Review and Enhancement of Cautious Parameter Estimation for Model Based Control: A Specific Realisation of Regularisation

2006 ◽  
Author(s):  
J. Linden ◽  
B. Vinsonneau ◽  
K.J. Burnham
Keyword(s):  
Parameter Estimation ◽  
Model Based Control ◽  
Model Based

Extending Three Existing Models to Analysis of Trust in Automation: Signal Detection, Statistical Parameter Estimation, and Model-Based Control

2019 ◽  
Vol 61 (7) ◽  
pp. 1162-1170 ◽  
Author(s):  
Thomas B. Sheridan
Keyword(s):  
Parameter Estimation ◽  
Signal Detection ◽  
Interaction Design ◽  
Statistical Parameter ◽  
Open Loop ◽  
Loop Control ◽  
Model Based Control ◽  
Model Based ◽  
Trust In Automation ◽  
Statistical Parameter Estimation

Objective: The objective is to propose three quantitative models of trust in automation. Background: Current trust-in-automation literature includes various definitions and frameworks, which are reviewed. Method: This research shows how three existing models, namely those for signal detection, statistical parameter estimation calibration, and internal model-based control, can be revised and reinterpreted to apply to trust in automation useful for human–system interaction design. Results: The resulting reinterpretation is presented quantitatively and graphically, and the measures for trust and trust calibration are discussed, along with examples of application. Conclusion: The resulting models can be applied to provide quantitative trust measures in future experiments or system designs. Applications: Simple examples are provided to explain how model application works for the three trust contexts that correspond to signal detection, parameter estimation calibration, and model-based open-loop control.

Model-based Control Techniques for Large-Scale High-Precision Stage

2020 ◽  
Vol 140 (4) ◽  
pp. 272-280
Author(s):  
Wataru Ohnishi ◽  
Hiroshi Fujimoto ◽  
Koichi Sakata
Keyword(s):  
High Precision ◽  
Large Scale ◽  
Model Based Control ◽  
Precision Stage ◽  
Control Techniques ◽  
Model Based
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