Titlebook: Analysis and Synthesis for Interval Type-2 Fuzzy-Model-Based Systems; Hongyi Li,Ligang Wu,Yabin Gao Book 2016 Springer Science+Business Me

諂媚于性

Switched Control of Interval Type-2 Fuzzy-Model-Based Systemship functions, is constructed. The membership functions of IT2 fuzzy systems contain parameter uncertainties. Based on the type-2 fuzzy set theory, the parameter uncertainties can be effectively obtained. A novel type of IT2 switched output-feedback controller is designed to ensure that the closed-l

等級的上升

Filter Design of Interval Type-2 Fuzzy-Model-Based Systemsis focused on solving the H8, ., passive and dissipativity fuzzy filter design problems for IT2 fuzzy systems with D stability constraints in a unified frame. Under the new performance index frame, using Lyapunov stability theory, a novel type of IT2 filter is designed such that the filtering error

過于平凡

cocoon

Model Reduction of Interval Type-2 Fuzzy-Model-Based Systemsr of rules can be freely chosen and they are different between the original system and the reduced-order system. By introducing some slack matrices and utilizing Lyapunov stability theory, the existence condition of model reduction is obtained to guarantee that the reduced-order model can approximat

CROAK

Fault-Tolerant Control of of Interval Type-2 Fuzzy-Model-Based Systemst premise matching. The time-varying delay and actuator fault are first taken into account for the discrete-time IT2 fuzzy systems. The fault-tolerant controller is designed to compensate for the effect of faults by stabilizing the closed-loop system under the actuator failures. Furthermore, the sta

教唆

Output-Feedback Control of Interval Type-2 Fuzzy-Model-Based Systemsumber of fuzzy rules and the membership functions for the static output-feedback controller are different from those for the plant. A sufficient criterion of reliable stability with mixed . performance is derived for the closed-loop system with sensor failure. The static output-feedback controller i

Institution

北極人

Adenoma

Praxis der digitalen Fotografie,This chapter investigates the stability of IT2 FMB control systems under imperfect premise matching. Unlike the authors’ work in [97] under PDC design concept, it was required that the IT2 fuzzy controller shares the same premise membership functions and the same number of rules as those of the IT2 T–S fuzzy model.

Largess

Recommender Systems in der popul?ren MusikThis chapter draws conclusions on the book, and points out some possible research directions related to the work done in this book.