{"id":"W2106105976","doi":"10.1109/cdc.2001.980226","title":"Sliding mode control design for complex valued sliding manifold","year":2003,"lang":"en","type":"article","venue":"Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228)","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Sliding mode control; Manifold (fluid mechanics); Control theory (sociology); Mode (computer interface); Computer science; Control (management); Physics; Engineering; Mechanical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001536454,0.0006921772,0.001212818,0.0002691408,0.0003499733,0.0002882717,0.0008374542,0.0002978625,0.00004562794],"category_scores_gemma":[0.001424318,0.0005382732,0.0003662608,0.000264692,0.00008080874,0.0003756406,0.00004459639,0.000294148,0.00004515057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000165596,"about_ca_system_score_gemma":0.0001005016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009475157,"about_ca_topic_score_gemma":0.000003159106,"domain_scores_codex":[0.9966064,0.00007752152,0.001077756,0.000704593,0.0007204125,0.000813303],"domain_scores_gemma":[0.9966623,0.001035998,0.0004837553,0.0003757798,0.001141922,0.0003002869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002179767,0.0001308444,0.000609097,0.0002469616,0.0003989217,0.000002273345,0.0002403664,0.004908668,0.9165837,0.06764555,0.003140999,0.003912872],"study_design_scores_gemma":[0.008530919,0.0003915135,0.0005972364,0.0004712211,0.000193894,0.00001941045,0.0002284618,0.9746311,0.009140159,0.004199286,0.0009803922,0.0006163801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2593541,0.0001491342,0.7287287,0.0004120616,0.001687192,0.004117751,0.0001513946,0.0004069138,0.004992786],"genre_scores_gemma":[0.9705136,0.00007544299,0.02800729,0.0004085506,0.0002689182,0.000260807,0.000001603435,0.0001254881,0.0003382316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9697224,"threshold_uncertainty_score":0.9997069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05734527693170769,"score_gpt":0.2642889656209436,"score_spread":0.2069436886892359,"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."}}