Abstract
AbstractThe new technique of the parametrical and structural optimization of a sensors measuring system appropriate for the estimation of the vehicle motion parameters and the elastic components of this motion is considered. The accuracy of the estimation of these parameters determines the anticipated error in the conformation of controlled variables of state-space vector to the preset values. The control system consists of the estimator and the regulator with time variable parameters optimal for the chosen quadric performance index and the stochastic models of noises and disturbances. The maximal admissible dispersions of the controlled variables estimation errors and time-average magnitudes of the chosen criterions are considered as the limitations for linear matrix inequalities (LMI) in the sensors system optimization problem on the base of minimization of offered goal function related with the number, type and accuracy of sensors.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
