{"id":"W1989117619","doi":"10.1002/rnc.578","title":"Linear time computation of feasible regions for robust compensators","year":2001,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Univerza v Mariboru; McGill University","keywords":"Minkowski addition; Quantitative feedback theory; Transfer function; Computation; Convolution (computer science); Interval (graph theory); Quotient; Inefficiency; Mathematics; Set (abstract data type); Computer science; Function (biology); Minkowski space; Control theory (sociology); Robust control; Algorithm; Mathematical optimization; Control system; Control (management); Pure mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005062518,0.0001160829,0.0002924392,0.0002605922,0.00005498422,0.00006599176,0.0005558198,0.00005892141,0.000004509712],"category_scores_gemma":[0.0001756081,0.0001019893,0.0001320194,0.0001311786,0.00005307855,0.0003622175,0.00004843856,0.0001335492,0.000004435963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003603631,"about_ca_system_score_gemma":0.0001159961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005970083,"about_ca_topic_score_gemma":5.8675e-7,"domain_scores_codex":[0.9987204,0.00005402611,0.0005271175,0.0001464738,0.000404604,0.0001473459],"domain_scores_gemma":[0.9978411,0.0003291558,0.0005525353,0.0001046994,0.001073298,0.00009925749],"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":[0.0006730526,0.0005005026,0.005675888,0.00003228245,0.0007339027,0.0002536367,0.0004994411,0.9539267,0.002012318,0.003119048,0.002816912,0.02975629],"study_design_scores_gemma":[0.00284871,0.0002587638,0.001299301,0.0001239762,0.00003050353,0.0004397913,0.00001620129,0.9933091,0.0001294707,0.0004762291,0.0009661191,0.0001018018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01071284,0.0002606371,0.9850965,0.002954182,0.0007054818,0.0001316831,0.00001850717,0.00001974636,0.0001004468],"genre_scores_gemma":[0.2087782,0.00006780821,0.7900273,0.0002156221,0.0007451419,0.000002283704,0.000008747858,0.00001363415,0.0001413452],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1980653,"threshold_uncertainty_score":0.4159004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03111647698201668,"score_gpt":0.2835155316528594,"score_spread":0.2523990546708427,"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."}}