{"id":"W4399262096","doi":"10.1016/j.isatra.2024.05.050","title":"Sliding mode observer-based model predictive tracking control for Mecanum-wheeled mobile robot","year":2024,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Science and Technology Planning Project of Guangdong Province; St. Thomas University","keywords":"Mobile robot; Model predictive control; Tracking (education); Computer science; Observer (physics); Control theory (sociology); Sliding mode control; Mode (computer interface); Control engineering; Control (management); Artificial intelligence; Robot; Engineering; Psychology; Human–computer interaction; Nonlinear system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001699706,0.0002904129,0.000365096,0.0001765962,0.0001576117,0.0001108937,0.0001576669,0.0001601276,0.0000367953],"category_scores_gemma":[0.00001334787,0.0003049889,0.0003574468,0.0002060139,0.00002467533,0.0004196857,0.000001398644,0.0003109704,0.00002161325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003001179,"about_ca_system_score_gemma":0.000113159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002506116,"about_ca_topic_score_gemma":0.0001722822,"domain_scores_codex":[0.9986164,0.00003278862,0.0003875135,0.0003442338,0.0002057305,0.0004133358],"domain_scores_gemma":[0.9991027,0.0003981501,0.00002631147,0.0002309465,0.000114537,0.0001273993],"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":[0.00005389174,0.00003672797,0.00000308124,0.0001872782,0.000302487,0.000004906061,0.0003620103,0.9703131,0.02574051,0.0001790521,0.0001268296,0.002690135],"study_design_scores_gemma":[0.001325628,0.00009115972,0.00001382336,0.0001587857,0.000266917,0.000004545855,0.0001358339,0.9926347,0.003604702,0.0001247848,0.001348804,0.0002903036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002809078,0.001150629,0.9908522,0.0001117329,0.001000975,0.001251923,0.001075047,0.001440478,0.000307908],"genre_scores_gemma":[0.991441,0.00001300499,0.006469384,0.00003367643,0.0002729081,0.001311188,0.0000278899,0.0001380008,0.0002929974],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9886318,"threshold_uncertainty_score":0.9999402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02736427604973761,"score_gpt":0.2675213492688114,"score_spread":0.2401570732190738,"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."}}