{"id":"W1987633367","doi":"10.4028/www.scientific.net/amm.52-54.1670","title":"Adaptive Force/Position Control Law of Nonlinear Robotic System","year":2011,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nonlinear system; Control theory (sociology); Position (finance); Robot; Adaptive control; Position tracking; Control engineering; Tracking (education); Tracking error; Control (management); Engineering; Computer science; Robot manipulator; Law; Artificial intelligence; Physics; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001108302,0.0001273307,0.0003453994,0.00002452541,0.00003237382,0.00001072104,0.00005195436,0.00007871539,0.00001090173],"category_scores_gemma":[8.842534e-7,0.0001168455,0.00002358606,0.00002636968,0.000007793933,0.0000418117,0.000010891,0.00002881198,0.000009168673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000183131,"about_ca_system_score_gemma":0.000002679656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003348502,"about_ca_topic_score_gemma":0.000004135438,"domain_scores_codex":[0.9993749,0.00001280565,0.0002700849,0.000117178,0.00007151905,0.0001535751],"domain_scores_gemma":[0.9997156,0.00001412494,0.00006656733,0.0001316014,0.00002680292,0.00004524979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005294341,0.000004840025,2.928902e-8,0.0001086808,0.00003412028,0.000001403615,0.00008304173,0.0002510165,0.4051939,0.5941836,0.000001538967,0.00008495636],"study_design_scores_gemma":[0.00242126,0.000202973,0.000005571008,0.0001452645,0.0001928079,0.00002858051,0.0008988226,0.03890296,0.9205953,0.03608481,0.00009232283,0.0004293298],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01964824,0.0001442585,0.9697611,0.000001571193,0.0007121617,0.0006962094,0.0001019028,0.0002270933,0.00870748],"genre_scores_gemma":[0.9960899,0.00001304907,0.003710733,0.00001778991,0.00007930861,0.00004609962,0.00000742124,0.00002840229,0.000007280698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9764417,"threshold_uncertainty_score":0.4764822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009547242195861253,"score_gpt":0.1709010314666447,"score_spread":0.1613537892707834,"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."}}