{"id":"W4287272678","doi":"10.48550/arxiv.2103.06836","title":"Low-Gain Stability of Projected Integral Control for Input-Constrained\\n Discrete-Time Nonlinear Systems","year":2021,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Control theory (sociology); Monotone polygon; Discrete time and continuous time; Nonlinear system; Mathematics; Stability (learning theory); Exponential stability; Integral sliding mode; Controller (irrigation); Constant (computer programming); Regular polygon; Integral equation; Control (management); Computer science; Mathematical analysis; Sliding mode control; Physics","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":[0.0009539634,0.0006919061,0.0005018057,0.0003074188,0.00034706,0.001150269,0.000605074,0.0004504918,0.001473252],"category_scores_gemma":[0.002162476,0.0002574884,0.0002756095,0.0001984751,0.001570717,0.0006344123,0.0010415,0.0009323925,0.0001632028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007946088,"about_ca_system_score_gemma":0.0008520107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00389852,"about_ca_topic_score_gemma":0.001869017,"domain_scores_codex":[0.9996923,0.00008163491,0.00001055001,0.00005683323,0.000122165,0.00003644493],"domain_scores_gemma":[0.9994237,0.0003161315,0.00007275795,0.00003053833,0.0001260513,0.00003071267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000232378,0.00005649046,0.0004644899,0.0002052164,0.00004278617,0.0001166568,0.0003526456,0.8979876,0.01759606,0.06202895,0.0004728221,0.02044393],"study_design_scores_gemma":[0.000007258925,0.00002415446,0.00003657242,0.000003705418,0.000002270197,0.000004846923,0.000008872456,0.9945693,0.0009069777,0.004312415,0.0001207427,0.000002952932],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08030395,0.0001668408,0.9122005,0.0001753757,0.00003110729,0.00003094231,0.00002869402,0.0001603192,0.006902297],"genre_scores_gemma":[0.9749785,0.0001284699,0.0221749,0.00003349897,0.00001321171,0.00006123947,0.00003624625,0.00002464123,0.002549325],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00389852,"threshold_uncertainty_score":0.007751703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02455904340638403,"score_gpt":0.1777918338584016,"score_spread":0.1532327904520175,"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."}}