{"id":"W2014879627","doi":"10.1115/1.1985438","title":"Sliding-Mode Observer as a Time-Variant Estimator for Control of Pneumatic Systems","year":2004,"lang":"en","type":"article","venue":"Journal of Dynamic Systems Measurement and Control","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Control theory (sociology); Sliding mode control; Observer (physics); Estimator; Actuator; Controller (irrigation); Linearization; Nonlinear system; Mode (computer interface); Pneumatic actuator; Position (finance); Computer science; Feedback linearization; Control engineering; Engineering; Mathematics; Control (management); Physics; Artificial intelligence; Statistics","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":[0.0004799867,0.0003219917,0.0005340735,0.0001951885,0.000112307,0.0004838731,0.0004442531,0.0005351826,0.0006884493],"category_scores_gemma":[0.001032323,0.0001663719,0.0002868016,0.0002080772,0.0002719111,0.0006387907,0.0002223286,0.0006330916,0.0002238503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002179459,"about_ca_system_score_gemma":0.0002571189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001283991,"about_ca_topic_score_gemma":0.001495999,"domain_scores_codex":[0.9997944,0.0000557503,0.00001567508,0.00003572527,0.00008625762,0.00001211614],"domain_scores_gemma":[0.9997624,0.00008786504,0.00002810513,0.00003823125,0.00007569912,0.000007695895],"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":[0.0004726818,0.0001372467,0.001632329,0.000577549,0.0002091717,0.0002638159,0.0002859157,0.4019593,0.1264368,0.04847647,0.003569029,0.4159797],"study_design_scores_gemma":[0.00001832005,0.0001042461,0.0004284356,0.000009041974,0.00002270834,0.00002607139,0.000007063473,0.9889287,0.005726925,0.001664301,0.003053463,0.00001064331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00760275,0.0005562147,0.9904704,0.00005067678,0.00008532721,0.00001650315,0.00001122565,0.0003999151,0.0008069913],"genre_scores_gemma":[0.8035561,0.001580306,0.1882809,0.0000967433,0.0002014387,0.0001244494,0.0001547167,0.00007740793,0.005927871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001283991,"threshold_uncertainty_score":0.002553046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01090756434132145,"score_gpt":0.2132207048313239,"score_spread":0.2023131404900025,"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."}}