Results 171 to 180 of about 30,987 (233)
Integration of AI and ML in regenerative braking for electric vehicles: a review. [PDF]
Front Artif IntellPrakash Z.
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Expert Systems with Applications, 2021
Abstract In this paper an uncertain dynamical system is investigated in which the coefficients are as a class of fuzzy sets and the fuzzy derivative is considered as the granular derivative. Furthermore, the notions of granular second order derivative of a fuzzy function, fuzzy overshoot, fuzzy rise-time, and fuzzy peak-time are introduced.
Marzieh Najariyan, Yi Zhao
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Abstract In this paper an uncertain dynamical system is investigated in which the coefficients are as a class of fuzzy sets and the fuzzy derivative is considered as the granular derivative. Furthermore, the notions of granular second order derivative of a fuzzy function, fuzzy overshoot, fuzzy rise-time, and fuzzy peak-time are introduced.
Marzieh Najariyan, Yi Zhao
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A New Fuzzy PID Control System Based on Fuzzy PID Controller and Fuzzy Control Process
International Journal of Fuzzy Systems, 2020In this paper, we present a fuzzy PID control system as a combination of a fuzzy PID controller and a fuzzy control process, which is represented by a fuzzy control differential equation in linear form. We use the concepts of the generalized Hukuhara differentiability and the fuzzy integral of fuzzy-valued functions to study some qualitative properties
Nguyen Dinh Phu +3 more
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Proceedings of TENCON '93. IEEE Region 10 International Conference on Computers, Communications and Automation, 2002
The paper introduces in detail the derivation of a control algorithm. In this algorithm, a fuzzy controller is applied to the PID control method and a self-optimal regulating factor is added to the control rule, thus the controller not only has quick dynamic response and allows overswing properties of the fuzzy controller, but also has the high ...
null Liang Xiaoyin, null Qu Beimin
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The paper introduces in detail the derivation of a control algorithm. In this algorithm, a fuzzy controller is applied to the PID control method and a self-optimal regulating factor is added to the control rule, thus the controller not only has quick dynamic response and allows overswing properties of the fuzzy controller, but also has the high ...
null Liang Xiaoyin, null Qu Beimin
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Fuzzy-PID controllers vs. fuzzy-PI controllers
Proceedings of IEEE 5th International Fuzzy Systems, 2002The synthesis of a control system includes both the controller selection and the adjustment of its parameters. In some cases, the type of controller might be more complex or more general, like PID instead PI or PD, to improve the control system performance. In all cases, the tuning problem must be satisfactorily solved. On the other hand, fuzzy control
M. Santos, S. Dormido, J.M. de la Cruz
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Fuzzy PID controller structures
CCECE '97. Canadian Conference on Electrical and Computer Engineering. Engineering Innovation: Voyage of Discovery. Conference Proceedings, 2002This paper provides a systematic procedure for designing fuzzy PID controllers. The fuzzy nonlinear mapping with respect to error, error change and rate of error change is analyzed to produce different fuzzy PID controller structures. The design procedure is identified as a two-level tuning problem.
G.K.I. Mann, B.-G. Hu, R.G. Gosine
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Automation and Remote Control, 2020
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Vassilyev, S. N. +6 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vassilyev, S. N. +6 more
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Fuzzy precompensated PID controllers
IEEE Transactions on Control Systems Technology, 1994While proportional integral derivative (PID) controllers are widely used in industrial applications, they exhibit poor performance when applied to systems containing unknown nonlinearities, such as deadzones, saturation, and hysteresis. In this paper, the authors propose a fuzzy logic-based precompensation approach for PID controllers.
Kim, Jong-Hwan +2 more
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Fuzzy PID Controller with Fuzzy Supervision
IFAC Proceedings Volumes, 2000Abstract The best-known industrial process controllers are proportional-integral-derivative (РID) controllers because of their simple structure and robust performance in a wide range of operating conditions. Fuzzy controllers can be viewed as a natural similarity of conventional РID controllers, which can perform the same tasks into the control ...
Michail Petrov +3 more
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