Dynamical reconstruction of unknown inputs in nonlinear differential equations |
| |
Institution: | Institute of Mathematics and Mechanics Ural Branch of Russian Academy of Sciences S. Kovalevskaya Str. 16, 620219, Ekaterinburg, Russia;Politecnico di Torino, Dipartimento di Matematica Corso Duca degli Abruzzi, 24, 10129 Torino, Italy |
| |
Abstract: | We present an algorithm for the identification of an unknown but bounded input to a nonlinear finite-dimensional system, based on observations taken at discrete time instants and corrupted by observation errors. This algorithm is stable with respect to observation and computational errors.If we have the further information that the unknown input is a signal of bounded variation, then we can give explicit convergence estimates of the algorithm. |
| |
Keywords: | |
本文献已被 ScienceDirect 等数据库收录! |
|