{"id":"W1510649613","doi":"10.1007/3-540-45118-8_45","title":"A New Approach to the Control of a Hydraulic Stewart Platform","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in control and information sciences","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Control theory (sociology); Backstepping; Stewart platform; Coulomb friction; Displacement (psychology); Nonlinear system; Lyapunov function; Actuator; Bounded function; Hydraulic cylinder; Body orifice; Control engineering; Engineering; Hydraulic machinery; Tracking (education); Computer science; Adaptive control; Mathematics; Control (management); Mechanical engineering; Physics; Classical mechanics; Artificial intelligence; Mathematical analysis","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":[0.0002311333,0.0007609747,0.0005388419,0.0004370823,0.0004465682,0.001011242,0.001362657,0.0007202917,0.005437052],"category_scores_gemma":[0.0003242568,0.0002952711,0.0005659725,0.0002657996,0.001046705,0.0008928159,0.001336423,0.00101133,0.0009848826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000280516,"about_ca_system_score_gemma":0.0003745927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008271758,"about_ca_topic_score_gemma":0.001009244,"domain_scores_codex":[0.9997463,0.00004032034,0.0000107714,0.00005013284,0.0001372793,0.00001521229],"domain_scores_gemma":[0.9999294,0.00002002322,0.000007478158,0.00001231445,0.00002233686,0.000008484667],"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":[0.00009629696,0.00006884974,0.0001604483,0.000303486,0.00006328554,0.0004385016,0.0004712429,0.1702491,0.06613865,0.6063923,0.004065148,0.1515527],"study_design_scores_gemma":[0.00005465051,0.0003338115,0.0001684517,0.0000401834,0.00003149348,0.000340597,0.00006366312,0.8084114,0.006800422,0.1197446,0.06396677,0.00004407045],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003940387,0.0003775201,0.9773353,0.0001461126,0.0002895177,0.00003948565,0.00001662434,0.0001601464,0.01769483],"genre_scores_gemma":[0.4443691,0.002503502,0.4612007,0.0003303975,0.001108134,0.0003517134,0.00009169551,0.0001895911,0.08985506],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005437052,"threshold_uncertainty_score":0.01818871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0207978551407318,"score_gpt":0.2274827795895463,"score_spread":0.2066849244488145,"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."}}