Results 41 to 50 of about 409,724 (255)
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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Application of Fuzzy control algorithms for electric vehicle antilock braking/traction control systems [PDF]
, 2003 —The application of fuzzy-based control strategies has recently gained enormous recognition as an approach for the rapid development of effective controllers for nonlinear time-variant systems.
Bingham, Chris +3 more
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IEEE AccessAdaptive cruise control is a system that maintains an appropriate distance from vehicles ahead while driving. Although Adaptive cruise control systems operate stably on flat roads, they can become unstable on sloped roads. This study presents a method to
Kang-Hyeon Choi, Hyuk-Jun Chang
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Evaluating the Packing Process in Food Industry Using Fuzzy X and S Control Charts [PDF]
International Journal of Computational Intelligence Systems, 2011 The fuzzy set theory addresses the development of concepts and techniques for dealing with uncertainty or impression conditions. If the collected data from a process include vagueness due to human subjectively or measurement system, fuzzy control charts ...
Nihal Erginel +3 more
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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 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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Fuzzy service control of queueing systems
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 1999 We consider queueing systems in which the service rate is the controlled variable. The cost depends on the queue length and selected rate. The objective is to choose the service rate dynamically, based on the state of the system so as to minimize the average cost over an infinite horizon.
Φιλλης Ιωαννης(http://users.isc.tuc.gr/~yphillis) +2 more
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Performance Evaluation of Road Traffic Control Using a Fuzzy Cellular Model
, 2011 In this paper a method is proposed for performance evaluation of road traffic control systems. The method is designed to be implemented in an on-line simulation environment, which enables optimisation of adaptive traffic control strategies.
A.A. Kurzhanskiy +12 more
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Expert supervision of an anti-skid control system of a commercial aircraft [PDF]
, 1996 A rule-based supervising system that incorporates fuzzy logic has been designed to back-up a conventional anti-skid braking system (ABS). Expressing the expert knowledge about the ABS in terms of linguistic rules, the supervising fuzzy system adapts the ...
Bordeneuve-Guibé, Joël +3 more
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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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