{"id":"W2774569306","doi":"10.1109/acc.2012.6315295","title":"Observer-based tracking controller design for networked predictive control systems with uncertain Markov delays","year":2012,"lang":"en","type":"article","venue":"","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Control theory (sociology); Feed forward; Networked control system; Computer science; Controller (irrigation); Model predictive control; Markov chain; Tracking error; State observer; Trajectory; Observer (physics); Control system; Control engineering; Control (management); Engineering; Artificial intelligence","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":[0.001029295,0.0007323644,0.0007768521,0.0003710109,0.0004058571,0.00108838,0.001017788,0.000966112,0.001383601],"category_scores_gemma":[0.002124186,0.0003995658,0.0003985298,0.0003756378,0.000680187,0.0007857678,0.0007423168,0.001051674,0.000241179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006981213,"about_ca_system_score_gemma":0.001178271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00495553,"about_ca_topic_score_gemma":0.004201618,"domain_scores_codex":[0.9995425,0.00008670453,0.00003324147,0.0001084923,0.0001738269,0.00005524663],"domain_scores_gemma":[0.9992847,0.0003146148,0.0001378118,0.00003808623,0.0002034766,0.00002131572],"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":[0.0001433947,0.00004583136,0.0003907328,0.0001985846,0.00004995538,0.0001440594,0.0001700402,0.9297627,0.008142791,0.01457405,0.0007759923,0.04560184],"study_design_scores_gemma":[0.00001465095,0.00003940928,0.00005558331,0.000006029464,0.000007971936,0.00000909339,0.000005442213,0.9973769,0.0009909652,0.001072215,0.0004173623,0.000004267652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006500533,0.0001514833,0.9918126,0.00005749489,0.00003957872,0.00002873499,0.00001605136,0.0001770635,0.001216445],"genre_scores_gemma":[0.9233432,0.0004617741,0.0720651,0.00007618398,0.00006814898,0.0003222074,0.0001301986,0.00004174696,0.003491404],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00495553,"threshold_uncertainty_score":0.009853363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03170983487648196,"score_gpt":0.2207158983741484,"score_spread":0.1890060634976664,"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."}}