{"id":"W2080599594","doi":"10.1177/1045389x06074026","title":"Experimental Evaluation of the Smart Spring Impedance Control Approach for Adaptive Vibration Suppression","year":2007,"lang":"en","type":"article","venue":"Journal of Intelligent Material Systems and Structures","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Actuator; Shaker; Controllability; Vibration; Electrical impedance; Mechanical impedance; Spring (device); Vibration control; Smart material; Active vibration control; Stiffness; Displacement (psychology); Engineering; Impedance control; Structural engineering; Control theory (sociology); Acoustics; Computer science; Materials science; Control (management); Electrical engineering; Physics","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":[0.0004958631,0.0003775602,0.0001795865,0.00022796,0.0001919886,0.0002462871,0.0004751053,0.0004911932,0.001921421],"category_scores_gemma":[0.0007714104,0.0001360842,0.0001255079,0.0001311743,0.0004744263,0.0004624208,0.0002948452,0.0002930497,0.0002458188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001397021,"about_ca_system_score_gemma":0.0001933599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002457324,"about_ca_topic_score_gemma":0.0003581444,"domain_scores_codex":[0.9997246,0.00003074325,0.00001629148,0.00004850436,0.0001455416,0.00003430207],"domain_scores_gemma":[0.9994841,0.0001732696,0.00006459803,0.00007835498,0.0001538373,0.00004590228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000186441,0.0001923712,0.0002911574,0.00009731443,0.000005161979,0.00005314353,0.00007487767,0.002145506,0.9876467,0.0004898598,0.00007757555,0.008739788],"study_design_scores_gemma":[0.000110422,0.005612674,0.002741385,0.00001279436,0.00001676501,0.0001011098,0.0000794356,0.02479986,0.9642578,0.0002113867,0.002037041,0.00001924036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497099,0.0001306786,0.04634494,0.0001071648,0.00006377242,0.0001162368,0.00009509368,0.0002737394,0.003158597],"genre_scores_gemma":[0.9832676,0.00009330774,0.0150648,0.00001716695,0.000007866128,0.00008680325,0.00005075531,0.00001349312,0.001398254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001921421,"threshold_uncertainty_score":0.006427765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191010838590196,"score_gpt":0.2592077034305312,"score_spread":0.2401066195715116,"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."}}