The presented control scheme utilizes Adaptive Neuro Fuzzy Inference System (ANFIS) controller to track rotational speed of a reference engine and disturbance rejection during engine idling. To evaluate the performance of the controller a model of the system is developed and simulation results are presented. It is shown that the ANFIS controller is suitable for control systems with large time d...

This paper presents two realizations a 2-DOF PI fuzzy gain-scheduling controller for widerange speed control of combustion turbogenerators. The 2-DOF scheme allows independent tuning of the reference tracking and the disturbance rejection characteristics for the controlled system. Then, the fuzzy approach extends these characteristics all over the operating space of the combustion turbogenerato...

Recently, three-way concept lattice is studied to handle the uncertainty and incompleteness in the given attribute set based on acceptation, rejection, and uncertain regions. This paper aimed at analyzing the uncertainty and incompleteness in the given fuzzy attribute set characterized by truth-membership, indeterminacy-membership, and falsity membership functions of a defined single-valued neu...

The paper investigates a predictive control algorithm to regulate the output petroleum temperature of the tubular heat exchanger. In the controller design, a Takagi–Sugeno fuzzy model is applied in combination with the model predictive control algorithm. The process model in form of the Takagi–Sugeno fuzzy model is obtained via subtractive clustering from the plant's data set. The neural networ...

in order to solve the problem of robustness or antidisturbance of the traditional PI speed controller in the permanent magnet synchronous motor. A fuzzy PI speed controller based on load torque feedback compensation is proposed for the permanent magnet synchronous motor. The combination of fuzzy PI control strategy and load feedback compensation method can enhance the robustness and disturbance...

Fuzzy logic or fuzzy set theory is recently getting increasing emphasis in process control applications. This paper presents an application of fuzzy logic control (FLC) for switched reluctance motor (SRM) speed. The (FLC) technique finds its stronger justification in the utilization of a robust control law to model uncertainties. A fuzzy logic controller of the motor speed is then designed and ...

This study introduces a mixed 2 fuzzy output feedback control design method for nonlinear systems with guaranteed control performance. First, the Takagi and Sugeno fuzzy model is employed to approximate a nonlinear system. Next, based on the fuzzy model, a fuzzy observer-based mixed 2 controller is developed to achieve the suboptimal 2 control performance with a desired disturbance rejection co...

Abstract This paper investigates an improved fuzzy adaptive control scheme for a class of nonlinear uncertain systems. A fuzzy system, whose inputs are the feedback error signals instead of the state variables, is used to cancel the nonlinear function. By using the feedback errors as the inputs of the fuzzy system, the disturbance rejection performance can be achieved because the controller wil...

background: human cornea expresses functional fas-ligand capable of killing fas+ activated lymphocytes. fas expression is partly regulated by -670 a/g polymorphism in the promoter region of fas gene. objective: the aim of the present study is to determine the association between fas-670a/g polymorphism and survival of corneal transplantation. methods: in 276 graft recipients who mainly underwen...

This paper presents a study on the modeling of fuzzy topological relations between uncertain objects in Geographic Information Systems (GIS). Based on the recently developed concept of computational fuzzy topological space, topological relations between simple fuzzy spatial objects are modeled. The fuzzy spatial objects here cover simple fuzzy region, simple fuzzy line segment and fuzzy point. ...