Fuzzy Stabilization of Fuzzy Control Systems
, 2008 This chapter presented a practical approach to stabilize fuzzy systems based on adaptive nonlinear feedback using a fuzzy stabilizer in the feedback loop. For this we needed to identify the nonlinearity range of the system. The fuzzy stabilizer is tuned so that the system nonlinearities lie in a bounded sector as delivered by using the circle criterion
Elkhatib, Mohamed M., Soraghan, John J.
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Reinforcement Learning-Based Adaptive Optimal Fuzzy MPPT Control for Variable Speed Wind Turbine
IEEE Access, 2022 A reinforcement learning-based adaptive optimal fuzzy controller is proposed for maximum power point tracking (MPPT) control of a variable-speed permanent magnet synchronous generator-based wind energy generation system.
Nga Thi-Thuy Vu +2 more
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FUZZY CONTROL OF QUEUEING SYSTEMS
, 2014 . 1: Introduction -- Ch. 2: Control of the number of servers -- Ch. 3: Control of the service rate -- Ch. 4: Control of the queue discipline -- Ch.
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Design of Multi-Rate Multi-Zone Wireless Fuzzy Temperature Control System for Greenhouse Application
Journal of Engineering, 2020 sensor sampling rate (SSR) may be an effective and crucial field in networked control systems. Changing sensor sampling period after designing the networked control system is a critical matter for the stability of the system. In this article, a wireless
Qays Jebur Sabr
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Optimal Intelligent Control for Doubly Fed Induction Generators
Mathematics, 2022 For the first time, a novel concept of merging computational intelligence (the type-2 fuzzy system) and control theory (optimal control) for regulator and reference tracking in doubly fed induction generators (DFIGs) is proposed in this study.
Lingqin Xia +5 more
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Robust Multi-Criteria Optimal Fuzzy Control of Continuous-Time Nonlinear Systems [PDF]
, 2016 This paper presents a novel fuzzy control design of continuous-time nonlinear systems with multiple performance criteria. The purpose behind this work is to improve the traditional fuzzy controller performance to satisfy several performance criteria ...
Wang, Xin, Yaz, Edwin E.
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Robust Multi-Criteria Optimal Fuzzy Control of Discrete-Time Nonlinear Systems [PDF]
, 2016 This paper presents a novel fuzzy control design of discrete-time nonlinear systems with multiple performance criteria. The purpose behind this work is to improve the traditional fuzzy controller performance to satisfy several performance criteria ...
Wang, Xin, Yaz, Edwin E.
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Generating Interpretable Fuzzy Controllers using Particle Swarm Optimization and Genetic Programming
, 2018 Autonomously training interpretable control strategies, called policies, using pre-existing plant trajectory data is of great interest in industrial applications.
Alba E. +9 more
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Fuzzy Logic based Autonomous Parking Systems -- Part III: A Fuzzy Decision Tree System [PDF]
arXiv, 2019 This paper proposes a robust design of Hybrid Fuzzy Controller for speed and steering angle control in an Intelligent Autonomous Parking System (IAPS). The Hybrid Fuzzy Controller consists of a Base Fuzzy Controller (BFC) and a Supervisory Fuzzy Decision Tree Controller (SFDTC).
arxiv
Development a model of an adaptive fuzzy neural network controller for the control system of a synchronous motor with permanent magnet throttle bypass in the ammonia synthesis process [PDF]
E3S Web of ConferencesIn this work, we present an adaptive fuzzy controller utilizing a fuzzy neural network for the control system of a synchronous motor with permanent magnet throttle bypass in the ammonia synthesis process.
Khalilov Azim
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