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Optimizing interval type-2 fuzzy logic PID controller with an improved constraint differential evolution algorithm. [PDF]
Sci RepChen X, Dong H, Shen C, Li H, Li D.
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An integrated SMC-NADRC robust control approach for electric power steering systems considering nonlinear friction and parametric uncertainties. [PDF]
PLoS OneNguyen TA, Nguyen DN.
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A hybrid fuzzy-PIDD² control strategy for coordinated LFC and AVR in renewable-integrated multi-area power systems. [PDF]
Sci RepOmar MHT, Hamdy RA, Kotb H.
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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 +2 more
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An Improved Robust Fuzzy-PID Controller With Optimal Fuzzy Reasoning
IEEE Transactions on Systems, Man, and Cybernetics, 2005Many fuzzy control schemes used in industrial practice today are based on some simplified fuzzy reasoning methods, which are simple but at the expense of losing robustness, missing fuzzy characteristics, and having inconsistent inference. The concept of optimal fuzzy reasoning is introduced in this paper to overcome these shortcomings.
Han-Xiong Li, Guanrong Chen
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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 0007
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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 0007
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Stability of fuzzy PID controllers
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 1998In this paper, the stability of fuzzy PID controllers is studied. Using the passivity theorem, the stability region of the effective PID parameters can be derived and hence some sufficient conditions for a stable fuzzy controller can be obtained. With these conditions satisfied, a stable set of fuzzy rules can be designed easily.
K. C. Sio, C. K. Lee
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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.
Jong-Hwan Kim +2 more
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An optimal fuzzy PID controller
IEEE Transactions on Industrial Electronics, 2001This paper introduces an optimal fuzzy proportional-integral-derivative (PID) controller. The fuzzy PID controller is a discrete-time version of the conventional PID controller, which preserves the same linear structure of the proportional, integral, and derivative parts but has constant coefficient yet self-tuned control gains. Fuzzy logic is employed
Kit-Sang Tang +3 more
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1985 24th IEEE Conference on Decision and Control, 1985
A fuzzy supervisor for a conventional PID controller is described. In the design of the supervisor the knowledge of an expert in tuning the parameters of the PID controller is applied. Moreover, a performance index is formulated, which matches the requirements in real applications better than the integral criteria generally used. In a simulation set-up
H. Van Nauta Lemke, Wang De-zhao
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A fuzzy supervisor for a conventional PID controller is described. In the design of the supervisor the knowledge of an expert in tuning the parameters of the PID controller is applied. Moreover, a performance index is formulated, which matches the requirements in real applications better than the integral criteria generally used. In a simulation set-up
H. Van Nauta Lemke, Wang De-zhao
openaire +1 more source