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Recent advances in mechatronics
1996
Robotics and Autonomous Systems
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Four years has since then passed and in order to discuss the most recent advances, it has been decided to hold another similar conference during 24- ...
The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or ...
The work was supported in part by the Asahi Glass Foundation, and by the Ministry of Education, Science and Culture under Grant-in-Aid for Developmental Scientific Research. ...
doi:10.1016/s0921-8890(96)00039-5
fatcat:l5fd4hwa2rbu3l6f2jucyj2fxy
A Systematic Review on the Advancement in the Study of Fuzzy Variational Problems
2022
Journal of Function Spaces
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In this paper, we provide a systematic review to recap the history of variational principle in the calculus of variations and compare it with the existing techniques in the fuzzy setting. ...
We begin with the preliminary concepts and definitions of fuzzy theory and scrutinize the Euler-Lagrange's strategy via systematically searched studies concerning fuzzy variational problems to highlight ...
The authors would like to thank the editor and the reviewers for their helpful comments and suggestions which have led to the improvement of the earlier version of this paper. ...
doi:10.1155/2022/8037562
fatcat:6ofcz27x6vcs7ophufvjwiktni
Advanced Time Series Forecasting Methods
[chapter]
2012
Advances in Time Series Forecasting
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In contrast to conventional time series methods, various theoretical assumptions do not need to be checked in fuzzy time series approach. ...
The number of output neuron is always equal to one so there is no need to include this number in the solution vector. Thus, each solution x has two elements. ...
Bivariate fuzzy time series forecasting model 6, 96, 97, 118, 11, 26, 27, 30, 33, 56, 96, 97, 102, 104. C Combined forecasts 108, 109, 110, 115. ...
doi:10.2174/978160805373511201010003
fatcat:zosgo2jh2rhw7mnu2r4ctm3w74
III Advanced Topics
[chapter]
2016
Soft Computing Applications in Sensor Networks
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Acknowledgments This work has been supported in part by AGAUR Project under Grant ...
Evaluate the solution based on optimization criteria given in Equation (7.6) . Find the best solutions of the tournament. ...
In our solution approach, the best solution found until now, based on the optimization criteria given in Equation (7.6), is stored. ...
doi:10.1201/9781315372020-13
fatcat:ze5voikcfbfi5lubz5t5oismua
Applying Different Learning Rules in Neuro-Symbolic Integration
2012
Advanced Materials Research
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Comparisons are made between these three rules to see which rule is better or outperformed other rules in the aspects of computation time, memory and complexity. ...
We compare the global minima ratio (Number of global solutions/Number of runs) and running time (time needed for the neurons to relax to final states) between the direct method and FCM algorithm in doing ...
Hereby, we will analyze the usage of fuzzy Hopfield neural network clustering technique in enhancing the performance of doing logic programming in Hopfield network. ...
doi:10.4028/www.scientific.net/amr.433-440.716
fatcat:723c3bg5gfgxbfeigjgyjjfrqe
Quadrotor Control Using Advanced Control Techniques
2019
International Journal of Image Graphics and Signal Processing
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The performance of the designed control structure is evaluated through the response and minimizing the error of the position and attitude. ...
The first controller is Fuzzy-PID, it is considered as a reference benchmark to compare its results with the others two controllers which are PID tuned using GA and ANFIS. ...
In hover arrangements the dynamics of attitude do not matter much in general, however in situations where the robot needs to make maneuvers, it is basic to have a faster attitude controller. ...
doi:10.5815/ijigsp.2019.02.05
fatcat:ba7nmdtqlza7phci5miu6ohvwe
Spatial Analysis and Fuzzy Relation Equations
2011
Advances in Fuzzy Systems
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We implement an algorithm that uses a system of fuzzy relation equations (SFRE) with the max-min composition for solving a problem of spatial analysis. ...
We find that the best solutions and the related results are associated to each subzone. Among others, we define an index to evaluate the reliability of the results. ...
After these results, many researchers have found algorithms which determine minimal solutions of max-min fuzzy relation equations (cf. e.g., [11] [12] [13] [14] [15] [16] [17] [18] ). ...
doi:10.1155/2011/429498
fatcat:r7vd2ugkejastivtguqztwml2i
Recent Advances in Structural Optimization
2011
Proceedings of the International Congress of Mathematicians 2010 (ICM 2010)
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In this paper we present the main directions of research in Structural Convex Optimization. ...
As examples, we consider polynomialtime interior-point methods, smoothing technique, minimization of composite functions and some other approaches. ...
Solve these system by sequential exclusion of variables. Imagine for a moment that we do not know how to solve the system of linear equations. ...
doi:10.1142/9789814324359_0174
fatcat:ffznkvzerjbnjexfiqa4mgusgm
Education of Future Advanced Matlab Users
[chapter]
2012
MATLAB - A Fundamental Tool for Scientific Computing and Engineering Applications - Volume 3
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their support of this paper. ...
Acknowledgement We would like to thank Slovak Cultural and Educational Grant Agency KEGA under contract number 032STU-4/2011 and Slovak Scientific Grant Agency VEGA under contract number 1/1256/12 for ...
Fuzzy logic can model systems in the terms of If-Then rules natural to our thinking. Inputs and outputs to the fuzzy system are modelled through fuzzy membership functions. ...
doi:10.5772/46465
fatcat:hpiun74frbakldvpopvmhx5lja
Advanced HVAC Control: Theory vs. Reality
2011
IFAC Proceedings Volumes
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The paper analyzes challenges and constraints when implementing a control strategy in real projects, and covers topics such as missing sensors, legacy controllers and legislative changes needed to motivate ...
Finally, MPC is a powerful and industrially-proven technology for optimal control of complex systems, but its use in building control seems to be so far limited. ...
This creates a need for optimization tools easy to install with minimal retrofit needs. ...
doi:10.3182/20110828-6-it-1002.03085
fatcat:jcl3cytspnavvnqzs4lv5re6me
Method for Optimizing the Dual of Linear Fuzzy Programming Problems
2016
JOURNAL OF ADVANCES IN MATHEMATICS
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This article's goal is to support the existence of the dual in a Linear Fuzzy Real environment and focus on its application to Linear fuzzy program problems. ...
It is also proposed here that optimizing fuzzy constraints and objectives of the dual linear program that consist of a triplet and are much like triangular fuzzy numbers, but differ in that they are a ...
We have observed above that "up to Zeroic" the solution of linear equations depends on the solution of crisp equations involving the middle values, i.e., the b's in µ(a,b,c) . ...
doi:10.24297/jam.v12i2.540
fatcat:7og3jzdeczhjbihbe47vxv7g2q
Comparison of Flight Control System Design Methods in Landing
[chapter]
2011
Advances in Flight Control Systems
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With respect to the elevator, we find the relation Result of optimal trajectory for the selected B-727 is presented in Fig (3) through (8) . ...
the vertical plane in order to do the approaching of runway surface. ...
The aim of the book Advances in Flight Control Systems is to bring together reputable researchers from different countries in order to provide a comprehensive coverage of advanced and modern topics in ...
doi:10.5772/15596
fatcat:ejh3oim44vbwrov7aq3ghwtzdu
Advances in learning for intelligent mobile robots
2004
Intelligent Robots and Computer Vision XXII: Algorithms, Techniques, and Active Vision
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The purpose of this paper is to present a discussion of recent technical advances in learning for intelligent mobile robots with examples of adaptive, creative and perceptual learning. ...
A further level of intelligence called understanding may involve not only sensing, adaptation and learning but also creative, perceptual solutions involving models of not only the eyes and brain but also ...
J1 is a function of t related to tracking error. J2 is to minimize the distance of the robot from A to T since the cost is directly related to the distance the robot travels. ...
doi:10.1117/12.571195
fatcat:u37x6ljoe5hmnhfsrii54pcez4
Advanced Deep Learning Framework for Stock Value Prediction
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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To know the anticipated stock value we need some advanced prediction technology for stock market. ...
The prediction error is very minimal as visible from outcome graph of framework ...
In modern days the working process of random fuzzy variable are also applied to find solution in the field of supply chain master planning and network [22, 23] . ...
doi:10.35940/ijitee.b2453.0881019
fatcat:n6ogubhp7namxag7rnst3vegem
A fuzzy-based approach to evaluate multi-objective optimization for resource allocation in cloud
2018
International Journal of Advanced Technology and Engineering Exploration
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In this paper, we use fuzzy logic to generate the random value of objectives' co-efficient. ...
In this research, we aim to address the issue of resource allocation through a weighted sum based multi-objective optimization technique. ...
Conflicts of interest The authors have no conflicts of interest to declare. ...
doi:10.19101/ijatee.2018.542020
fatcat:tzxvetqgknab7ifm7dosm76xbe
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