{"id":"W4312382339","doi":"10.1016/j.ifacol.2022.11.285","title":"Alternative implementation to an incremental output-feedback design approach for constrained discrete-time parameter-varying systems","year":2022,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); Polyhedron; Discrete time and continuous time; Output feedback; Stability (learning theory); Parameter space; Mathematical optimization; State (computer science); Bilinear interpolation; Control (management); Computer science; Work (physics); Invariant (physics); Mathematics; Algorithm; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004432719,0.0003166834,0.0003958298,0.0001703903,0.0002796075,0.00009371617,0.0002786331,0.00004979657,0.00006454282],"category_scores_gemma":[0.00003945957,0.0003499172,0.0000842987,0.0002467476,0.00002230722,0.0003888753,0.00006753768,0.0001532393,0.000008150529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005410887,"about_ca_system_score_gemma":0.00003213319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00010417,"about_ca_topic_score_gemma":0.000004968754,"domain_scores_codex":[0.9980059,0.0001843909,0.0005254072,0.0004564755,0.0003637383,0.0004641057],"domain_scores_gemma":[0.9991922,0.0001617564,0.0001383414,0.0002692748,0.00007296113,0.0001654966],"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":[0.0001202398,0.00004368708,0.00002732715,0.00005120839,0.0001331199,0.000002696064,0.001016034,0.9564202,0.0387632,0.0001029857,0.00001460664,0.003304705],"study_design_scores_gemma":[0.002158845,0.0004697338,0.00001154257,0.00001388149,0.00005170401,0.0000195406,0.003414912,0.9921917,0.001119636,0.00002606314,0.0001172746,0.0004051148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0225325,0.0001029079,0.9719881,0.00005245461,0.0003925935,0.003369299,0.0009381906,0.0003848473,0.0002390835],"genre_scores_gemma":[0.5239521,0.000001972966,0.4729159,0.0000704163,0.0002062207,0.001355834,0.001318044,0.00008292649,0.00009660508],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5014196,"threshold_uncertainty_score":0.9998953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02704172515343086,"score_gpt":0.2765235704291333,"score_spread":0.2494818452757024,"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."}}