A Fuzzy Logic Controller to Increase Fault Ride-Through Capability of Variable Speed Wind Turbines by Geev Mokryani, Pierluigi Siano, Antonio Piccolo, Vito Calderaro

“…A fuzzy controller for improving Fault Ride-Through (FRT) capability of Variable Speed Wind Turbines (WTs) equipped with Doubly Fed Induction Generator (DFIG) is presented. …”
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Adaptive Fuzzy Synchronization of Fractional-Order Chaotic Neural Networks with Backlash-Like Hysteresis by Wenqing Fu, Heng Liu

“…Fuzzy logic systems are used to approximate the system uncertainties as well as the unknown terms of the backlash-like hysteresis. An adaptive fuzzy controller, which can guarantee the synchronization errors tend to an arbitrary small region, is given. …”
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Management of Uncertainty by Statistical Process Control and a Genetic Tuned Fuzzy System by Stephan Birle, Mohamed Ahmed Hussein, Thomas Becker

“…Additionally, in order to stay within the process corridors, a genetic algorithm was applied to tune the input and output fuzzy sets of a preliminarily parameterized fuzzy controller. The presented experimental results show that the genetic tuned fuzzy controller is able to keep the process within its allowed limits. …”
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Optimal Robust Adaptive Fuzzy H∞ Tracking Control without Reaching Phase for Nonlinear System by El Mehdi Mellouli, Siham Massou, Ismail Boumhidi

“…An optimal H∞ tracking-based indirect adaptive fuzzy controller for a class of perturbed uncertain affine nonlinear systems without reaching phase is being developed in this paper. …”
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An Intelligent Maximum Power Point Using a Fuzzy Log Controller under Severe Weather Conditions by Khaled Bataineh

“…Simulation results showed that a fuzzy controller effectively finds MPP for all weather condition scenarios. …”
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Dissipativity-Based Controller Design for Time-Delayed T-S Fuzzy Switched Distributed Parameter Systems by Xiaona Song, Mi Wang, Shuai Song, Jingtao Man

“…This paper studies fuzzy controller design problem for a class of nonlinear switched distributed parameter systems (DPSs) subject to time-varying delay. …”
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Hybrid Type-2 Fuzzy-Sliding Mode Controller for Navigation of Mobile Robot in an Environment Containing a Dynamic Target by Dorra Ayedi, Maïssa Boujelben, Chokri Rekik

“…The reactive method consists of the hierarchical fuzzy controllers based on Type-2 Fuzzy Logic System (T2-FLS), dedicated to commanding the robot towards a mobile target while avoiding unexpected obstacles. …”
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Discrete-Time Exponentially Stabilizing Fuzzy Sliding Mode Control via Lyapunov’s Method by Radiša Ž. Jovanović, Zoran M. Bučevac

“…Linear time-invariant discrete-time second order plant is considered and the control law is obtained by using a simple fuzzy controller. The analytical structure of the proposed controller is derived and used to prove exponential stability of sliding subspace. …”
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Stabilization Using a Discrete Fuzzy PDC Control with PID Controllers and Pole Placement: Application to an Experimental Greenhouse by Amine Chouchaine, Elyes Feki, Abdelkader Mami

“…The PDC controller will use a classical controller like a PI, PID, or RST in each rule with a pole placement strategy to avoid causing instability. The fuzzy controller presented combines the multicontrol approach and the performance of the classical controllers to obtain a robust nonlinear control action that can also deal with time-variant systems. …”
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Trajectory Tracking Control in Real-Time of Dual-Motor-Driven Driverless Racing Car Based on Optimal Control Theory and Fuzzy Logic Method by Gang Li, Sucai Zhang, Lei Liu, Xubin Zhang, Yuming Yin

“…Taking advantage of the differential drive of dual-motor-driven racing car, the dual motors differential drive fuzzy controller is designed and integrated driving with active steering control. …”
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INFLUENCE OF THE USE OF GEOTHERMAL WATER TO THE MALT DRYING SYSTEM FOR THE CONTROL OF DRYING CHARACTERISTICS USING AI-BASED CONTROL SYSTEMS by Iancu Carmen Violeta, Borza Ioana Maria, Lazăr Andra Nicoleta, Gitea Manuel Alexandru, Mureșan Roxana Maria, Bei Mariana Florica

“…The numerical model of the malt drying system with geothermal water was developed using both the P.I.D. controller. as well as the Fuzzy controller in order to determine the control of the drying characteristics (temperature and thermal flow at the exit from the dryer) to obtain the humidity of the malt within the admissible limits, and the temperature inside the dryer not to alter the grain of malt.…”
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Enhancing Intelligent Control Strategies for UAVs: A Comparative Analysis of Fuzzy Logic, Fuzzy PID, and GA-Optimized Fuzzy PID Controllers by Nigatu Wanore Madebo

“…The study investigates three control methodologies: the Fuzzy Logic Controller (Fuzzy), the Fuzzy Proportional-Integral-Derivative (FPID) controller, and the Genetic Algorithm (GA)-optimized Fuzzy PID controller (GAFPID). The Fuzzy controller leverages heuristic rules for adaptive control, while the FPID controller integrates conventional PID dynamics with fuzzy logic to improve precision and robustness. …”
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Position Control of the Single Spherical Wheel Mobile Robot by Using the Fuzzy Sliding Mode Controller by Hamed Navabi, Soroush Sadeghnejad, Sepehr Ramezani, Jacky Baltes

“…We compare the performance of four different fuzzy controllers: (a) regulation with one signal, (b) regulation and position control with one signal, (c) regulation and position control with two signals, and (d) FSMC for regulation and position control with two signals. …”
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Coordinated Control of ESP-SAS System Considering Roll by Peng Wang, Yuan Ge, Shanggui Cao, Chao Han, Ping Yang, Zhichao Zhang

“…According to the motion characteristics of the electronic stability program (ESP) and semiactive suspension (SAS), the fuzzy controller based on the ESP module and the proportion integration differentiation (PID) controller based on the SAS module are designed, respectively. …”
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Aeroservoelastic Pitch Control of Stall-Induced Flap/Lag Flutter of Wind Turbine Blade Section by Tingrui Liu

“…The aeroservoelastic control is analyzed by three types of optimal PID controllers, two types of fuzzy PID controllers, and neural network PID controllers. The fuzzy controllers are developed based on Sugeno model and intuition method with good results achieved. …”
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Integrated sliding mode control of robot manipulator based on fuzzy adaptive RBF by FENG Jiaqing, ZHANG Lei, TIAN Dongyu

“…Secondly, the approximations of the uncertain variables of the dynamical model are accomplished by using the three sets of RBF neural networks and introducing an adaptive mechanism for online self-tuning of weights, the approximation errors of the RBF neural networks are compensated by using the sliding-mode control term designed in the previous section. Finally, the fuzzy controllers are utilized to calculate the coupled joint friction and outside disturbances. …”
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Improvement of the TEB Algorithm for Local Path Planning of Car-like Mobile Robots Based on Fuzzy Logic Control by Lei Chen, Rui Liu, Daiyang Jia, Sijing Xian, Guo Ma

“…Building on this, a fuzzy controller is proposed based on the kinematic constraints of car-like robots. …”
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Fuzzy Mixed Assembly Line Sequencing and Scheduling Optimization Model Using Multiobjective Dynamic Fuzzy GA by Farzad Tahriri, Siti Zawiah Md Dawal, Zahari Taha

“…In establishing the FAGA, five dynamic fuzzy parameter controllers are devised in which fuzzy expert experience controller (FEEC) is integrated with automatic learning dynamic fuzzy controller (ALDFC) technique. The enhanced algorithm dynamically adjusts the population size, number of generations, tournament candidate, crossover rate, and mutation rate compared with using fixed control parameters. …”
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Experimental Analysis of Fuzzy Gain-Scheduled PID Controller With a Feedforward Compensator for an Ultra-Precise Piezoactuated Micropositioning Stage by Hussain Kahil, Irfan Ahmad, Yasser Bin Salamah

“…The peak-to-peak tracking error is 0.5% of the <inline-formula> <tex-math notation="LaTeX">$12\mu $ </tex-math></inline-formula>m, 10Hz reference trajectory, marking a 54% and 88% performance improvement over the intelligent fuzzy controller, and classical PID controller, respectively.…”
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Modelling and Experimental Investigation of an Active Damper by Rafael Luís Teixeira, Francisco Paulo Lépore Neto, José Francisco Ribeiro

“…At low excitation frequencies, the damper prototype behaves like a single degree of freedom system which damping factor changes with the orifice size A fuzzy controller was designed and it generates the orifice reference size associated to the desired damping factor. …”
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