Abstract
Parameter estimation and optimal design of experiments are important steps in establishing models that reproduce a given process quantitatively correctly. The methods for parameter estimation and optimum experimental design are being more and more often applied in industry. The realization of methods in industrial practice shows however, that in order to use the complete potential of nonlinear optimum experimental design, we have to deal with several mathematical challenges. This article presents very effective algorithms for design of optimal experiments in dynamic systems and preliminary numerical results for dynamic robot calibration.
Sign-in/Register to access full text options 
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.
