In statistical process monitoring, the CUSUM and EWMA control charts have received considerable attention because of their remarkable ability to detect small sustained shifts. practice, variation shifts are anticipated beforehand in many processes, so focus should be on detecting a moderate large shift. The aforementioned identify minor changes population parameters as out-of-control scenarios;...

This paper presents a novel design of a Takagi-Sugeno fuzzy logic control scheme for controlling some of the parameters, such as speed, torque, flux, voltage, etc. of the induction motor. Induction motors are characterized by highly non-linear, complex and time-varying dynamics and inaccessibility of some of the states and outputs for measurements, and hence it can be considered as a challengin...

In this paper, the driver with antiwindup and fuzzy high-performance and robust PI controller has been suggested for Permanent Magnet Synchronous Motor (PMSM). This controller is suggested for the design of the robust driver for three phase PMSM and the cost reduction of its control system. It’s useful for the industrial application and automation and ultimately speed control and the improvemen...

This paper proposes a fuzzy modelling approach oriented to the design of a fuzzy controller for regulating the fresh airflow of a real diesel engine. This strategy has been suggested for enhancing the regulator design that could represent an alternative to the standard embedded BOSCH controller, already implemented in the Engine Control Unit (ECU), without any change to the engine instrumentati...

In this paper, a fuzzy control scheme, which employs the output feedback control approach, is suggested for the stabilization of nonlinear systems with uncertainties. The uncertain nonlinear system can be represented by uncertain Takagi-Sugeno (TS) fuzzy model structure, which is further rearranged to give a set of uncertain linear systems. A switching-type fuzzy-model-based controller, which u...

The fuzzy-logic-based IntelRate controller is a newly proposed intelligent explicit traffic congestion controller that can avoid the evaluation of some critical network parameters such as bottleneck bandwidth or the number of flows in a router. It fundamentally eliminates the potential performance problems caused by parameter mis-estimations. Besides, it saves computation resources and improves...

In this paper, in order to control uncertain chaotic system, an adaptive fuzzy control(AFC) scheme is developed for the multi-input/multi-output plants represented by the Takagi-Sugeno(T-S) fuzzy models. The proposed AFC scheme provides robust tracking of a desired signal for the T-S fuzzy systems with uncertain parameters. The developed control law and adaptive law guarantee the boundedness of...

The setting of the control limits to utilize on a control chart supposes the assumption of the normality. However, in many situations, this condition does not hold. There are numerous studies on the control charts when the underlying distribution is non-normal. This paper examines the effects of non-normality as measured by skewness and provides an alternative method of designing individuals co...