Non-Linear Fuzzy Logic Control for Forced Large Motions of Spinning Shafts

Lei, Shuliang; Palazzolo, Alan; Na, Uhnjoo; Kascak, Albert F.

doi:10.1006/jsvi.2000.2937

Cited by 16 publications

(7 citation statements)

References 11 publications

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“…The FIS architecture is based on the Takagi-Sugeno (TS) model (Lei, 2001;Takagi, 1987) and consists of several FIS' modules. It's used to learn first the FIS from the measured data set, as it's illustrated in Fig.3.…”

Section: Rp Mechanism For Initial Knowledge Base Extractionmentioning

confidence: 99%

“…The challenge here is to prospect others approaches offering more realistic models taking into account these constraints and particularly parameters approximation problem. Introduced by Zadeh (Zadeh, 1965) in 1965, fuzzy logic concept has been widely applied in different applications such as control and identification process, pattern recognition, graphics analysis and synthesis and robotics (Bezdek, 1981;Dave, 1990;Liang, 2003;Huang, 2003;Lei, 2001) and satisfactory results have been obtained. In contrast, few researches have been directed towards development of fuzzy logic-based approaches for localization in WSN, even if they present advantages in terms of robustness in spite of noise or other sensor failures, ability to handle non-linearity without degradation and the use of linguistic adjectives and relations similar to a natural language for interpretability.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Position Location Technique in Wireless Sensor Network Using Rapid Prototyping Algorithm

Touati¹,

Aoudia²,

Ali-Chérif³

et al. 2011

Advanced Applications of Rapid Prototyping Technology in Modern Engineering

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Section: Rp Mechanism For Initial Knowledge Base Extractionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Position Location Technique in Wireless Sensor Network Using Rapid Prototyping Algorithm

Touati¹,

Aoudia²,

Ali-Chérif³

et al. 2011

Advanced Applications of Rapid Prototyping Technology in Modern Engineering

View full text Add to dashboard Cite

“…INCE the beginning of fuzzy logic, introduced by Zadeh [1] in 1965, a lot of research has been carried out for the development of control approaches of complex systems, and satisfactory results have been obtained [2] [3][4] [5]. However, these approaches have not deeply investigated in force control of robotic tasks.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy logic based approach for robotics systems control. stability analysis

Touati

Amirat

Ali-Chérif

2007

2007 IEEE/RSJ International Conference on Intelligent Robots and Systems

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This paper presents an adaptive fuzzy control approach for complex tasks involving robot-environment interaction. Implementation of this approach is based on the design and optimization of Fuzzy Logic Controller (FLC) performed in two stages. In the first stage, the FLC parameters are trained and optimized offline using a rapid prototyping algorithm combined with a method based on Solis and Wetts algorithm. The latter algorithm allows convergence of the cost function to its global minimum by using a local search algorithm which is a randomized hill-climber with an adaptive step size. For convenience of analysis, the structure of the FLC is divided into multi-input-single-output (MISO) controllers. In the second stage, an online learning of the FLC is then implemented into the proposed control structure. Robustness of the proposed approach is shown by the stability analysis based on the Lyapunov method. To show the performances of the proposed approach, simulations are carried out on a 3DOF robot performing contour following under force constraints.

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Section: Introductionmentioning

confidence: 99%

Advanced Applications of Rapid Prototyping Technology in Modern Engineering

Hoque¹

2011

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Manufacturing Engineering and serves as Head of the Bioengineering Research Group at the University of Nottingham Malaysia Campus. He received his bachelor degree in Materials and Metallurgical Engineering in 1998 from BUET, Bangladesh, then M Eng and PhD in Bioengineering from NUS, Singapore in 2003 and 2007, respectively. So far, he has authored two books, co-authored three book chapters and edited two books. He has also published more than 60 technical papers in referred journals and international conference proceedings. He is a member of InTech's Scientific Board and an invited lead guest editor of the International Journal of Materials and Mechanical Engineering and serves as a technical reviewer for about 10 international journals. He is a member of several professional scientific societies including Tissue Engineering and Regenerative Medicine International Society (TERMIS), and Tissue Engineering Society Malaysia (TESMA). His research interests include the areas of Biomaterials, Biofuel, Tissue Engineering, Stem Cells, Nanomaterials and Composite Materials.

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Non-Linear Fuzzy Logic Control for Forced Large Motions of Spinning Shafts

Cited by 16 publications

References 11 publications

Position Location Technique in Wireless Sensor Network Using Rapid Prototyping Algorithm

Position Location Technique in Wireless Sensor Network Using Rapid Prototyping Algorithm

Fuzzy logic based approach for robotics systems control. stability analysis

Advanced Applications of Rapid Prototyping Technology in Modern Engineering

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