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Analysis and Synthesis for Interval Type-2 Fuzzy-Model-Based Systems [electronic resource] / by Hongyi Li, Ligang Wu, Hak-Keung Lam, Yabin Gao.

By: Li, Hongyi [author.].
Contributor(s): Wu, Ligang [author.] | Lam, Hak-Keung [author.] | Gao, Yabin [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2016Edition: 1st ed. 2016.Description: XIX, 257 p. 60 illus., 55 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811005930.Subject(s): Computational intelligence | System theory | Control theory | Nonlinear Optics | Control engineering | Computational Intelligence | Systems Theory, Control | Nonlinear Optics | Control and Systems TheoryAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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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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.

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