{"id":"W2082492173","doi":"10.1002/oca.840","title":"Continuous and inverse optimal control designs for chained systems: A global state‐scaling transformation and a time‐scaling method","year":2008,"lang":"en","type":"article","venue":"Optimal Control Applications and Methods","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Controllability; Scaling; Control theory (sociology); Transformation (genetics); Inverse; Convergence (economics); Exponential stability; State (computer science); Computer science; Stability (learning theory); Mathematics; Mathematical optimization; Control (management); Applied mathematics; Algorithm; Nonlinear system","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":[0.001334916,0.0003426169,0.0007212478,0.0001064397,0.0003619521,0.0001242104,0.0001040966,0.0001738328,0.00000277157],"category_scores_gemma":[0.00005560504,0.0003354079,0.0001033128,0.0001558888,0.0001125849,0.0002478886,0.00001941797,0.0001550761,0.000001462409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006239824,"about_ca_system_score_gemma":0.00003715996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004265241,"about_ca_topic_score_gemma":0.000003979725,"domain_scores_codex":[0.9982762,0.0001962705,0.0005577494,0.0004085009,0.0001223034,0.0004390205],"domain_scores_gemma":[0.9984284,0.0008300249,0.0001089599,0.0002055377,0.0001529704,0.0002741117],"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":[0.0007614245,0.00007399279,0.0001067296,0.0003975584,0.000515418,0.000004652522,0.001044323,0.6873961,0.02186052,0.006724835,0.00005104669,0.2810634],"study_design_scores_gemma":[0.005641539,0.0001224349,0.0002476193,0.00002601793,0.0002468163,0.0001287321,0.0002061913,0.9897451,0.0000528615,0.0002742916,0.002954537,0.0003538853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01492805,0.00361374,0.9777921,0.00011952,0.00005056781,0.00273191,0.0003183115,0.0002345035,0.0002112635],"genre_scores_gemma":[0.4133153,0.0003881731,0.5840497,0.00008070241,0.00008859647,0.001959106,0.00002796307,0.00004195822,0.0000484776],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3983873,"threshold_uncertainty_score":0.9999098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01173645112431797,"score_gpt":0.2843229549443715,"score_spread":0.2725865038200536,"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."}}