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Adaptive Controllers for Enhancement of Stand-Alone Hybrid System Performance

Yew Weng Kean, Agileswari Ramasamy, Shivashankar Sukumar, Marayati Marsadek
2018 International Journal of Power Electronics and Drive Systems  
with a controller that is tuned by the traditional trial and error method.  ...  Simulation results showed that the optimized adaptive controller is better as it recorded an error improvement of 42.59%.  ...  ACKNOWLEDGEMENTS The authors would like to thank Universiti Tenaga Nasional (Bold grant project code:10289176/B/9/2017/49) for supporting the research work.  ... 
doi:10.11591/ijpeds.v9.i3.pp979-986 fatcat:3yzatxskajbgvndnphyf3ztfpu

Hybrid Adaptive Modeling To Enhance Robustness Of Real-Time Optimization

Hussain Syed Asad, Richard Kwok Kit Yuen, Gongsheng Huang
2017 Zenodo  
Real-time optimization has been considered an effective approach for improving energy efficient operation of heating, ventilation, and air-conditioning (HVAC) systems.  ...  A case study is used to illustrate the implementation of the proposed method.  ...  METHODOLOGY A. Real-Time Optimization of HVAC Systems Real-time optimization of HVAC systems is used to find the optimal setting or set-points for system operation.  ... 
doi:10.5281/zenodo.1129214 fatcat:gkgvdefqurgr5c7jxgyaaymbcm

Comparison of a Brain-Based Adaptive System and a Manual Adaptable System for Invoking Automation

Nathan R. Bailey, Mark W. Scerbo, Frederick G. Freeman, Peter J. Mikulka, Lorissa A. Scott
2006 Human Factors  
Two experiments are presented that examine alternative methods for invoking automation.  ...  The remaining participants were yoked to participants from the adaptive condition and received the same schedule of mode switches, but their EEG had no effect A comparison of participants from the adaptive  ...  These systems can adjust their methods of operation, allowing for a restructuring of the task environment based on evolving situational demands.  ... 
doi:10.1518/001872006779166280 pmid:17240718 fatcat:265s3fnybraihjqblch2d7n3ay

Research on Detection Strategies and Algorithms of the Virtual Machine Exception Under a Cloud Platform

Hong-Li LI
2017 DEStech Transactions on Computer Science and Engineering  
strategy during the iterative procedure, improved the partition efficiency of detection domain and the real-time performance of anomaly detection.  ...  The real-time performance of detection on visual machines in detection domain will be influenced by the efficiency of partitioning detection domains.  ...  In a cloud environment anomaly detection system for the performance of the virtual machine, in order to avoid interference with the operating environment of the anomaly detection caused by different virtual  ... 
doi:10.12783/dtcse/aice-ncs2016/5718 fatcat:ibqpiiie75gt5bzglxjta7mgsa

A User-Adaptive Gesture Recognition System Applied to Human-Robot Collaboration in Factories

Eva Coupeté, Fabien Moutarde, Sotiris Manitsaris
2016 Proceedings of the 3rd International Symposium on Movement and Computing - MOCO '16  
We are also interested in a system of gestures recognition which can adapt itself to the operator.  ...  In this paper, we study an adaptation of the recognition system by modifying the learning database with a addition very small amount of gestures.  ...  performance of the system.  ... 
doi:10.1145/2948910.2948933 dblp:conf/moco/CoupeteMM16 fatcat:xrte5uvibnbrjdompaggzelaae

Performance Enhancement with Real-Time Physiologically Controlled Adaptive Aiding

Glenn F. Wilson, Jared D. Lambert, Chris A. Russell
2000 Proceedings of the Human Factors and Ergonomics Society Annual Meeting  
In the case of mental workload, system performance could be improved by reducing task demands during periods of operator overload.  ...  One method of determining operator functional state is by monitoring the operatorÕs physiology.  ...  They suggest that these methods could be used to provide accurate and reliable operator state assessment to an adaptive aiding system.  ... 
doi:10.1177/154193120004401316 fatcat:togxu32y3zhb5okbyhydo2ccuy

A Dynamic Replication Mechanism to Reduce Response-Time of I/O Operations in High Performance Computing Clusters

Ehsan Mousavi Khaneghah, Seyedeh Leili Mirtaheri, Lucio Grandinetti, Amir Saman Memaripour, Mohsen Sharifi
2013 2013 International Conference on Social Computing  
In order to improve the response time of I/O operations, we have proposed a mechanism that estimates the required number of replicas for each file based on its popularity.  ...  File replication is a way to improve the performance of I/O operations and increase network utilization by storing several copies of every file.  ...  As a result of increasing the replication factor, reader nodes can utilize the available bandwidth and the performance of I/O operations will be improved.  ... 
doi:10.1109/socialcom.2013.110 dblp:conf/socialcom/KhaneghahMGMS13 fatcat:smxn25jtbvahlgzepvuyh5tly4

Should the parameters of a BCI translation algorithm be continually adapted?

Dennis J. McFarland, William A. Sarnacki, Jonathan R. Wolpaw
2011 Journal of Neuroscience Methods  
The performance of the SMR-based BCI was enhanced by adaptive updating of the feature weights or adaptive normalization of the features.  ...  BCI operation.  ...  In contrast, these adaptive methods do not appear to improve the performance of a P300-based BCI.  ... 
doi:10.1016/j.jneumeth.2011.04.037 pmid:21571004 pmcid:PMC3134307 fatcat:x5ln2ezfxbc67lacaidgssl2ia

Rule base and adaptive fuzzy operators cooperative learning of Mamdani fuzzy systems with multi-objective genetic algorithms

Antonio A. Márquez, Francisco A. Márquez, Antonio Peregrín
2009 Evolutionary Intelligence  
The Multiobjective Evolutionary Algorithm proposed generates a set of Fuzzy Rule Based Systems with different trade-offs between interpretability and accuracy in linguistic fuzzy modeling, allowing the  ...  linguistic fuzzy models by learning fuzzy inference operators together with Rule Base.  ...  inference operators (including inference and defuzzification) and of performing rule selection for Mamdani linguistic fuzzy systems.  ... 
doi:10.1007/s12065-009-0026-z fatcat:x6es2yzbr5h7hllgyjezmi5myq

Control Parameters Auto-tuning for Bi-axial Servo Feed System

B. Feng, D. Zhang, J. Yang, G. Ren
2014 Procedia CIRP  
To improve contour accuracy of bi-axial servo feed system and aim at the problem that conventional methods for tuning control parameters mainly depend on manual tuning and can hardly achieve desired performances  ...  The adaptive crossover operation, adaptive mutation operation and elitism strategy are adopted to overcome the prematurity of population and to improve convergence rate effectively.  ...  The adaptive crossover operation, adaptive mutation operation and elitism strategy are both adopted by the IGA. The details of this proposed method are shown as follows.  ... 
doi:10.1016/j.procir.2014.01.052 fatcat:ejiybyzhcfghffop7t7jm6vi24

Rule Base and Inference System Cooperative Learning of Mamdani Fuzzy Systems with Multiobjective Genetic Algorithms

Antonio A. Márquez, Francisco Alfredo Márquez, Antonio Peregrín
2009 European Society for Fuzzy Logic and Technology  
The Multiobjective Evolutionary Algorithm proposed generates a set of Fuzzy Rule Based Systems with different trade-offs between interpretability and accuracy in linguistic fuzzy modeling, allowing the  ...  linguistic fuzzy models by learning fuzzy inference operators together with Rule Base.  ...  inference operators (including inference and defuzzification) and of performing rule selection for Mamdani linguistic fuzzy systems.  ... 
dblp:conf/eusflat/MarquezMP09 fatcat:cwz5jlovoffwrbf2telhadwzru

An Integrated Knowledge Adaption Framework for Case-Based Reasoning Systems [chapter]

Ning Lu, Jie Lu, Guangquan Zhang
2009 Lecture Notes in Computer Science  
The development of effective knowledge adaption techniques is one of the promising solutions to improve the performance of case-based reasoning (CBR) systems.  ...  The maintenance strategies component can perform cross-container maintenance operations in a CBR system.  ...  The results of these operations will be evaluated by the performance improvement of a CBR system or the decision makers, and the system might be reverted in case of failure.  ... 
doi:10.1007/978-3-642-04592-9_47 fatcat:tfh7qwlxajgqxmeofev6b2utra

Adaptive Robust Control Designed for Automatic Train Operation with Guaranteed Tracking Performance

Hengyu Luo, Hongze Xu, Wenjing Zhang, Leqin Gui
2014 Sensors & Transducers  
This paper proposes an adaptive robust control scheme for Automatic Train Operation (ATO) with guaranteed transient performance and steady-state tracking accuracy.  ...  With prior bounds of time-varying parametric uncertainties, a systematic method is developed by combining adaptive backstepping control with deterministic robust control.  ...  Acknowledgements This work is supported by the Fundamental Research Funds for Central Universities of China (No. 2013JBM014).  ... 
doaj:6bac48194a114e9e9035278f27ab6b4d fatcat:5elzktdxprc5vecuvkmyktym5q

A decomposition approach for optimizing the performance of MPI libraries

O. Hartmann, M. Kunemann, T. Rauber, G. Ruger
2006 Proceedings 20th IEEE International Parallel & Distributed Processing Symposium  
We describe an adaptive approach with a configuration phase to determine for a specific execution platform and a specific MPI library which decomposition leads to the best performance.  ...  The decomposition approach has been implemented in the form of a library extension which is called for each activation of a collective MPI operation.  ...  Figure 13 (bottom) shows the average performance improvements that are obtained by an adaptive selection of communication methods to perform the MPI Allgatherv() operation on the CLiC (96 processors,  ... 
doi:10.1109/ipdps.2006.1639721 dblp:conf/ipps/HartmannKRR06 fatcat:eff5y3pmajgi3m5kh63p3lwgmm

Adaptive Filter using Improved Pigeon Inspired Optimization Algorithm for Satellite Image Denoising

Thomas Thangam
2020 Multimedia Research  
For denoising, state-of-the-art method has developed some filters like the hyperspectral satellite images, which is not effectual.  ...  The whole experimentation of the developed denoising system is performed taking into consideration by satellite images from standard databases.  ...  Hence, it is evident that the developed adaptive filter using the Improved Pigeon optimization method is appropriate for the improvement of image for the satellite images, even for images under the influence  ... 
doi:10.46253/j.mr.v3i3.a4 fatcat:nkzqkovrhrfelg4h6hxsfcl2fe
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