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| The LNAI series reports state-of-the-art results in artificial intelligence re- search, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNAI has grown into the most comprehensive artificial intelligence research forum available. The scope of LNAI spans the whole range of artificial intelligence and intelli- gent information processing including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes proceedings (published in time for the respective conference) post-proceedings (consisting of thoroughly revised final full papers) research monographs (which may be based on PhD work) |
| fuzzy theory and algorithms theory research on a new type fuzzy automaton practical stability analysis and synthesis of a class of uncertain t-s fuzzy systems robust ha fuzzy controller for uncertain nonlinear systems with time-varying delayed state observer-based ha controller designs for t-s fuzzy systems new robust stability time-varying delays criterion for uncertain fuzzy systems with fast zhang stability analysis and controller design of discrete t-s fuzzy system stabilization of multirate sampled-data fuzzy systems based on an approximate discrete-time model an algorithm for high-dimensional traffic data clustering hierarchical clustering with proximity metric derived from approximate reflectional symmetry fuzzy clustering based on vague relations the fuzzy clustering algorithm based on afs topology fuzzy c-means algorithm with divergence-based kernel variable threshold concept lattice and dependence space non-fragile robust ha fuzzy controller design for a class of nonlinear descriptor systems with tinm-varying delays in states pwm fuzzy controller for nonlinear systems youla parameterization and design of takagi-sugeno fuzzy control systems . on the markovian randomized strategy of controller for markov decision processes hnproved automatic gain control circuit using fuzzy logic reliable control of fuzzy descriptor systems with time-varying delay a novel fuzzy approximator with fast terminal sliding mode and its application robust fuzzy tracking control of nonlinear systems with uncertainty via t-s fuzzy model adaptive dynamic surface fuzzy control for a class of uncertain nonlinear systems fuzzy nonlinear regression model based on ls-svm in feature space …… fuzzy applications knowledge discovery applications author index |
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