دانلود رایگان مجموعه مقالات علمی اشپرینگر در زمینه منطق فازی — بخش دوازدهم

منطق فازی (Fuzzy Logic) اولین بار در پی تنظیم نظریه مجموعه‌های فازی به وسیله پروفسور لطفی زاده (۱۹۶۵ میلادی) در صحنه محاسبات نو ظاهر شد. در واقع منطق فازی از منطق ارزش‌های «صفر و یک» نرم‌افزارهای کلاسیک فراتر رفته و درگاهی جدید برای دنیای علوم نرم‌افزاری و رایانه‌ها می‌گشاید، زیرا فضای شناور و نامحدود بین اعداد صفر و یک را نیز در منطق و استدلال‌های خود به کار می‌گیرد. در ادامه مقالات علمی انتشارات بین المللی اشپرینگر (Springer) در زمینه منطق فازی (Fuzzy Logic) برای دانلود آمده است. می توانید برای دانلود هر یک از مقالات از سرور دانلود متلب سایت، بر روی لینک دانلود هر یک از آن ها، کلیک کنید.

این نوشته حاوی بخشی از مجموعه کامل مقالات است. برای دریافت سایر بخش ها، به لینک زیر مراجعه نمایید:

دانلود رایگان مجموعه مقالات علمی اشپرینگر در زمینه منطق فازی — فهرست اصلی

عنوان اصلی مقاله Intelligent and efficient development of wireless networks: A review of cognitive radio networks
نوع مقاله مقاله ژورنال
نویسندگان Ping Zhang, Yang Liu, ZhiYong Feng, QiXun Zhang, Qian Li, Ding Xu
چکیده / توضیح Facing the challenges on how to improve spectrum efficiency and how to realize heterogeneous network convergence in future wireless networks, a cognitive radio network (CRN) is proposed as one of the solutions. This has become a major research topic in recent years and it is timely to give an overview of the development of CRN and to summarize key issues and technologies. The fundamental concepts of CRN, including the cognitive cycle model, the network architecture, and the cognitive ability and intelligent decision functions, are introduced in detail based on recent advances. Key issues for each topic, followed with recent research on theory and method, are then classified and the industrialization developments of CRN testbeds based on TD-LTE cellular system and standards are briefly presented. Finally, conclusions are reached on the perspectives and directions of future development.
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عنوان اصلی مقاله Characteristics of the Bohai Sea oil spill and its impact on the Bohai Sea ecosystem
نوع مقاله مقاله ژورنال
نویسندگان Jie Guo, Xin Liu, Qiang Xie
چکیده / توضیح In this paper, ENVISAT ASAR data and the Estuary, Coastal and Ocean Model was used to analyze and compare characteristics of the Bohai Sea oil spill. The oil slicks have spread from the point of the oil spill to the east and north-western Bohai Sea. We make a comparison between the changes caused by the oil spill on the chlorophyll concentration and the sea surface temperature using MODIS data, which can be used to analyze the effect of the oil spill on the Bohai Sea ecosystem. We found that the Bohai Sea oil spill caused abnormal chlorophyll concentration distributions and red tide nearby area of oil spill.
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عنوان اصلی مقاله Participation of large-scale wind power generation in power system frequency regulation
نوع مقاله مقاله ژورنال
نویسندگان HaiShun Sun, Ju Liu, JinYu Wen, ShiJie Cheng, Cheng Luo, LiangZhong Yao
چکیده / توضیح The initiative participation of wind power generators in power system frequency regulation is an inevitable demand to ensure power system safe operation with large-scale wind power integration. However, it is principally difficult for conventional wind turbines to participate in power system frequency regulation. For this reason, solution to this problem is becoming a hot topic in the current studies. This paper systematically reviews the relevant research progresses in the control strategies and the capability assessment of using wind power generators in the power system frequency regulation, including the comparing among the emulating inertia control, the droop control, the rotor speed control, the pitch angle control and the coordinated control. Also, future research in this area is pointed out in the paper.
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عنوان اصلی مقاله Exponential Stability of Uncertain T-S Fuzzy Switched Systems with Time Delay
نوع مقاله مقاله ژورنال
نویسندگان Fatima Ahmida, Houssaine El Tissir
چکیده / توضیح This paper discusses the delay-dependent exponential stability of a class of uncertain T-S fuzzy switched systems with time delay. The method is based on Lyapunov stability theorem and free weighting matrices approach. Two illustrative examples are given to demonstrate the effectiveness of the proposed method.
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عنوان اصلی مقاله A Precise Robust Fuzzy Control of Robots Using Voltage Control Strategy
نوع مقاله مقاله ژورنال
نویسندگان Mohammad Mehdi Fateh, Sara Fateh
چکیده / توضیح Fuzzy control of robot manipulators with a decentralized structure is facing a serious challenge. The state-space model of a robotic system including the robot manipulator and motors is in non-companion form, multivariable, highly nonlinear, and heavily coupled with a variable input gain matrix. Considering the problem, causes and solutions, we use voltage control strategy and convergence analysis to design a novel precise robust fuzzy control (PRFC) approach for electrically driven robot manipulators. The proposed fuzzy controller is Mamdani type and has a decentralized structure with guaranteed stability. In order to obtain a precise response, we regulate a fuzzy rule which governs the origin of the tracking space. The proposed design is verified by stability analysis. Simulations illustrate the superiority of the PRFC over a proprotional derivative like (PD-like) fuzzy controller applied on a selective compliant assembly robot arm (SCARA) driven by permanent magnet DC motors.
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عنوان اصلی مقاله Stability Analysis of Parallel Fuzzy P + Fuzzy I + Fuzzy D Control Systems
نوع مقاله مقاله ژورنال
نویسندگان Vineet Kumar, A. P. Mittal, R. Singh
چکیده / توضیح The study presented in this paper is in continuation with the paper published by the authors on parallel fuzzy proportional plus fuzzy integral plus fuzzy derivative (FP + FI + FD) controller. It addresses the stability analysis of parallel FP + FI + FD controller. The famous “small gain theorem” is used to study the bounded-input and bounded-output (BIBO) stability of the fuzzy controller. Sufficient BIBO-stability conditions are developed for parallel FP + FI + FD controller. FP + FI + FD controller is derived from the conventional parallel proportional plus integral plus derivative (PID) controller. The parallel FP + FI + FD controller is actually a nonlinear controller with variable gains. It shows much better set-point tracking, disturbance rejection and noise suppression for nonlinear processes as compared to conventional PID controller.
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عنوان اصلی مقاله State Feedback Tracking Control for Indirect Field- oriented Induction Motor Using Fuzzy Approach
نوع مقاله مقاله ژورنال
نویسندگان M. Allouche, M. Chaabane, M. Souissi, D. Mehdi, F. Tadeo
چکیده / توضیح This paper deals with the synthesis of fuzzy controller applied to the induction motor with a guaranteed model reference tracking performance. First, the Takagi-Sugeno (T-S) fuzzy model is used to approximate the nonlinear system in the synchronous d-q frame rotating with field-oriented control strategy. Then, a fuzzy state feedback controller is designed to reduce the tracking error by minimizing the disturbance level. The proposed controller is based on a T-S reference model in which the desired trajectory has been specified. The inaccessible rotor flux is estimated by a T-S fuzzy observer. The developed approach for the controller design is based on the synthesis of an augmented fuzzy model which regroups the model of induction machine, fuzzy observer, and reference model. The gains of the observer and controller are obtained by solving a set of linear matrix inequalities (LMIs). Finally, simulation and experimental results are given to show the performance of the observer-based tracking controller.
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عنوان اصلی مقاله State Observer Based Dynamic Fuzzy Logic System for a Class of SISO Nonlinear Systems
نوع مقاله مقاله ژورنال
نویسندگان Mohamed Hamdy
چکیده / توضیح This paper presents an observer based dynamic fuzzy logic system (DFLS) scheme for a class of unknown single-input single-output (SISO) nonlinear dynamic systems with external disturbances. The proposed approach does not need the availability of the state variables. Within this scheme, the DFLS is employed to identify the unknown nonlinear dynamic system. The control law and parameter adaptation laws of the DFLS are derived based on Lyapunov synthesis approach. The control law is robustfied in H8 sense to attenuate external disturbance, model uncertainties, and fuzzy approximation errors. It is shown that under appropriate assumptions, it guarantees the boundedness of all the signals in the closed-loop system and the asymptotic convergence to zero of tracking errors. The proposed method is applied to an inverted pendulum system to verify the effectiveness of the proposed algorithms.
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عنوان اصلی مقاله Position Control of Electro-hydraulic Actuator System Using Fuzzy Logic Controller Optimized by Particle Swarm Optimization
نوع مقاله مقاله ژورنال
نویسندگان Daniel M. Wonohadidjojo, Ganesh Kothapalli, Mohammed Y. Hassan
چکیده / توضیح The position control system of an electro-hydraulic actuator system (EHAS) is investigated in this paper. The EHAS is developed by taking into consideration the nonlinearities of the system: the friction and the internal leakage. A variable load that simulates a realistic load in robotic excavator is taken as the trajectory reference. A method of control strategy that is implemented by employing a fuzzy logic controller (FLC) whose parameters are optimized using particle swarm optimization (PSO) is proposed. The scaling factors of the fuzzy inference system are tuned to obtain the optimal values which yield the best system performance. The simulation results show that the FLC is able to track the trajectory reference accurately for a range of values of orifice opening. Beyond that range, the orifice opening may introduce chattering, which the FLC alone is not sufficient to overcome. The PSO optimized FLC can reduce the chattering significantly. This result justifies the implementation of the proposed method in position control of EHAS.
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عنوان اصلی مقاله Adaptive Tracking Control of Uncertain MIMO Nonlinear Systems with Time- varying Delays and Unmodeled Dynamics
نوع مقاله مقاله ژورنال
نویسندگان Xiao-Cheng Shi, Tian-Ping Zhang
چکیده / توضیح In this paper, adaptive neural tracking control is proposed based on radial basis function neural networks (RBFNNs) for a class of multi-input multi-output (MIMO) nonlinear systems with completely unknown control directions, unknown dynamic disturbances, unmodeled dynamics, and uncertainties with time-varying delay. Using the Nussbaum function properties, the unknown control directions are dealt with. By constructing appropriate Lyapunov-Krasovskii functionals, the unknown upper bound functions of the time-varying delay uncertainties are compensated. The proposed control scheme does not need to calculate the integral of the delayed state functions. Using Young’s inequality and RBFNNs, the assumption of unmodeled dynamics is relaxed. By theoretical analysis, the closed-loop control system is proved to be semi-globally uniformly ultimately bounded.
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