Generic two-degree-of-freedom linear and fuzzy controllers for integral processes

Precup, Radu‐Emil; Preitl, Ștefan; Petriu, Emil M.; Tar, József K.; Tomescu, Marius-Lucian; Pozna, Claudiu

doi:10.1016/j.jfranklin.2009.03.006

Cited by 76 publications

(29 citation statements)

References 46 publications

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“…Due to the vagueness involved in the real-world decision-making problems, different fuzzy modeling approaches are introduced to deal with human thoughts with uncertainty in various fields [15][16][17][18]. The integrated fuzzy AHP and DEA methodologies are developed to reflect human thoughts with uncertainty for performance evaluation and assessment of units in a fuzzy environment [19][20][21].…”

Section: Overview Advantage Disadvantagementioning

confidence: 99%

A Hybrid Fuzzy DEA/AHP Methodology for Ranking Units in a Fuzzy Environment

Liu

2017

Symmetry

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Abstract:In this paper, a novel approach combining fuzzy data envelopment analysis (DEA) and the analytical hierarchical process (AHP) is proposed to rank units with multiple fuzzy criteria. The hybrid fuzzy DEA/AHP approach derives the AHP pairwise comparisons by fuzzy DEA and utilizes AHP to fully rank units. It shows that the proposed approach generates a logical ranking of units that has perfect compatibility with fuzzy DEA ranking and there is no any form of subjective analysis engaged within the methodology. A study on the facility layout design in manufacturing systems is provided to illustrate the superiority of the proposed approach and show the compatibility between the proposed approach and fuzzy DEA ranking.

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Section: Overview Advantage Disadvantagementioning

confidence: 99%

A Hybrid Fuzzy DEA/AHP Methodology for Ranking Units in a Fuzzy Environment

Liu

2017

Symmetry

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“…In previous researches, various fuzzy modeling approaches were adopted [51][52][53][54]. In [51], they showed the method for the design of generic two-degree-of-freedom (2-DOF), linear and fuzzy, controllers dedicated to a class of integral processes specific to servo systems.…”

Section: Acquisition Of the Output Of The Fuzzy System By Defuzzificamentioning

confidence: 99%

“…In [51], they showed the method for the design of generic two-degree-of-freedom (2-DOF), linear and fuzzy, controllers dedicated to a class of integral processes specific to servo systems. In addition, they presented four 2-DOF linear proportional integral (PI) controller structures that are designed by the extended symmetrical optimum method to ensure the desired overshoot and settling time.…”

Section: Acquisition Of the Output Of The Fuzzy System By Defuzzificamentioning

confidence: 99%

Fuzzy-System-Based Detection of Pupil Center and Corneal Specular Reflection for a Driver-Gaze Tracking System Based on the Symmetrical Characteristics of Face and Facial Feature Points

Lee¹,

Yoon²,

Hong³

et al. 2017

Symmetry

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Abstract:Recently, many studies have actively dealt with the issue of driver-gaze tracking for monitoring the forward gaze and physical condition. Driver-gaze tracking is an effective method of measuring a driver's inattention that is one of the major causes of traffic accidents. Among many gaze-tracking methods, the corneal specular reflection (SR)-based method becomes ineffective, unlike in an indoor environment, when a driver's head rotates, which makes SR disappear from input images or disperses SR in the lachrymal gland or eyelid, thereby increasing the gaze-tracking error. Besides, since a driver's eyes in a vehicle environment need to be captured in a wide range covering his head rotation, the eye region is captured in a relatively low resolution compared to face-only images taken in indoor environments at the same resolution, making pupil and corneal SR difficult to detect accurately. To solve these problems, we propose a fuzzy-system-based method for detecting a driver's pupil and corneal SR for gaze tracking in a vehicle environment. Unlike existing studies detecting pupil and corneal SR in both eyes, the method proposed in this research uses the results of a fuzzy system based on two features considering the symmetrical characteristics of face and facial feature points to determine the status of a driver's head rotation. Based on the output of the fuzzy system, the proposed method excludes the eye region, which is very likely to have a high error rate of detection due to excessive head rotation, from the detection process of the pupil and corneal SR. Accordingly, the proposed method detects pupil and corneal SR only in the eye region that apparently has a low detection error rate, thereby achieving accurate detection. We use 20,654 images capturing 15 subjects (including subjects wearing glasses), who gaze at pre-set fifteen regions in a vehicle, to measure the detection accuracy of the pupil and corneal SR for each region and the gaze tracking accuracy. Our experimental results show that the proposed method performs better than existing methods.

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“…Precup et al, proposed a new design method for 2-DOF controllers that can be used to improve control simplicity at a low cost, particularly in industrial applications [48]. The development of controllers which take into account the dynamics of the entire robotic system, including interaction effects with environment such as slipping, rolling, resistance, etc.…”

Section: Advantages and Disadvantages Of Eha/ieha Unitsmentioning

confidence: 99%