{"id":"W4387210387","doi":"10.1016/j.conengprac.2023.105722","title":"Modelling and model-based tracking control of soft twisted and coiled actuators","year":2023,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Control theory (sociology); Nonlinear system; Actuator; Controller (irrigation); Hysteresis; Inverse; System dynamics; Inverse dynamics; Compensation (psychology); Computer science; Control system; Control engineering; Engineering; Control (management); Mathematics; Artificial intelligence; 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":[0.0004235657,0.000437019,0.0006234436,0.0003390796,0.0003738444,0.001133552,0.0007130267,0.0008317141,0.001554627],"category_scores_gemma":[0.00116794,0.0003318464,0.0004787548,0.0003201307,0.0007150198,0.000792091,0.0007104902,0.0005196034,0.0002927093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005070918,"about_ca_system_score_gemma":0.0006352367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005454469,"about_ca_topic_score_gemma":0.003635375,"domain_scores_codex":[0.9997438,0.00005854416,0.00001554107,0.00004602925,0.0001066751,0.00002950944],"domain_scores_gemma":[0.999593,0.0001643969,0.00008193432,0.00004650054,0.00009455447,0.00001954782],"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":[0.00004175294,0.000009845096,0.0001306353,0.00004760993,0.0000106055,0.00004470356,0.00004923938,0.9825134,0.004701666,0.004655901,0.0001085599,0.007686183],"study_design_scores_gemma":[0.000003001585,0.00001648058,0.00008944374,0.000004014409,0.000003299421,0.000008073494,0.000004656085,0.9976212,0.0007737803,0.001221398,0.000250889,0.000003666301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05062006,0.0003859046,0.9423186,0.0001189304,0.00006910137,0.00003199205,0.00004570668,0.0003328327,0.006076779],"genre_scores_gemma":[0.982846,0.0002192934,0.01331272,0.00001823237,0.000009968785,0.00005421985,0.00004107322,0.00002543755,0.003473095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005454469,"threshold_uncertainty_score":0.01084548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385586442305163,"score_gpt":0.2282199408337207,"score_spread":0.214364076410669,"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."}}