{"id":"W2534509317","doi":"","title":"Adaptive FACTS controller based on Kalman filter estimator","year":2009,"lang":"en","type":"article","venue":"International Conference on Electric Power and Energy Conversion Systems","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Control theory (sociology); Kalman filter; Controller (irrigation); Electric power system; Estimator; Identifier; Computer science; Adaptive control; Control engineering; Adaptive estimator; Extended Kalman filter; Engineering; Power (physics); Mathematics","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":[0.0003050835,0.0006575735,0.0007711021,0.0004011629,0.0004650898,0.0008245225,0.0009730472,0.0006710453,0.00345798],"category_scores_gemma":[0.000876539,0.0002361205,0.0003427406,0.0003270725,0.000321077,0.0006420436,0.0003841661,0.0008124115,0.0008624591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000316278,"about_ca_system_score_gemma":0.0004562069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004865351,"about_ca_topic_score_gemma":0.004368413,"domain_scores_codex":[0.9997467,0.00002606403,0.00002185271,0.00007643759,0.0001036275,0.00002522294],"domain_scores_gemma":[0.9995967,0.0001141308,0.00005710627,0.00002623395,0.0001940318,0.0000119614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000431719,0.0001561487,0.002400817,0.0007281987,0.0002700122,0.0004561029,0.0002761262,0.353884,0.03984805,0.01958393,0.01066991,0.5712949],"study_design_scores_gemma":[0.0001403837,0.0002615903,0.001383019,0.00004361153,0.00009719987,0.0001764134,0.0000176966,0.9813775,0.006467206,0.002044597,0.007960483,0.00003019802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009986429,0.0007222252,0.980041,0.0001068646,0.000258613,0.0001016031,0.0000877807,0.002046746,0.006648763],"genre_scores_gemma":[0.8950675,0.001446403,0.09104029,0.0001831291,0.0003550199,0.0004438968,0.0002888629,0.00006238014,0.01111259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004865351,"threshold_uncertainty_score":0.01156813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495532506723933,"score_gpt":0.2215616051941499,"score_spread":0.2066062801269106,"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."}}