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Analysis and synthesis for interval ...

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Analysis and synthesis for interval type-2 fuzzy-model-based systems

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Analysis and synthesis for interval type-2 fuzzy-model-based systems/ by Hongyi Li ... [et al.].
其他作者:	Li, Hongyi.
出版者:	Singapore :Springer Singapore : : 2016.,
面頁冊數:	xix, 257 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Fuzzy systems. -
電子資源:	http://dx.doi.org/10.1007/978-981-10-0593-0
ISBN:	9789811005930

Analysis and synthesis for interval type-2 fuzzy-model-based systems
Analysis and synthesis for interval type-2 fuzzy-model-based systems[electronic resource] /by Hongyi Li ... [et al.]. - Singapore :Springer Singapore :2016. - xix, 257 p. :ill., digital ;24 cm.

Introduction -- Stability and Stabilization of CTIT2FMBSs -- Output-feedback Control of CTIT2FMBSs -- Sampled-Data Control of CTIT2FMBSs -- Output Tracking Control of CTIT2FSs -- Switched Output-feedback Control of CTIT2FMBSs -- Filter Design of CTIT2FMBSs -- Fault Detection of CTIT2FMBSs -- Model Reduction of CTIT2FMBSs -- Optimal Control of DTIT2FMBSs -- State-feedback Control of DTIT2FMBSs -- Static Output-feedback Control of DTIT2FMBSs -- Guaranteed Cost Output Tracking Control of DTIT2FMBSs.

This book develops a set of reference methods capable of modeling uncertainties existing in membership functions, and analyzing and synthesizing the interval type-2 fuzzy systems with desired performances. It also provides numerous simulation results for various examples, which fill certain gaps in this area of research and may serve as benchmark solutions for the readers. Interval type-2 T-S fuzzy models provide a convenient and flexible method for analysis and synthesis of complex nonlinear systems with uncertainties.

ISBN: 9789811005930

Standard No.: 10.1007/978-981-10-0593-0doiSubjects--Topical Terms:

528426
Fuzzy systems.

LC Class. No.: QA402

Dewey Class. No.: 511.313

Analysis and synthesis for interval type-2 fuzzy-model-based systems
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505 0 $a Introduction -- Stability and Stabilization of CTIT2FMBSs -- Output-feedback Control of CTIT2FMBSs -- Sampled-Data Control of CTIT2FMBSs -- Output Tracking Control of CTIT2FSs -- Switched Output-feedback Control of CTIT2FMBSs -- Filter Design of CTIT2FMBSs -- Fault Detection of CTIT2FMBSs -- Model Reduction of CTIT2FMBSs -- Optimal Control of DTIT2FMBSs -- State-feedback Control of DTIT2FMBSs -- Static Output-feedback Control of DTIT2FMBSs -- Guaranteed Cost Output Tracking Control of DTIT2FMBSs.
520 $a This book develops a set of reference methods capable of modeling uncertainties existing in membership functions, and analyzing and synthesizing the interval type-2 fuzzy systems with desired performances. It also provides numerous simulation results for various examples, which fill certain gaps in this area of research and may serve as benchmark solutions for the readers. Interval type-2 T-S fuzzy models provide a convenient and flexible method for analysis and synthesis of complex nonlinear systems with uncertainties.
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