Type-II fuzzy model is useful to handle the influence of uncertainties. This paper presents an algorithm of Type-II T-S fuzzy (T2TSF) modeling based on data�...
Abstract—Type-II fuzzy model is useful to handle the influ- ence of uncertainties. This paper presents an algorithm of Type-. II T-S fuzzy (T2TSF) modeling�...
This paper is concerned with the fuzzy model predictive control (FMPC) problem for a class of interval type-2 Takagi-Sugeno (IT2 T-S) fuzzy systems under�...
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Type-II fuzzy model is useful to handle the influence of uncertainties. This paper presents an algorithm of Type-II T-S fuzzy (T2TSF) modeling based on data�...
Abstract_ In this paper, the model predictive control is designed for an interval type-2 Takagi-Sugeno (T-S) system with unknown time-varying delay in state�...
This paper presents a design application of Interval Type-2 (IT2) Takagi–Sugeno (T–S) Fuzzy Model Based (FMB) control system for generic aircraft.
Abstract. Here, decentralized robust interval type-2 (IT2) fuzzy model predictive control (MPC) for Takagi–Sugeno (T-S) large-scale systems is studied.
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The fuzzy MPC is designed for a T-S IT2 large-scale system, and uncertainties are considered in, which is not applicable for systems with time-varying delay.
The adaptive control of nonlinear systems is one of the most often applied methods. In most cases, this approach is to transform nonlinear system dynamics into�...
Nov 1, 2021 � This paper investigates the dynamic event-triggered predictive control problem of interval type-2 (IT2) fuzzy systems with imperfect premise matching.
Missing: II | Show results with:II
