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Research on self-adaptive height adjustment control of shearer based on deep deterministic policy gradient. [PDF]
PLoS OneWang Y +8 more
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Laser-Tracker-Based Robot Pose Measurement Using PSD Spot Sensing and Multi-Sensor Fusion with Simulation Validation. [PDF]
Micromachines (Basel)Wang S, Yang J, Sang X.
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A Novel Gudermannian Function-Driven Controller Architecture Optimized by Starfish Optimizer for Superior Transient Performance of Automatic Voltage Regulation. [PDF]
Biomimetics (Basel)Izci D +6 more
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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
N Senu, Ali Ahmadian, Phu Nguyen Dinh
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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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2021
Recently, autonomous mobile robots have been increasingly developed for many applications related with surveillance, transportation, and inspection. This paper introduces an autonomous robot motion control based on PID, Fuzzy, and Fuzzy-PID controllers. The experiment is implemented on a mobile robot to compare the performances among three controllers.
Thi Thoa Mac +3 more
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Recently, autonomous mobile robots have been increasingly developed for many applications related with surveillance, transportation, and inspection. This paper introduces an autonomous robot motion control based on PID, Fuzzy, and Fuzzy-PID controllers. The experiment is implemented on a mobile robot to compare the performances among three controllers.
Thi Thoa Mac +3 more
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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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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
openaire +1 more source