,0.02095128,0.1006212,0.001063306,0.04881629],"study_design_scores_gemma":[0.000006056272,0.0000494039,0.00003938496,0.000007446813,0.000004875661,0.00001275579,0.000008271818,0.9950491,0.0009781788,0.002755468,0.001084608,0.000004378649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006073599,0.000239565,0.9890609,0.0001049265,0.00005302205,0.00002592506,0.00001247985,0.00006797267,0.00436166],"genre_scores_gemma":[0.8030868,0.0008923253,0.1865821,0.00011136,0.0001236119,0.0003037167,0.00007565368,0.00008848168,0.008735941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001897085,"threshold_uncertainty_score":0.005770683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007934716145704955,"score_gpt":0.196169538670901,"score_spread":0.188234822525196,"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."}}