{"id":"W4392559368","doi":"10.1177/14644193241232353","title":"Design of a tracking controller for autonomous articulated heavy vehicles using a nonlinear model predictive control technique","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part K Journal of Multi-body Dynamics","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Model predictive control; Control theory (sociology); Tracking (education); Nonlinear model; Nonlinear system; Control engineering; Controller (irrigation); Computer science; Control (management); Engineering; Artificial intelligence; Psychology; Physics","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":[0.0003468184,0.0005517672,0.0005002088,0.0002458193,0.0004372727,0.000557206,0.0008104723,0.0006246372,0.0009888422],"category_scores_gemma":[0.0005323716,0.0002740219,0.0003993526,0.0001798468,0.0004414366,0.0003540195,0.0005564868,0.0006950204,0.0002862918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003864314,"about_ca_system_score_gemma":0.0009056773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005043578,"about_ca_topic_score_gemma":0.003206697,"domain_scores_codex":[0.9997433,0.00002880408,0.00001448899,0.00007267079,0.0001129177,0.00002779925],"domain_scores_gemma":[0.999746,0.00007133641,0.0000569695,0.00001870369,0.00009386021,0.00001303051],"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":[0.0001137206,0.00006902181,0.0007269527,0.0002524778,0.0000543048,0.000275943,0.0001713936,0.8324788,0.04046844,0.006968627,0.001244697,0.1171755],"study_design_scores_gemma":[0.00001353297,0.00007266894,0.0001369429,0.000006136224,0.000008532085,0.00002543416,0.0000072604,0.9964339,0.002076556,0.0003850815,0.0008285993,0.000005405963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009351655,0.0001219141,0.987403,0.00006168729,0.00005109132,0.00003996505,0.0000140385,0.0003284197,0.002628216],"genre_scores_gemma":[0.8931745,0.0002407586,0.1023532,0.00008160561,0.00005840221,0.0002455474,0.00006414534,0.00003073058,0.003751124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005043578,"threshold_uncertainty_score":0.01002842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793215767951289,"score_gpt":0.2385332947770985,"score_spread":0.2206011370975856,"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."}}