@inproceedings{424712b5276a406cb62951e11880a173,
title = "Fundamental relation of approximate receding-horizon optimization to the simple mass-spring-damper system",
abstract = "Model-error control synthesis is a nonlinear robust control approach that uses an optimal solution to cancel the effects of modelling errors and external disturbances on a system. The model error is determined by the approximated receding-horizon optimal solution. The future states are predicted by a repeated first-order Taylor series method or a higher-order Taylor series method. In this paper we show the fundamental relation between these two methods using the physical parameters, such as time constant and damping factor, of a simple mass-spring-damper system.",
author = "Jongrae Kim and Crassidis, \{John L.\}",
year = "2003",
doi = "10.2514/6.2003-5633",
language = "English",
isbn = "9781563479786",
series = "AIAA Guidance, Navigation, and Control Conference and Exhibit",
publisher = "American Institute of Aeronautics and Astronautics Inc.",
booktitle = "AIAA Guidance, Navigation, and Control Conference and Exhibit",
note = "AIAA Guidance, Navigation, and Control Conference and Exhibit 2003 ; Conference date: 11-08-2003 Through 14-08-2003",
}