{"id":"W2199527024","doi":"10.1016/j.ifacol.2015.11.170","title":"On the Relation between the Hybrid Minimum Principle and Hybrid Dynamic Programming: a Linear Quadratic Example","year":2015,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Adaptive Dynamic Programming Control","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dynamic programming; Hybrid system; Bellman equation; Mathematical optimization; Optimal control; Mathematics; Hamiltonian (control theory); Maximum principle; Quadratic equation; Control theory (sociology); Key (lock); Function (biology); Process (computing); Quadratic programming; Computer science; Control (management)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001192248,0.0005078011,0.0005409378,0.0003765052,0.0005412656,0.0007634265,0.0006768554,0.0009487759,0.004159636],"category_scores_gemma":[0.00253393,0.0002698851,0.0004823651,0.0005341422,0.001384621,0.001141726,0.001416534,0.001578079,0.0002324835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005816651,"about_ca_system_score_gemma":0.0004490166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002143939,"about_ca_topic_score_gemma":0.001439932,"domain_scores_codex":[0.9996387,0.0001823367,0.000008142469,0.00004316906,0.00009213141,0.00003558269],"domain_scores_gemma":[0.9987459,0.001023858,0.00006440766,0.00002840863,0.0001026255,0.00003474297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005813609,0.00004794053,0.0002478946,0.0001212727,0.00001789972,0.0002164336,0.0002067707,0.2907562,0.00199937,0.6919877,0.0009945282,0.0133458],"study_design_scores_gemma":[0.00001255694,0.00004338278,0.0001287402,0.00001094839,0.000004464175,0.00003467579,0.00002822791,0.756631,0.0002174288,0.2420081,0.0008706327,0.000009795224],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04678418,0.0005239915,0.921087,0.001214708,0.00003695948,0.00003747565,0.00003854057,0.00006157932,0.03021563],"genre_scores_gemma":[0.8873876,0.0005335095,0.0998399,0.0002274768,0.00006991297,0.0001201483,0.00003947661,0.00005251313,0.01172945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004159636,"threshold_uncertainty_score":0.01391536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03561845750667487,"score_gpt":0.2763211445067575,"score_spread":0.2407026870000826,"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."}}