{"id":"W4231937437","doi":"10.1504/ijvsmt.2017.087957","title":"An optimal robust controller for active trailer differential braking systems of car-trailer combinations","year":2017,"lang":"en","type":"article","venue":"International Journal of Vehicle Systems Modelling and Testing","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Control theory (sociology); Trailer; Linear-quadratic regulator; Controller (irrigation); Engineering; Weighting; Control engineering; Payload (computing); Open-loop controller; Robust control; Optimal control; Control system; Computer science; Automotive engineering; Mathematics; Control (management); Mathematical optimization","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":[0.0003781399,0.0006869448,0.0005239572,0.0003773918,0.0003389368,0.0007323581,0.000723285,0.0004589216,0.001296593],"category_scores_gemma":[0.0005665433,0.0002425407,0.0004232002,0.000202629,0.0003366629,0.0002925748,0.0004547661,0.0005055594,0.0002655534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004011363,"about_ca_system_score_gemma":0.0005066349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002628686,"about_ca_topic_score_gemma":0.002721634,"domain_scores_codex":[0.999657,0.00003364041,0.00002012759,0.00009163468,0.0001511345,0.00004648654],"domain_scores_gemma":[0.999752,0.00006558071,0.00007331513,0.00001478845,0.00008042261,0.0000138505],"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":[0.0002284318,0.00007157295,0.0004580889,0.00038905,0.00009969306,0.0002183742,0.0001620172,0.7671536,0.07510056,0.01016926,0.00135561,0.1445937],"study_design_scores_gemma":[0.00003115567,0.0002102555,0.0002666371,0.00001543269,0.00002903604,0.00005232127,0.00001340946,0.989073,0.007035677,0.0009215612,0.002336254,0.00001523566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02868745,0.0004723242,0.9642829,0.00006678461,0.00007717153,0.00005912439,0.0000327746,0.000520156,0.005801365],"genre_scores_gemma":[0.9527856,0.0002006904,0.04434722,0.00004670633,0.00003245048,0.0000961344,0.00004642655,0.00002732912,0.002417503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002628686,"threshold_uncertainty_score":0.005226791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03800995795528665,"score_gpt":0.2581447867137884,"score_spread":0.2201348287585017,"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."}}