000923884 000__ 04656cam\a2200517Ii\4500 000923884 001__ 923884 000923884 005__ 20230306150954.0 000923884 006__ m\\\\\o\\d\\\\\\\\ 000923884 007__ cr\cn\nnnunnun 000923884 008__ 191218t20202020sz\a\\\\ob\\\\001\0\eng\d 000923884 019__ $$a1129145593$$a1129164556$$a1129188353$$a1130038862 000923884 020__ $$a9783030355661$$q(electronic book) 000923884 020__ $$a3030355667$$q(electronic book) 000923884 020__ $$z9783030355654 000923884 020__ $$z3030355659 000923884 0247_ $$a10.1007/978-3-030-35566-1$$2doi 000923884 0247_ $$a10.1007/978-3-030-35 000923884 035__ $$aSP(OCoLC)on1131817893 000923884 035__ $$aSP(OCoLC)1131817893$$z(OCoLC)1129145593$$z(OCoLC)1129164556$$z(OCoLC)1129188353$$z(OCoLC)1130038862 000923884 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX$$dLQU$$dGZM$$dOCLCF 000923884 049__ $$aISEA 000923884 050_4 $$aQA402$$b.D66 2020eb 000923884 08204 $$a003/.7$$223 000923884 1001_ $$aDong, Shanling,$$eauthor. 000923884 24510 $$aControl and filtering of fuzzy systems with switched parameters /$$cShanling Dong, Zheng-Guang Wu, Peng Shi. 000923884 264_1 $$aCham :$$bSpringer,$$c[2020] 000923884 264_4 $$c©2020 000923884 300__ $$a1 online resource :$$billustrations. 000923884 336__ $$atext$$btxt$$2rdacontent 000923884 337__ $$acomputer$$bc$$2rdamedia 000923884 338__ $$aonline resource$$bcr$$2rdacarrier 000923884 4901_ $$aStudies in systems, decision and control,$$x2198-4182 ;$$vvolume 268 000923884 504__ $$aIncludes bibliographical references and index. 000923884 506__ $$aAccess limited to authorized users. 000923884 520__ $$aThis book presents recent advances in control and filter design for Takagi-Sugeno (T-S) fuzzy systems with switched parameters. Thanks to its powerful ability in transforming complicated nonlinear systems into a set of linear subsystems, the T-S fuzzy model has received considerable attention from those the field of control science and engineering. Typical applications of T-S fuzzy systems include communication networks, and mechanical and power electronics systems. Practical systems often experience abrupt variations in their parameters or structures due to outside disturbances or component failures, and random switching mechanisms have been used to model these stochastic changes, such as the Markov jump principle. There are three general types of controller/filter for fuzzy Markov jump systems: mode-independent, mode-dependent and asynchronous. Mode-independence does not focus on whether modes are accessible and ignores partially useful mode information, which results in some conservatism. The mode-dependent design approach relies on timely, complete and correct information regarding the mode of the studied plant. Factors like component failures and data dropouts often make it difficult to obtain exact mode messages, which further make the mode-dependent controllers/filters less useful. Recently, to overcome these issues, researchers have focused on asynchronous techniques. Asynchronous modes are accessed by observing the original systems based on certain probabilities. The book investigates the problems associated with controller/filter design for all three types. It also considers various networked constraints, such as data dropouts and time delays, and analyzes the performances of the systems based on Lyapunov function and matrix inequality techniques, including the stochastic stability, dissipativity, and $H_\infty$. The book not only shows how these approaches solve the control and filtering problems effectively, but also offers potential meaningful research directions and ideas. Covering a variety of fields, including continuous-time and discrete-time Markov processes, fuzzy systems, robust control, and filter design problems, the book is primarily intended for researchers in system and control theory, and is also a valuable reference resource for graduate and undergraduate students. Further, it provides cases of fuzzy control problems that are of interest to scientists, engineers and researchers in the field of intelligent control. Lastly it is useful for advanced courses focusing on fuzzy modeling, analysis, and control. 000923884 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 18, 2019). 000923884 650_0 $$aFuzzy systems. 000923884 650_0 $$aJump processes. 000923884 7001_ $$aWu, Zheng-Guang,$$eauthor. 000923884 7001_ $$aShi, Peng,$$d1958-$$eauthor. 000923884 77608 $$iPrint version:$$aDong, Shanling$$tControl and Filtering of Fuzzy Systems with Switched Parameters$$dCham : Springer,c2020$$z9783030355654 000923884 830_0 $$aStudies in systems, decision and control ;$$vv. 268. 000923884 852__ $$bebk 000923884 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-35566-1$$zOnline Access$$91397441.1 000923884 909CO $$ooai:library.usi.edu:923884$$pGLOBAL_SET 000923884 980__ $$aEBOOK 000923884 980__ $$aBIB 000923884 982__ $$aEbook 000923884 983__ $$aOnline 000923884 994__ $$a92$$bISE