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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/24550
- On sampled-data models for nonlinear systems
Goodwin, Graham C.
- Models for deterministic continuous-time nonlinear systems typically take the form of ordinary differential equations. To utilize these models in practice invariably requires discretization. In this paper, we show how an approximate sampled-data model can be obtained for deterministic nonlinear systems such that the local truncation error between the output of this model and the true system is of order Delta(r+1), where A is the sampling period and r is the system relative degree. The resulting model includes extra zero dynamics which have no counterpart in the underlying continuous-time system. The ideas presented here generalize well-known results for the linear case. We also explore the implications of these results in nonlinear system identification.
- IEEE Transactions on Automatic Control Vol. 50, no. 10, p. 1477-1489
- Institute of Electrical and Electronics Engineers (IEEE)
sampled data models;
discrete time systems;
- Resource Type
- journal article
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