The paper presents the principle of fuzzy-observer-based residual generator design for a class of continuous-time nonlinear systems represented by Takagi-Sugeno models, and measurable, as well as unmeasurable premise variables. The conditions are outlined in the terms of linear matrix inequalities to...
The paper describes the application of Takagi-Sugeno (TS) type fuzzy logic controller to three-phase shunt active power filter (APF) for the power quality improvement and reactive power compensation required by a non-linear load. The advantage of fuzzy logic control is that it does not require...
This paper proposes the design of a Takagi-Sugeno (TS) fuzzy robust controller based on disturbance observer which is strong external disturbance for ship lift feedback fin stabilizer. The TS type fuzzy logic systems are employed to approximate uncertain functions. Our approach is based on a robus...
In this paper, global exponential synchronization of Takagi–Sugeno (TS) fuzzy complex dynamical networks with multiple time-varying delays and stochastic perturbations is studied via delayed impulsive distributed control. Both impulsive and continuous parts of the fuzzy model have different multiple time-...
In this chapter, synchronization of TS fuzzy systems is discussed, where a fuzzy feedback law is adopted and realized via exact linearization (EL) techniques and by solving LMI problems. Two examples, synchronization of Chen's systems and hyperchaotic systems, are given for illustration....
This paper proposes a transformation method that serves the trade-off between the modelling complexity and accuracy of multi-variable Takagi-Sugeno fuzzy inference operator-based modelling (TS fuzzy modelling). The relation between the number of fuzzy rules and the modelling accuracy is defined in the...
Adaptive TS Fuzzy-Based MPC for DC Microgrids With Dynamic CPLs: Nonlinear Power Observer Approach 来自 Semantic Scholar 喜欢 0 阅读量: 116 作者:N Vafamand,S Yousefizadeh,MH Khooban,JD Bendtsen,T Dragicevic 摘要: The performance of a DC microgrid (MG) might de- grade because of the ...
In this paper, we propose a stable fuzzy model predictive controller based on extended-fuzzy Lyapunov function. The main idea of the proposed approach is to design a free control variable and a non-parallel distributed compensation control law in such a way that an extended-fuzzy Lyapunov functio...
In this research, we develop a self-learning fuzzy logic autopilot for high-performance trajectory tracking of a hexacopter unmanned aerial vehicle. We employ non-linear mathematical models of the system, derived from first principles, to gain more accurate understanding of its dynamic behaviours. Acc...
Takagi-Sugeno Fuzzy Models within the framework of Orthonormal Basis Functions (OBF-TS Fuzzy Models) have shown to be an effective approach to nonlinear system identification and control due to several advantages they exhibit over those dynamic model topologies most commonly adopted in the literature....