{"id":"W4382702474","doi":"10.1007/978-3-031-26564-8_8","title":"Modeling and Simulation of Quadcopter Using Self-tuning Fuzzy-PI Controller","year":2023,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"General Motors (Canada)","funders":"","keywords":"Quadcopter; Gyroscope; Control theory (sociology); Inertial measurement unit; PID controller; Control engineering; Controller (irrigation); MATLAB; Computer science; Accelerometer; Fuzzy logic; Drone; Trajectory; Engineering; Control (management); Artificial intelligence; Aerospace engineering","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":[0.0001054796,0.0003262155,0.0005189924,0.0002396106,0.0004814367,0.0005361747,0.0007557617,0.0008444441,0.004280608],"category_scores_gemma":[0.0002477879,0.0002219763,0.0004835229,0.0002083021,0.0002462209,0.0004109945,0.0002971769,0.0004054491,0.000384156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003426569,"about_ca_system_score_gemma":0.0004393445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01279222,"about_ca_topic_score_gemma":0.005204265,"domain_scores_codex":[0.9999422,0.000009697332,0.000003268515,0.00001150103,0.00002237193,0.00001104396],"domain_scores_gemma":[0.9999118,0.00003225746,0.00001098557,0.00001152308,0.00002687952,0.000006532784],"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":[0.00002988857,0.00001756983,0.0003008408,0.00003997306,0.00001005786,0.000089435,0.00003283453,0.9899272,0.002548878,0.001681573,0.0003685532,0.004953375],"study_design_scores_gemma":[0.000003745025,0.00001180431,0.000110907,0.0000016558,0.000002287162,0.000009796207,0.000005353544,0.9990066,0.0004024844,0.0002081086,0.0002353535,0.000001941073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.371801,0.001028033,0.5362449,0.0005358105,0.0003445693,0.00020584,0.000614045,0.002512049,0.08671385],"genre_scores_gemma":[0.9770744,0.0001860873,0.01544833,0.00003511331,0.00001130642,0.00007480566,0.0001123715,0.00004140793,0.007016154],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01279222,"threshold_uncertainty_score":0.02543557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09911850898775938,"score_gpt":0.3373683752217234,"score_spread":0.238249866233964,"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."}}