{"id":"W4387779805","doi":"10.1007/s40747-023-01248-4","title":"A strong secure path planning/following system based on type-3 fuzzy control, multi-switching chaotic systems, and random switching topology","year":2023,"lang":"en","type":"article","venue":"Complex & Intelligent Systems","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Concordia University","funders":"Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China; Ministry of Science and Technology of the People's Republic of China","keywords":"Chaotic; Computer science; Control theory (sociology); Motion planning; Controller (irrigation); Fuzzy logic; Path (computing); Synchronization (alternating current); Control engineering; Topology (electrical circuits); Robot; Control (management); Engineering; Artificial intelligence; Channel (broadcasting)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001071481,0.0005965848,0.001213066,0.0004739207,0.0003441285,0.0003019347,0.0003672884,0.0002567051,0.000004533937],"category_scores_gemma":[0.00009738929,0.0005543691,0.0002398108,0.0003522288,0.00002459784,0.0001247905,0.0000715916,0.0004768787,0.0001324792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003326201,"about_ca_system_score_gemma":0.00004044535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003187431,"about_ca_topic_score_gemma":0.00003019714,"domain_scores_codex":[0.9967791,0.0002975213,0.0009869329,0.000610035,0.0004494121,0.0008769381],"domain_scores_gemma":[0.9980559,0.0008156586,0.0001898307,0.0005726381,0.00008718688,0.0002787982],"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":[0.0001397379,0.0000279449,0.001878408,0.001358593,0.0003194565,0.000235144,0.0004999246,0.9900835,0.002474358,0.002170954,0.0003759165,0.0004361329],"study_design_scores_gemma":[0.002974731,0.0001302013,0.0006597817,0.00160573,0.0001094488,0.00004585512,0.002344618,0.9903673,0.000005455823,0.000009360964,0.001228954,0.0005185735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2624117,0.007548188,0.7098932,0.00007142387,0.01265988,0.003003769,0.00008521449,0.002999561,0.001327146],"genre_scores_gemma":[0.9989242,0.00002618834,0.00007757902,0.00003341604,0.0004489703,0.0002013557,0.0000727587,0.0001356036,0.00007992847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7365125,"threshold_uncertainty_score":0.9996908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03313390767495273,"score_gpt":0.2666643951387653,"score_spread":0.2335304874638126,"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."}}