{"id":"W3010914542","doi":"10.1016/j.fss.2020.03.010","title":"Finite-time prescribed performance adaptive fuzzy control for unknown nonlinear systems","year":2020,"lang":"en","type":"article","venue":"Fuzzy Sets and Systems","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Taishan Scholar Project of Shandong Province; China Postdoctoral Science Foundation","keywords":"Control theory (sociology); Settling time; Backstepping; Tracking error; Mathematics; Controller (irrigation); Fuzzy logic; Nonlinear system; Bounded function; Fuzzy control system; Transient (computer programming); Boundary (topology); Convergence (economics); Adaptive control; Computer science; Control (management); Control engineering; Step response; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004550917,0.0005192008,0.001077351,0.0001016963,0.0001730022,0.0002275201,0.0003045272,0.0002601085,0.000005230216],"category_scores_gemma":[0.0001287688,0.0004603912,0.0001544026,0.0001915916,0.00006522718,0.0003273077,0.00004329063,0.0002602323,0.0001950459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008678219,"about_ca_system_score_gemma":0.00005221523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004467727,"about_ca_topic_score_gemma":0.00000358693,"domain_scores_codex":[0.9974418,0.0001389026,0.000853196,0.0005294725,0.0003786377,0.0006579694],"domain_scores_gemma":[0.9982876,0.0004701522,0.0001885975,0.0003434508,0.0002866673,0.0004235572],"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":[0.001602494,0.000138636,0.001731014,0.00734688,0.00235475,0.00009155178,0.003169347,0.9231812,0.01052162,0.003866907,0.04145759,0.004538034],"study_design_scores_gemma":[0.002588737,0.0004971123,0.0001418301,0.0002629019,0.00008857856,0.00002113636,0.0002774201,0.9099611,0.00002408279,0.000003796637,0.08563342,0.0004998516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4306199,0.1121822,0.2951994,0.00240385,0.02404244,0.04277625,0.01590778,0.009039037,0.06782922],"genre_scores_gemma":[0.9960212,0.0000643085,0.0003911688,0.00009930543,0.002039412,0.0003947312,0.00008449519,0.0001426242,0.0007627249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5654014,"threshold_uncertainty_score":0.9997848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0244668800872932,"score_gpt":0.2140219404673085,"score_spread":0.1895550603800153,"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."}}