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New predictive control for maximum power point tracking technique based on fuzzy dynamic programming

Electrical Engineering 2025年 1-16页

作者： Megri, Abderrahim Fayçal Bayarassou, Houria Laboratory of Electrical Engineering Polytechnic of Constantine (LGEPC) National Polytechnic School of Constantine (ENPC) Constantine Algeria Laboratory of Electronics and New Technologies Oum El Bouaghi University Oum El Bouaghi Algeria

Photovoltaic energy is viewed as a very promising source in terms of cost, ease of implementation, and the range of applications using photovoltaic panels. However, conventional maximum power point tracking techniques, including methods like perturb and observe and incremental conductance, as well as methods based on artificial intelligence and metaheuristic algorithms, exhibit various drawbacks such as output signal quality, computational complexity, and implementation challenges. In this context, we propose developing a method based on a predictive controller using fuzzy dynamic programming to improve the stability and reliability of photovoltaic energy conversion. This approach is particularly advantageous under rapidly changing atmospheric conditions and offers simplicity in implementation. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： fuzzy constraint fuzzy dynamic programming fuzzy goal Model predictive control Neural network Solar photovoltaic

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fuzzy dynamic programming: Main developments and applications

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fuzzy SETS AND SYSTEMS 1996年第1期81卷 31-45页

作者： Kacprzyk, J Esogbue, AO GEORGIA INST TECHNOL SCH IND & SYST ENGNATLANTAGA 30332

We survey major developments and applications of fuzzy dynamic programming which is here advocated as a promising attempt at making dynamic programming models more realistic by a relaxation of often artificial assumptions of precision as to the constraints, goals, states and their transitions, termination time, etc. Issues related to numerical efficiency are considered. Applications in R&D planning, health care and medicine, socioeconomic regional development, energy systems, water and environmental systems, chemical engineering, etc. are surveyed.

关键词： multistage decision making under fuzziness control under fuzziness fuzzy dynamic programming fuzzy system

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fuzzy dynamic programming, fuzzy adaptive neuro control, and the general medical diagnosis problem

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COMPUTERS & MATHEMATICS WITH APPLICATIONS 1999年第11-12期37卷 37-45页

作者： Esogbue, AO Georgia Inst Technol Sch Ind & Syst Engn Atlanta GA 30332 USA

The fuzzy medical diagnosis decision models of Esogbue and Elder employed fuzzy sets theory to directly and more correctly model all the information nets useful in reaching a scientific understanding of a patient's health status. This knowledge was utilized in constructing a sensible medical hypothesis decision problem. In this paper, we show how fuzzy dynamic programming and neural networks can be used to extend the process to other phases by linking the four stages of medical hypothesis, physician's observation, preliminary diagnosis, and final diagnosis in an adroit manner. (C) 1999 Elsevier Science Ltd. All rights reserved.

关键词： fuzzy dynamic programming fuzzy sets medical diagnosis fuzzy-neuro controllers

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fuzzy dynamic programming solution of the asset allocation problem 1

Fuzzy dynamic programming solution of the asset allocation p...

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1st International IEEE Symposium on Intelligent Systems

作者： Gatev, GI Vladov, GV Tech Univ Sofia Fac Automat Sofia 1756 Bulgaria

An asset allocation problem is studied where the assets classes in investment portfolio are already selected and the profit from each assets class varies within a known range. The problem is solved using fuzzy dynamic... 详细信息

ISBN: (纸本)078037603X

关键词： Assets investment portfolio fuzzy dynamic programming optimal solution

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fuzzy dynamic programming Approach to Multistage Control of Flash Evaporator System 10th

Fuzzy Dynamic Programming Approach to Multistage Control of ...

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10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions (ICSCCW)

作者： Ahmadov, Shamil A. Gardashova, Latafat A. French Azerbaijani Univ 183 Nizami St Baku Azerbaijan Azerbaijan State Oil & Ind Univ Azadlig 35 Baku Azerbaijan

ISBN: (纸本)9783030352493;9783030352486

This article is devoted to the fuzzy dynamic programming approach to multistage control problem of flash evaporator system. In considered problem where in each stage exist the fuzzy goal and constraints. It is clear that direct application of mathematical programming theory to solving multistage problem does not lead to aim. The basic feature of this approach lies in its capability to handle any kind of constraints. In this view of point for solving multistage optimization problem is used the discrete principle of maximum and dynamic programming method.

关键词： Multistage control fuzzy condition Flash evaporator system fuzzy dynamic programming

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MARKOV-CHAINS WITH A TRANSITION POSSIBILITY MEASURE AND fuzzy dynamic-programming

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fuzzy SETS AND SYSTEMS 1994年第1期66卷 39-57页

作者： YOSHIDA, Y Faculty of Economics Kitakyushu University Kitagata Kokuraminami Kitakyushu 802 Japan

This paper constructs a Markov fuzzy process, which represents transitions of grades of fuzzy sets, with a transition possibility measure and a general state space. We analyse Snell's optimal stopping problem for the process and we apply the results to solve fuzzy dynamic programming with optimal stopping times and with general state spaces and action spaces under fuzzy transitions.

关键词： MARKOV fuzzy SYSTEM fuzzy dynamic programming SNELLS OPTIMAL STOPPING PROBLEM

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Determining the Optimal Route of Electric Vehicle Using a Hybrid Algorithm Based on fuzzy dynamic programming

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IEEE TRANSACTIONS ON fuzzy SYSTEMS 2023年第2期31卷 609-618页

作者： Velimirovic, Lazar Z. Janjic, Aleksandar Vranic, Petar Velimirovic, Jelena D. Petkovski, Ivana Serbian Acad Arts & Sci Math Inst Belgrade 11001 Serbia Univ Nis Fac Elect Engn Nish 18000 Serbia

In this work, a new method for identifying the optimal route of electric vehicles based on a hybrid model is offered. A combination of analytical hierarchical method and fuzzy dynamic programming was used to create the hybrid model. The model designed in this manner allows each user of an electric vehicle to decide the ideal route based on their needs. The case study was created using actual data from the city of Nis. The scenarios for two electric vehicle users for the schedule of charging stations and routes for the city of Nis with predefined values of travel time, charging time, and the attractiveness of the location are analyzed. Based on the acquired findings, all of the suggested model's advantages can be seen, which are principally reflected in bringing electric vehicle users to the forefront, i.e., harmonizing electric vehicle users' needs on the one hand and travel length and charging time at charging stations on the other.

关键词： Transportation Heuristic algorithms Charging stations Routing Metaheuristics dynamic programming Climate change Analytical hierarchical process electric vehicle routing problem fuzzy dynamic programming fuzzy numbers hybrid algorithm multicriteria decision making

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Enhancing fuzzy dynamic programming with interpolative reasoning

Enhancing fuzzy dynamic programming with interpolative reaso...

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IEEE International Conference on fuzzy Systems at the World Congress on Computational Intelligence (WCCI 98)

作者： Kacprzyk, J Polish Acad Sci Syst Res Inst PL-01447 Warsaw Poland

ISBN: (纸本)078034863X

We propose to use interpolative reasoning in multistage control of a fuzzy dynamic system under fuzzy constraints and fuzzy goals. First, we present the standard solution by dynamic programming, indicate numerical difficulties, and then propose to replace the source problem by its auxiliary simplified which is solved by dynamic programming, and then its solution Is "adjusted" by Interpolative reasoning technique.

关键词： multistage fuzzy control fuzzy dynamic programming fuzzy system under control interpolative reasoning

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Multiple objective (fuzzy) dynamic programming problems: a survey and some applications

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APPLIED MATHEMATICS AND COMPUTATION 2004年第3期157卷 861-888页

作者： Abo-Sinna, MA El Menoufiya Univ Fac Engn Dept Basic Engn Sci Shibin Al Kawm Egypt

Many real-world problems involve sequential or multistage decision making. dynamic programming (DP) is a powerful optimization technique that is particularly applicable to many complex problems requiring a sequence of interrelated decisions. A new methodology, multiobjective dynamic programming (MODP), which relies heavily on conventional dynamic programming, is developed as a technique for solving problems that involve conflicting objectives that obey DP characteristics. In the past two decades, a major development of multiobjective dynamic optimization has been made. MODP, one of the most provocative topics within the broader subject. A natural extension of DP is its use in conjumction with fuzzy sets. This involves the perturbation of its components in a manner that admits of systematic fuzzification. fuzzy dynamic programming (FDP) represents an advance on the Theory of DP. This paper reviews the major concepts used in MODP and FMODP and examins the current progress made in the development of the corresponding theory and methodology. (C) 2003 Elsevier Inc. All rights reserved.

关键词： multiple objective fuzzy set theory fuzzy dynamic programming interactive real-world applications

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Multiple-objective Load Optimization Control Based on fuzzy dynamic programming

Multiple-objective Load Optimization Control Based on Fuzzy ...

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2015 International Conference on Computer Science and Environmental Engineering(CSEE 2015)

作者： F.Chen P.Zeng C.Z.Zang Shenyang Institute of Automation Chinese Academy of Science University of Chinese Academy of Sciences

Direct load control DLC is one of the important means for demand response in the electricity *** with the features of direct load control strategy,this paper takes electricity benefit increase,systems peak load reduction as well as dissatisfaction reduction as objective functions,to establish multiple-objective optimization decision *** also develops a fuzzy dynamic programming approach to solve optimal control *** method is more coincident with the factual data and reduce the systems peak load further,thereby provides better decision-making for power ***,it evaluates the feasibility making using of typical summer daily load.

关键词： direct load control fuzzy dynamic programming multiple-objective load optimization

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