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

discord

Filter Design of Interval Type-2 Fuzzy-Model-Based Systemssystem guarantees the prescribed H8, ., passive and dissipativity performance levels with .-stability constraints. The existence condition of the IT2 filter is expressed as the convex optimization problem and the filter parameters in the condition can be solved by the standard software.

chapel

并入

ANTI

Output-Feedback Control of Interval Type-2 Fuzzy-Model-Based Systemss designed for two different cases (known sensor failure case and unknown sensor failure case) to guarantee the reliable stability with mixed . performance. Moreover, a novel criteria are presented to obtain the optical . performance for the closed-loop system.

Stress-Fracture

多嘴

Praxis der digitalen Fotografie,ty theory, the IT2 fuzzy state and output-feedback controllers are designed respectively to guarantee that the closed-loop system is asymptotically stable with extended dissipativity performance. The existence conditions of the two kinds of controllers are obtained in terms of convex optimization problems.

河流

Output-Feedback Control of Interval Type-2 Fuzzy-Model-Based Systemsty theory, the IT2 fuzzy state and output-feedback controllers are designed respectively to guarantee that the closed-loop system is asymptotically stable with extended dissipativity performance. The existence conditions of the two kinds of controllers are obtained in terms of convex optimization problems.

時(shí)代

oracle

FOIL

Output Tracking Control of Interval Type-2 Fuzzy-Model-Based Systemsdesigned to perform the tracking control problem, where the membership functions can be freely chosen since the number of fuzzy rules is different from that of the IT2 T–S fuzzy model. Based on Lyapunov stability theory, an existence condition of IT2 fuzzy . output tracking controller is obtained to