{"id":"W2134359985","doi":"10.1109/acc.2007.4282202","title":"Backstepping Guidance for Missiles Modeled as Uncertain Time-Varying First-Order Systems","year":2007,"lang":"en","type":"article","venue":"Proceedings of the ... American Control Conference/Proceedings of the American Control Conference","topic":"Guidance and Control Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Backstepping; Acceleration; Control theory (sociology); Missile; Bounded function; Pursuer; Missile guidance; Nonlinear system; Proportional navigation; Trajectory; Aerodynamics; Computer science; Kinematics; Ballistic missile; Lyapunov function; Guidance system; Mathematics; Mathematical optimization; Engineering; Control (management); Adaptive control; Artificial intelligence; Aerospace engineering","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":[0.0003552984,0.0007085057,0.0004806041,0.000261291,0.0002658181,0.0005571008,0.0005858961,0.0008407179,0.0008072843],"category_scores_gemma":[0.001098183,0.0002769439,0.000374524,0.0002362049,0.0005729765,0.0004385921,0.0005140097,0.0007877268,0.0001520278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005556499,"about_ca_system_score_gemma":0.0005283384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008125062,"about_ca_topic_score_gemma":0.004796396,"domain_scores_codex":[0.9997863,0.00005018714,0.00001006085,0.00003928623,0.00008642721,0.00002776512],"domain_scores_gemma":[0.9996238,0.0001910148,0.00007825824,0.00002405332,0.00006908498,0.00001371867],"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":[0.0000425649,0.00001112097,0.0001807507,0.00006259781,0.00001577495,0.0001041494,0.00008304806,0.9760802,0.004670464,0.006212391,0.0001784843,0.01235846],"study_design_scores_gemma":[0.000003879132,0.00002380939,0.00004478212,0.000001821834,0.000001797078,0.000006945982,0.000003311012,0.99876,0.0003197418,0.0006319855,0.0002000477,0.000002042986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04572003,0.0003417098,0.9514313,0.0001081087,0.00004096623,0.00001806686,0.00002131068,0.0002758047,0.002042736],"genre_scores_gemma":[0.9707324,0.0003226933,0.02580177,0.00004252211,0.00002610011,0.00004679297,0.0000434142,0.00002103384,0.002963197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008125062,"threshold_uncertainty_score":0.01615554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136228306717472,"score_gpt":0.2286610495337986,"score_spread":0.2172987664666239,"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."}}