{"id":"W4414693498","doi":"10.1109/lcsys.2025.3616827","title":"Hierarchical Decentralized Stochastic Control for Cyber-Physical Systems","year":2025,"lang":"en","type":"article","venue":"IEEE Control Systems Letters","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec; University of Ottawa","funders":"Science and Engineering Research Board; Indian Institute of Technology Madras","keywords":"Function (biology); Convergence (economics); Controller (irrigation); Set (abstract data type); Bellman equation; Grid; Realization (probability); Value (mathematics); Resource (disambiguation)","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":[0.001099904,0.0006558364,0.0007435951,0.000373599,0.0005150756,0.001000232,0.001017702,0.0006591684,0.002122003],"category_scores_gemma":[0.002876838,0.0003013245,0.000531536,0.0004550508,0.001216621,0.0008825135,0.001260852,0.001132526,0.0002024707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00186669,"about_ca_system_score_gemma":0.0018575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00802719,"about_ca_topic_score_gemma":0.00752001,"domain_scores_codex":[0.9991229,0.0002537428,0.00003674715,0.0001730349,0.0002821017,0.0001313614],"domain_scores_gemma":[0.9990631,0.0004901654,0.0001578846,0.00008802039,0.0001397644,0.00006106246],"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":[0.00002050187,0.00001448156,0.00016091,0.00003839268,0.0000109669,0.00002844158,0.00003142692,0.9122494,0.000883615,0.07979615,0.0004165434,0.0063491],"study_design_scores_gemma":[0.000005384872,0.000008350137,0.00005113411,0.000001915757,0.000001396645,0.000003353775,0.000002858169,0.9886872,0.00007074796,0.01090637,0.0002593983,0.000001990139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01608171,0.0002557417,0.9784214,0.0002701392,0.00004182515,0.00003241795,0.00005144307,0.0002171445,0.004628124],"genre_scores_gemma":[0.9573568,0.0003393085,0.03919657,0.00008671261,0.00006565404,0.0001141728,0.00008095619,0.00003529439,0.002724528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00802719,"threshold_uncertainty_score":0.01596093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03933704527654486,"score_gpt":0.363574295096304,"score_spread":0.3242372498197591,"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."}}