Answers are grounded in this paper and cite their sources.
In this paper we consider a pseudo-formal linearization that transforms a given nonlinear system into a pseudolinear system. The given nonlinear system is linearized piecewise by the formal linearization method based on a Taylor expansion considering up to higher-order terms, and then each piecewise linearized system is smoothly united into a single linearized system by an automatic choosing function. The error bounds of this pseudo-formal linearization indicate that the accuracy of the approximation is improved when the domain is reasonably divided and as the order of the polynomials increases. A nonlinear observer and a nonlinear filter are also synthesized as applications of the pseudo-formal linearization. The high validity of this method is verified through numerical examples.
No takes yet. Share an insight, caveat, or question.
Takata et al. (2018) studied this question.
Synapse has enriched 5 related papers. Consider them for comparative context: