{"id":"W2999078877","doi":"10.1049/iet-cta.2019.0536","title":"Set‐point output tracking problem for linear plants via periodic event‐triggered control","year":2020,"lang":"en","type":"article","venue":"IET Control Theory and Applications","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Control theory (sociology); Set point; Tracking (education); Control (management); Set (abstract data type); Linear control systems; Event (particle physics); Point (geometry); Computer science; Mathematics; Linear system; Control engineering; Engineering; Artificial intelligence; Physics; Mathematical analysis; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000712126,0.000754199,0.0005324853,0.0002304889,0.0002896056,0.0007458072,0.0008797387,0.0008533416,0.00159578],"category_scores_gemma":[0.001678351,0.0002334337,0.0005190166,0.0003127625,0.0004873819,0.0006586234,0.0007329104,0.0008060037,0.0001429699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004204018,"about_ca_system_score_gemma":0.0006796527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002347048,"about_ca_topic_score_gemma":0.001120032,"domain_scores_codex":[0.9995673,0.0001024599,0.00002355389,0.0001065822,0.0001465712,0.00005344091],"domain_scores_gemma":[0.9992895,0.0004043017,0.0001390003,0.00003568684,0.0001069198,0.0000244726],"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":[0.0001579976,0.00006201293,0.0004308561,0.0002990172,0.00003946186,0.0002252005,0.0002382562,0.9170576,0.01265796,0.02461511,0.0005912969,0.04362532],"study_design_scores_gemma":[0.00001110862,0.00006455654,0.0001085257,0.000005547039,0.000004804419,0.0000166883,0.00001106794,0.9956467,0.001044056,0.002838586,0.0002443487,0.000004040452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02504767,0.0001505001,0.9719716,0.00008189255,0.00002907198,0.00004157322,0.00002701454,0.0001041612,0.002546503],"genre_scores_gemma":[0.972693,0.000214629,0.02459061,0.00003581146,0.00002876945,0.0001350846,0.00006503364,0.00002029617,0.002216864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002347048,"threshold_uncertainty_score":0.005338371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470299137168196,"score_gpt":0.2324720383216042,"score_spread":0.2177690469499222,"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."}}