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Hybrid Planning for Self-Optimization in Railbound Mechatronic Systems
[chapter]
2011
Intelligent Mechatronics
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For this purpose it relies on historic data and on the two fuzzy models for the shuttle and the track. ...
Optimization techniques are used to identify the best suited controller configurations due to the objective functions. ...
It is simultaneously a monograph because it presents several new results and ideas and further developments and explanation of existing algorithms which are brought together and published in the book for ...
doi:10.5772/15451
fatcat:wqmp3jabmzde5d5tnydfj4egmy
Greenhouse climate hierarchical fuzzy modelling
2005
Control Engineering Practice
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A large-scale model can be easily readable if it is partitioned into several independent smaller models to represent functional relations of the processes involved in the system. ...
This new methodology was tested to split the inside greenhouse air temperature and humidity flat fuzzy models into fuzzy sub-models, which have alike counterpart on the physical sub-models. r ...
Acknowledgements This work was supported by the Portuguese Ministry of Science and Technology (MCT), under the project SAPIENS-POCTI/33574/99. ...
doi:10.1016/j.conengprac.2004.05.007
fatcat:6h4hesyn65b5zhs5hhnufew63y
Obstacle Avoidance of Mobile Robot Based on Behavior Hierarchy by Fuzzy Logic
2012
International Journal of Fuzzy Logic and Intelligent Systems
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The navigation strategy is based on the combination of fuzzy rules tuned for both goal-approach and obstacle-avoidance. ...
Instead of using "sensor fusion" method which generates the trajectory of a robot based upon the environment model and sensory data, "command fusion" method is used to govern the robot motions. ...
Fuzzy logic is particularly well suited for implementing such controllers due to its capabilities of inference and approximate reasoning under uncertainty. ...
doi:10.5391/ijfis.2012.12.3.245
fatcat:76thhyvc65fbtllkepang4qhe4
Fuzzy behavior hierarchies for multi-robot control
2002
International Journal of Intelligent Systems
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This article presents an approach to hierarchical control design and synthesis for the case where the collection of subsystems is comprised of fuzzy logic controllers and fuzzy knowledge-based decision ...
The approach is used to implement hierarchical behavior-based controllers for autonomous navigation of one or more mobile robots. ...
Acknowledgment The work described in this article was started at the Center for Autonomous Control Engineer ...
doi:10.1002/int.10032
fatcat:dsz4cd25prbmtodu7yhjntbehu
A context switchable fuzzy inference chip
2006
IEEE transactions on fuzzy systems
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A context refers to a situation or scenario of an application requiring specific domain knowledge. In particular, our focus is on the class of applications involving embedded fuzzy control. ...
The chip architecture is described and details on the design of the chip is presented. ...
From simulations on control applications presented in Section V, the error due to hierarchical averaging has no noticeable effect on the functional performance of the RFIC.
F. ...
doi:10.1109/tfuzz.2006.876735
fatcat:rgxj5ptlwrgmfmhxrlt6kfigli
Hierarchical Fuzzy Signature and Neuro-Fuzzy Hybrid System for QMS Control
2021
International Journal of Emerging Technology and Advanced Engineering
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Hence, to provide the control of QMS problem insurance, two approaches are investigated which are Hierarchical Fuzzy Signature (HFS) and NeuroFuzzy Hierarchical Hybrid system (NFHH), respectively. ...
However, NFHH reaches the best accuracy, reduces the number of neurons and uses the parameters that keep the universal approximated property of neural networks and fuzzy systems. ...
Its hierarchical structure is able to treat fuzzy variables. Therefore, it reduces the complexity of the number and meta-levels of inputs and outputs. ...
doi:10.46338/ijetae1121_17
fatcat:twltsnenpvb3ll7s32ld3ftw4q
Intellectual method of operational evaluation of the network element state to ensure the quality of services in corporate multiservice communications networks
2020
E3S Web of Conferences
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In the proposed approach, intelligent agents are created as hierarchical fuzzy situational networks, in which control solutions, in contrast to known methods based on the use of reference situations, are ...
applied based on solving a hierarchical set of optimization problems using fuzzy mathematical programming methods. ...
As noted in [28] [29] [30] , its application makes it possible to increase the PGA resistance to random errors in the estimation of the gradient of the quality functional. ...
doi:10.1051/e3sconf/202020305017
fatcat:ncx7s4vhf5cyxfrlabw2n5kpge
Design and analysis of experiments in ANFIS modeling for stock price prediction
2011
International Journal of Industrial Engineering Computations
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At the computational point of view, a fuzzy system has a layered structure, similar to an artificial neural network (ANN) of the radial basis function type. ...
In this paper, we implement the design of experiment (DOE) technique to identify the significant parameters in the design of adaptive neuro-fuzzy inference systems (ANFIS) for stock price prediction. ...
In this way, it is quite worthwhile to determine which variables have the most relevance and the greatest influence on the behavior and the performance of the ANFIS. ...
doi:10.5267/j.ijiec.2011.01.001
fatcat:hks4fefyrjhmzckvrmu7lgkone
Enhancing community based health programs in Iran: a multi-objective location-allocation model
2016
Health Care Management Science
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The access and success efforts of CBOs vary, depending on the integration between health care providers and CBOs but also in relation to the community participation level. ...
To achieve widespread results, it is important to carefully design an efficient network which can serve as a bridge between the community and the health care system. ...
Acknowledgments The authors gratefully acknowledge Iran Drug Control Headquarters and the local State Welfare Organization in Shiraz for providing us with their data. ...
doi:10.1007/s10729-016-9366-2
pmid:27115695
fatcat:igvpsqtnxbhrhgdrz7wlzimu3i
A generalized framework for ANFIS synthesis procedures by clustering techniques
2020
Applied Soft Computing
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The application of machine learning and soft computing techniques for function approximation is a widely explored topic in literature. ...
Conversely, Adaptive Neuro Fuzzy Inference Systems (ANFISs) demonstrated to be very accurate models featured by a considerable degree of interpretability. ...
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. ...
doi:10.1016/j.asoc.2020.106622
fatcat:7lx5tqhy75hz5ib4ski6jtiwjq
HFRBC-GA: A fuzzy classifier for energy systems applications
2013
2013 Sustainable Internet and ICT for Sustainability (SustainIT)
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In order to guarantee high interpretability and to avoid the explosion of the number of rules, only the necessary partitions are built as the hierarchical level increases. ...
The fuzzy classifier is actually the union of several fuzzy systems built on input domain regions increasingly smaller. ...
Section II and III, present, respectively, the proposed hierarchical approach to fuzzy classifiers construction, and the application of the proposed approach to three real-world case studies regarding ...
doi:10.1109/sustainit.2013.6685191
dblp:conf/ifip6-3/DAndreaL13
fatcat:vxrxfvn4z5hellun7klfgs3aui
MULTI-AGENT ROBOT ARCHITECTURES: THE DECOMPOSITION ISSUE AND A CASE STUDY
1998
International journal on artificial intelligence tools
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This granularity decision is made on the basis of specific criteria of control localization, knowledge decoupling and interaction minimization so as to identify the decision points of the overall functionality ...
of the granularity level, i.e., the decision on decomposing the overall desired functionality physically or across tasks. ...
Under this agent-based perspective, it is attempted to divide the universe of discourse into subsets, and to implement the subsystems that approximate this function in every one of these subsets. ...
doi:10.1142/s021821309800010x
fatcat:kawf2ig4u5g3da6euf5nkf7utm
Soft computing and metaheuristics: using knowledge and reasoning to control search and vice-versa
2004
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation VI
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In the context of control problems, we describe the use of evolutionary algorithms to perform offline parametric tuning of fuzzy controllers, and the use of fuzzy supervisory controllers to perform on-line ...
In the area of optimization, we illustrate the application of fuzzy controllers to manage the transition from exploration to exploitation of evolutionary algorithms that solve the optimization problem. ...
In the second problem, we used a hierarchical fuzzy controller, whose KB encoded the heuristics for a fuzzy gain scheduling, to implement the meta-control. ...
doi:10.1117/12.512627
fatcat:s6re3edg4nfs7ca7rovxnoisie
A Comprehensive Review of Control Strategies and Optimization Methods for Individual and Community Microgrids
2022
IEEE Access
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Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000. ...
ACKNOWLEDGMENT The authors would like to thank the Spanish Ministerio de Ciencia, Innovación y Universidades (MICINN)-Agencia Estatal de Investigación (AEI) and the European Regional Development Funds ...
(ERDF), by grant PGC2018-098946-B-I00 funded by MCIN/AEI/10.13039/501100011033/ and by ERDF A way of making Europe. ...
doi:10.1109/access.2022.3142810
fatcat:sso4wmc5wzhzxbp6mt7i3kjl5y
An Improved Optimization Function to Integrate the User's Comfort Perception into a Smart Home Controller Based on Particle Swarm Optimization and Fuzzy Logic
2023
Sensors
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The results show that it is more beneficial to use the proposed comfort function method only when the user requires SHC to prioritize comfort at the expense of financial savings. ...
Therefore, this paper proposes the modeling of a comfort function that takes into account the user's perceptions using fuzzy logic. ...
Both of the aforementioned controls are based on fuzzy logic. Finally, in [34] , a controller was proposed that considers DG and ESS to minimize the energy cost. ...
doi:10.3390/s23063021
fatcat:ezddys3tofh3fa5mb4qp5e5aba
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