{"id":"W2113492334","doi":"10.1109/cdc.2006.377614","title":"Computing Viable Sets and Reachable Sets to Design Feedback Linearizing Control Laws Under Saturation","year":2006,"lang":"en","type":"article","venue":"","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reachability; Control theory (sociology); Feedback linearization; Parameterized complexity; Nonlinear system; Bounded function; Linearization; Invariant (physics); Nonlinear control; Law; Computation; Computer science; Mathematics; Control (management); Algorithm","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":[0.0008132333,0.0008033243,0.0005558893,0.0008821658,0.0004661602,0.0008107974,0.0006183524,0.0005663896,0.001527537],"category_scores_gemma":[0.003690629,0.00046798,0.0005751506,0.0003219475,0.001261111,0.000838666,0.000859244,0.0005469392,0.0001338316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007169846,"about_ca_system_score_gemma":0.00103077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002223922,"about_ca_topic_score_gemma":0.002356634,"domain_scores_codex":[0.9995959,0.0001188939,0.00002194108,0.00006209355,0.000144932,0.00005626089],"domain_scores_gemma":[0.9985126,0.001122994,0.0001354109,0.00008290868,0.0001092847,0.00003677226],"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":[0.0000327587,0.00002503248,0.000360944,0.00005292826,0.00001380733,0.00009535858,0.000127821,0.9419229,0.003772218,0.03970441,0.0001077313,0.01378404],"study_design_scores_gemma":[0.00001002324,0.00004607646,0.00007630552,0.00001233881,0.000005487368,0.0000111385,0.00003661189,0.9678995,0.002944386,0.02867552,0.0002759569,0.000006726842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09437838,0.00007779795,0.9004922,0.00008123638,0.000006328431,0.00006589717,0.00005404032,0.0003462937,0.004497896],"genre_scores_gemma":[0.8856552,0.00006860017,0.1130729,0.00002250415,0.0000057356,0.0001622039,0.00009667128,0.00004927645,0.0008670096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002223922,"threshold_uncertainty_score":0.005202115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264700039657946,"score_gpt":0.2105078484467513,"score_spread":0.1978608480501718,"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."}}