000754085 000__ 02769cam\a2200481Ii\4500 000754085 001__ 754085 000754085 005__ 20230306141649.0 000754085 006__ m\\\\\o\\d\\\\\\\\ 000754085 007__ cr\cn\nnnunnun 000754085 008__ 160308s2016\\\\si\a\\\\ob\\\\000\0\eng\d 000754085 019__ $$a942710998 000754085 020__ $$a9789811005930$$q(electronic book) 000754085 020__ $$a9811005931$$q(electronic book) 000754085 020__ $$z9789811005923 000754085 020__ $$z9811005923 000754085 0247_ $$a10.1007/978-981-10-0593-0$$2doi 000754085 035__ $$aSP(OCoLC)ocn944119974 000754085 035__ $$aSP(OCoLC)944119974$$z(OCoLC)942710998 000754085 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dN$T$$dAZU$$dIDEBK$$dYDXCP$$dOCLCF 000754085 049__ $$aISEA 000754085 050_4 $$aQA402 000754085 08204 $$a511.3/13$$223 000754085 24500 $$aAnalysis and synthesis for interval type-2 fuzzy-model-based systems$$h[electronic resource] /$$cHongyi Li, Ligang Wu, Hak-Keung Lam, Yabin Gao. 000754085 264_1 $$aSingapore :$$bSpringer,$$c2016. 000754085 300__ $$a1 online resource (xix, 257 pages) :$$billustrations. 000754085 336__ $$atext$$btxt$$2rdacontent 000754085 337__ $$acomputer$$bc$$2rdamedia 000754085 338__ $$aonline resource$$bcr$$2rdacarrier 000754085 504__ $$aIncludes bibliographical references. 000754085 5050_ $$aIntroduction -- Stability and Stabilization of CTIT2FMBSs -- Output-feedback Control of CTIT2FMBSs -- Sampled-Data Control of CTIT2FMBSs -- Output Tracking Control of CTIT2FSs -- Switched Output-feedback Control of CTIT2FMBSs -- Filter Design of CTIT2FMBSs -- Fault Detection of CTIT2FMBSs -- Model Reduction of CTIT2FMBSs -- Optimal Control of DTIT2FMBSs -- State-feedback Control of DTIT2FMBSs -- Static Output-feedback Control of DTIT2FMBSs -- Guaranteed Cost Output Tracking Control of DTIT2FMBSs. 000754085 506__ $$aAccess limited to authorized users. 000754085 520__ $$aThis book develops a set of reference methods capable of modeling uncertainties existing in membership functions, and analyzing and synthesizing the interval type-2 fuzzy systems with desired performances. It also provides numerous simulation results for various examples, which fill certain gaps in this area of research and may serve as benchmark solutions for the readers. Interval type-2 T-S fuzzy models provide a convenient and flexible method for analysis and synthesis of complex nonlinear systems with uncertainties. 000754085 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 8, 2016). 000754085 650_0 $$aFuzzy systems. 000754085 7001_ $$aLi, Hongyi,$$eauthor. 000754085 7001_ $$aWu, Ligang,$$eauthor. 000754085 7001_ $$aLam, Hak-Keung,$$eauthor. 000754085 7001_ $$aGao, Yabin,$$eauthor. 000754085 77608 $$iPrint version:$$z9811005923$$z9789811005923$$w(OCoLC)935185755 000754085 852__ $$bebk 000754085 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-0593-0$$zOnline Access$$91397441.1 000754085 909CO $$ooai:library.usi.edu:754085$$pGLOBAL_SET 000754085 980__ $$aEBOOK 000754085 980__ $$aBIB 000754085 982__ $$aEbook 000754085 983__ $$aOnline 000754085 994__ $$a92$$bISE