RETRACTED: Applications of the fuzzy-neural Lyapunov criterion to multiple               time-delay systems

Chen, Cheng-Wu

doi:10.1177/1077546312451034

Cited by 6 publications

(2 citation statements)

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“…A Takagi-Sugeno fuzzy model was used, and the ∞ H control technique was also established in association with the fuzzy controller. For multiple time-delay systems, a fuzzy-neural Lyapunov model was studied [8]. In this work, the Takaki-Sugeno fuzzy system was used in combination with the ∞ H control performance.…”

Section: Introductionmentioning

confidence: 99%

“…It has been observed from experiments that the computation time of all methods in these three categories is faster than the Karnik-Mendel algorithm alone [17]. From the literature mentioned above, it is evident that in adaptive fuzzy control research, there are basically three methods popularly used for controller design; the ∞ H tracking technique [2][3][4][5]13], output tracking [14], and the Lyapunov technique [6][7][8][9][10][11][12]. In addition, feedback/feedforward controllers have been popularized in control study [20,[22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

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Design of a new adaptive fuzzy controller and its implementation for the damping force control of a magnetorheological damper

Phu

Shah

Choi

2014

Smart Mater. Struct.

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This paper presents a new adaptive fuzzy controller and its implementation for the damping force control of a magnetorheological (MR) fluid damper in order to validate the effectiveness of the control performance. An interval type 2 fuzzy model is built, and then combined with modified adaptive control to achieve the desired damping force. In the formulation of the new adaptive controller, an enhanced iterative algorithm is integrated with the fuzzy model to decrease the time of calculation (D Wu 2013 IEEE Trans. Fuzzy Syst. 21 80–99) and the control algorithm is synthesized based on the tracking technique. In addition, for the verification of good control performance of the proposed controller, a cylindrical MR damper which can be applied to the vibration control of a washing machine is designed and manufactured. For the operating fluid, a recently developed plate-like particle-based MR fluid is used instead of a conventional MR fluid featuring spherical particles. To highlight the control performance of the proposed controller, two existing adaptive fuzzy control algorithms proposed by other researchers are adopted and altered for a comparative study. It is demonstrated from both simulation and experiment that the proposed new adaptive controller shows better performance of damping force control in terms of response time and tracking accuracy than the existing approaches.

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Section: Introductionmentioning

confidence: 99%