Adelaide Research & Scholarship
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https://hdl.handle.net/2440/79978
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| Type: | Journal article |
| Title: | Approximation to a class of non-autonomous systems by dynamic fuzzy inference marginal linearization method |
| Author: | Wang, D. Song, W. Shi, P. Li, H. |
| Citation: | Information Sciences, 2013; 245:197-217 |
| Publisher: | Elsevier Science Inc |
| Issue Date: | 2013 |
| ISSN: | 0020-0255 |
| Statement of Responsibility: | De-Gang Wang, Wen-Yan Song, Peng Shi, Hong-Xing Li |
| Abstract: | In this paper, a dynamic fuzzy inference marginal linearization (DFIML) method is proposed for modeling nonlinear dynamic systems. This method can transfer a group of input-output data into a time-variant fuzzy system with variable coefficients. It is shown that solutions of time-variant fuzzy systems generalized by DFIML method are universal approximators to solutions of a class of non-autonomous systems. Also the analytical solutions of these time-variant fuzzy systems can be obtained. Finally, a simulation example is provided to illustrate the validity and potential of the developed techniques. © 2012 Elsevier Inc. All rights reserved. |
| Keywords: | Fuzzy inference Fuzzy system Non-autonomous system Universal approximators |
| Rights: | © 2013 Elsevier Inc. All rights reserved. |
| DOI: | 10.1016/j.ins.2013.05.011 |
| Published version: | http://dx.doi.org/10.1016/j.ins.2013.05.011 |
| Appears in Collections: | Aurora harvest Electrical and Electronic Engineering publications |
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