{"id":"W4413477163","doi":"10.1007/978-3-031-84869-8_41","title":"Observer-Based Adaptive Robust Fractional Order Control of a Class of Nonlinear Delayed Constrained Systems with Singularity","year":2025,"lang":"en","type":"book-chapter","venue":"Springer proceedings in mathematics & statistics","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nonlinear system; Control theory (sociology); Singularity; Class (philosophy); Observer (physics); Mathematics; Order (exchange); Applied mathematics; Control (management); Computer science; Mathematical analysis; Physics; Artificial intelligence; Economics","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":[0.0002483111,0.0004588119,0.0006866006,0.0002286294,0.0002563506,0.0007810635,0.0005120992,0.0005140861,0.0007827937],"category_scores_gemma":[0.0007101602,0.0001615358,0.0004554587,0.0002329912,0.0004098213,0.0004540397,0.0005263496,0.0005271999,0.0000773818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003021905,"about_ca_system_score_gemma":0.0002763062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001729127,"about_ca_topic_score_gemma":0.00144157,"domain_scores_codex":[0.9999262,0.00001174395,0.000005125607,0.00001996829,0.0000241486,0.00001275061],"domain_scores_gemma":[0.9998152,0.00008261405,0.00003704505,0.00002111478,0.00003557156,0.000008551279],"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":[0.0003515241,0.00008546362,0.001067071,0.000366421,0.0001142559,0.0006251708,0.0003996324,0.7212061,0.06776569,0.07916132,0.001821123,0.1270362],"study_design_scores_gemma":[0.000005162553,0.00003868313,0.0001814053,0.000004558444,0.00000683225,0.00003330841,0.000005764183,0.9953679,0.001270127,0.002649563,0.0004324942,0.00000421426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07185169,0.0005727164,0.9224515,0.0001039112,0.00008643739,0.00002054225,0.00002924221,0.0001921413,0.004691815],"genre_scores_gemma":[0.9731791,0.0003315724,0.02316906,0.00002885627,0.00003399938,0.00003033392,0.00004270806,0.0000212526,0.003163158],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001729127,"threshold_uncertainty_score":0.003438115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650808756386234,"score_gpt":0.2165300320204869,"score_spread":0.2000219444566245,"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."}}