Title
Allowable Parametric Uncertainty In The Closed Loop For The Yaw-Roll Vehicle Model: A Skew-Mu Based Approach
Abstract
The answer to question of "how good does a model need to be to maintain closed loop performance?" is sought. The mu bound is leveraged from the H-infinity control techniques. Specifically a "skew-mu" approach is used to iteratively seek out the remaining "space" for a given parameter to maintain performance specifications of the closed loop system. A coupled yaw-roll vehicle model is reoriented into the linear fraction transformation (LFT) expression. Initial model uncertainty is included in the parameters of the model and the remaining maximum uncertainty space for each parameter is calculated. Additionally the mu-sensitivity of the coupled yaw-raw vehicle model is explored.
Year
Venue
Field
2017
2017 AMERICAN CONTROL CONFERENCE (ACC)
Control theory,Computer science,Control engineering,Robustness (computer science),Loop performance,Parametric statistics,Process control,Skew
DocType
ISSN
Citations 
Conference
0743-1619
0
PageRank 
References 
Authors
0.34
2
2
Name
Order
Citations
PageRank
Lowell S. Brown100.34
David M. Bevly218827.06