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Relevant bibliographies by topics / HYBRID OPTIMIZATION MODEL

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Academic literature on the topic 'HYBRID OPTIMIZATION MODEL'

Author: Grafiati

Published: 11 September 2023

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Journal articles on the topic "HYBRID OPTIMIZATION MODEL"

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Xue, Li-hua, and Yong-hua Li. "Hybrid optimization model of product concepts." Journal of Central South University of Technology 13, no. 1 (2006): 105–9. http://dx.doi.org/10.1007/s11771-006-0115-4.

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Gao, Xiaoli, Yangfei Yuan, Jie Li, and Weifeng Gao. "A Hybrid Search Model for Constrained Optimization." Discrete Dynamics in Nature and Society 2022 (September 28, 2022): 1–15. http://dx.doi.org/10.1155/2022/1190174.

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This paper proposes a hybrid model based on decomposition for constrained optimization problems. Firstly, a constrained optimization problem is transformed into a biobjective optimization problem. Then, the biobjective optimization problem is divided into a set of subproblems, and different subproblems are assigned to different Fitness functions by the direction vectors. Different from decomposition-based multiobjective optimization algorithms in which each subproblem is optimized by using the information of its neighboring subproblems, the neighbors of each subproblem are deFined based on cor

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Miracle, D. Blandina, R. K. Viral, P. M. Tiwari, and Mohit Bansal. "Hybrid Metaheuristic Model for Optimal Economic Load Dispatch in Renewable Hybrid Energy System." International Transactions on Electrical Energy Systems 2023 (April 6, 2023): 1–25. http://dx.doi.org/10.1155/2023/5395658.

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Hybrid generating systems in power networks have emerged as a result of the rapid growth of renewable infrastructure and widespread support for green energy. One of the most significant problems in designing and operating an electric power generation system is the efficient scheduling of all power generation facilities to meet the rising power demand. Economic load dispatch (ELD) is a generic procedure in the electrical power system, and the ELD in power system problems involves scheduling the power generating units to reduce cost and satisfy system constraints. Metaheuristic algorithms are ga

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Stevanović, Dejan, Mirjana Banković, Milica Pešić-Georgiadis, and Lazar Stojanović. "Hybrid model for uncertainty assessment in open pit optimization." Tehnika 75, no. 2 (2020): 161–71. http://dx.doi.org/10.5937/tehnika2002161s.

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Sukheja, Deepak, and Umesh Kumar Singh. "Novel Distributed Query Optimization Model and Hybrid Query Optimization Algorithm." International Journal of Computer Applications 75, no. 17 (2013): 22–32. http://dx.doi.org/10.5120/13203-0461.

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Regitha, M. R., Dr Paul Varghese, Shailesh Sivan, and Antony Nijo. "Handoff Delay Optimization Using Hybrid Prediction Model." International Journal of Networked and Distributed Computing 6, no. 2 (2018): 99. http://dx.doi.org/10.2991/ijndc.2018.6.2.5.

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Cahyandari, R., R. L. Ariany, and Sukono. "Optimization of hybrid model on hajj travel." IOP Conference Series: Materials Science and Engineering 332 (March 2018): 012042. http://dx.doi.org/10.1088/1757-899x/332/1/012042.

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Franco-Lara, E., N. Volk, T. Hertel, V. Galvanauskas, and A. Lübbert. "Model-Supported Optimization of Recombinant Protein Production Using Hybrid Models." Chemie Ingenieur Technik 73, no. 6 (2001): 654–55. http://dx.doi.org/10.1002/1522-2640(200106)73:6<654::aid-cite6543333>3.0.co;2-8.

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He, Jian Feng, and Xiao Xiong Jin. "Multiobjective Optimization of Hybrid Electrical Vehicle Powertrain Mounting System Using Hybrid Genetic Algorithm." Applied Mechanics and Materials 87 (August 2011): 30–37. http://dx.doi.org/10.4028/www.scientific.net/amm.87.30.

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Powertrain mounting system of a Hybrid Electrical Vehicle (HEV) is analyzed and researched, the expression of energy distribution matrix and that of mounting reaction force are derived, and mathematical model of the system is established in Matlab. Correctness of the model established is tested and verified through model establishing for simulation and calculation in ADAMS. Features of Hybrid Genetic Algorithm (HGA) for multiobjective optimization are analyzed and researched, model for calculation of multiobjective optimization using Hybrid Genetic Algorithm is established, targets for optimiz

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Li, Wenwei, and Long Zhu. "Multi-objective Optimization Method for Hybrid Energy Storage Capacity of Wind Farm Based on Source-load Interaction." Journal of Physics: Conference Series 2418, no. 1 (2023): 012054. http://dx.doi.org/10.1088/1742-6596/2418/1/012054.

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Abstract The traditional method for multi-objective optimization of a wind farm’s hybrid energy storage capacity does not fully consider the impact of source-load interaction on wind power consumption capacity, resulting in a high total system operation cost. Therefore, a multi-objective optimization method for the hybrid energy storage capacity of the wind farm based on source-load interaction is proposed. According to the topological structure of the system, a multi-objective optimization model is constructed. The constraint conditions of the optimization model are studied. By synthesizing t

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Dissertations / Theses on the topic "HYBRID OPTIMIZATION MODEL"

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Sachs, Julia [Verfasser]. "Model-Based Optimization of Hybrid Energy Systems / Julia Sachs." Aachen : Shaker, 2016. http://d-nb.info/1101185112/34.

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Werner, Quentin. "Model-based optimization of electrical system in the early development stage of hybrid drivetrains." Thesis, Université de Lorraine, 2017. http://www.theses.fr/2017LORR0109.

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Cette thèse analyse les challenges auxquels sont confrontés les composants électriques pour les systèmes de traction hybrides. L’analyse de ces composants et de leurs interactions en tant qu’entité indépendante est un sujet de recherche important afin de dimensionner de manière optimale le système au lieu de combiner des composants optimaux. Les véhicules hybrides sont un domaine de recherche qui suscite un grand intérêt parce qu’il s’agit d’une solution efficace à court terme afin de préparer la transition énergétique vers les véhicules à zéro émission. Malgré les avantages de cette solution,

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Bertini, Lorenzo. "Modeling and Optimization of a Fuel Cell Hybrid System." Thesis, KTH, Skolan för kemivetenskap (CHE), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-51143.

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The purpose of this project was the modeling, optimization and prediction of a hybrid system composed of a fuel cell, a dc-dc converter and a supercapacitor in series. Lab tests were performed for each device to understand their behavior, and then each one was modeled using software (Simulink). The validation of the model was done by comparing its results with measured data; finally the model was used for the optimization and the prediction of the hybrid system

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Šandera, Čeněk. "Hybridní model metaheuristických algoritmů." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-234259.

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The main topic of this PhD thesis is metaheuristic algorithm in wider scope. The first chapters are dedicated to a description of broader context of metaheuristics, i.e. various optimization classes, determination of their omplexity and different approaches to their solutions. The consequent discussion about metaheuristics and their typical characteristics is followed by several selected examples of metaheuristics concepts. The observed characteristics serve as a base for building general metaheuristics model which is suitable for developing brand new or hybrid algorithms. The thesis is conclu

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Thalheimer, William Cooper. "Structural analysis and optimization with a locally-Cartesian Hybrid Shell Model." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107054.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2016.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 131-133).<br>The Hybrid Shell Model (HSM) is presented as an intermediate-fidelity structural model well suited for conceptual design of aerospace vehicles. Although significantly simpler and more economical than full 3D elasticity models, it can still capture full 3D geometries, large deformations, and anisotropic materials. HSM is formulated from the full 3D equilibrium and compatibility equations all pro

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Wu, Zheng. "Hybrid Multi-Objective Optimization Models for Managing Pavement Assets." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/26092.

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Increasingly tighter budgets, changes in government role/function, declines in staff resources, and demands for increased accountability in the transportation field have brought unprecedented challenges for state transportation officials at all management levels. Systematic methodologies for effective management of a specific type of infrastructure (e.g., pavement and bridges) as well as for holistically managing all types of infrastructure assets are being developed to approach these challenges. In particular, the intrinsic characteristics of highway system make the use of multi-objective opt

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Meyer, Danielle L. "Energy Optimization of a Hybrid Unmanned Aerial Vehicle (UAV)." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523493111005807.

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Yeung, King-ho, and 楊景豪. "An optimization model for a solar hybrid water heating and adsorption ice-making system." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B29632432.

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Shah, Kshitij P. "Calibration and Validation of a Hybrid Vehicle Model for its Implementation inOptimization Routines for Model-Based Fuel Economy Optimization." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1501183963696296.

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Jiang, Siyu. "A Comparison of PSO, GA and PSO-GA Hybrid Algorithms for Model-based Fuel Economy Optimization of a Hybrid-Electric Vehicle." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu156612591067731.

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Books on the topic "HYBRID OPTIMIZATION MODEL"

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Melin, Patricia, Ivette Miramontes, and German Prado Arechiga. Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-82219-4.

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Hybrid Simulation Models of Production Networks. Springer, 2010.

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Hybrid Simulation Models of Production Networks. Springer, 2001.

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Melin, Patricia, Ivette Miramontes, and German Prado Arechiga. Nature-Inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis. Springer International Publishing AG, 2021.

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Bäck, Thomas. Evolutionary Algorithms in Theory and Practice. Oxford University Press, 1996. http://dx.doi.org/10.1093/oso/9780195099713.001.0001.

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This book presents a unified view of evolutionary algorithms: the exciting new probabilistic search tools inspired by biological models that have immense potential as practical problem-solvers in a wide variety of settings, academic, commercial, and industrial. In this work, the author compares the three most prominent representatives of evolutionary algorithms: genetic algorithms, evolution strategies, and evolutionary programming. The algorithms are presented within a unified framework, thereby clarifying the similarities and differences of these methods. The author also presents new results

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Book chapters on the topic "HYBRID OPTIMIZATION MODEL"

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Fontaine, Daniel, Laurent Michel, and Pascal Van Hentenryck. "Model Combinators for Hybrid Optimization." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40627-0_25.

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Margain, Lourdes, Alberto Ochoa, Lissette Martínez Almaguer, and Rigoberto Velázquez. "Model on Oil Platform Using Brain Storm Optimization Algorithm." In Hybrid Intelligent Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76351-4_32.

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Ben Younes, Hajer, Ameni Azzouz, and Meriem Ennigrou. "Solving Flexible Job Shop Scheduling Problem Using Hybrid Bilevel Optimization Model." In Hybrid Intelligent Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14347-3_33.

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Sun, Zhan-Li, Nan Wang, Ru-Xia Ban, and Xia Chen. "Facial Age Estimation with a Hybrid Model." In Proceedings in Adaptation, Learning and Optimization. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01520-6_24.

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Khorram, Mahsa, Pedro Faria, Omid Abrishambaf, and Zita Vale. "Economic Impact of an Optimization-Based SCADA Model for an Office Building." In Hybrid Intelligent Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14347-3_17.

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Chanda, Anupama, R. N. Mukherjee, and Bijan Sarkar. "Performance Evaluation of Management Faculty Using Hybrid Model of Logic—AHP." In Operations Research and Optimization. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7814-9_25.

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Nagaraju, Vidhyashree, and Lance Fiondella. "A Hybrid Model Fitting Framework Considering Accuracy and Performance." In Reliability and Maintenance Modeling with Optimization. CRC Press, 2023. http://dx.doi.org/10.1201/9781003095231-14.

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Majed, Hadeer, Samaher Al-Janabi, and Saif Mahmood. "Hybridized Deep Learning Model with Optimization Algorithm: A Novel Methodology for Prediction of Natural Gas." In Hybrid Intelligent Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-27409-1_8.

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Chen, Benhui, and Jinglu Hu. "Protein Structure Prediction Based on HP Model Using an Improved Hybrid EDA." In Evolutionary Learning and Optimization. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12834-9_9.

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Melin, Patricia, Ivette Miramontes, and German Prado Arechiga. "Conclusions of the Hybrid Medical Model." In Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82219-4_5.

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Conference papers on the topic "HYBRID OPTIMIZATION MODEL"

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Horng, Ming-Huwi, Jin-Yi Chen, and Ren-Jean Liou. "Honey Bee Mating Optimization Scheme for Active Contour Model." In 2009 Ninth International Conference on Hybrid Intelligent Systems. IEEE, 2009. http://dx.doi.org/10.1109/his.2009.42.

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Zhang, Zhijie. "A new Hybrid Infection model optimization Algorithm." In 3rd International Conference on Material, Mechanical and Manufacturing Engineering (IC3ME 2015). Atlantis Press, 2015. http://dx.doi.org/10.2991/ic3me-15.2015.202.

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De Souza, Bruno, Andre De Carvalho, Rodrigo Calvo, and Renato Ishii. "Multiclass SVM Model Selection Using Particle Swarm Optimization." In 2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06). IEEE, 2006. http://dx.doi.org/10.1109/his.2006.264914.

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Nenashev, Alexey V. "Mathematical Model of Billing for TheOoL DAO." In International Workshop “Hybrid methods of modeling and optimization in complex systems”. European Publisher, 2023. http://dx.doi.org/10.15405/epct.23021.2.

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Pokushko, M. "Slack Based Model for Enterprises’ Efficiency Improvement." In International Workshop “Hybrid methods of modeling and optimization in complex systems”. European Publisher, 2023. http://dx.doi.org/10.15405/epct.23021.43.

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Khurana, Rahul, and Himanshu Gupta. "A hybrid model on cloud security." In 2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). IEEE, 2016. http://dx.doi.org/10.1109/icrito.2016.7784979.

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Bansal, Mani, and D. K. Lobiyal. "Word-Character Hybrid Machine Translation Model." In 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). IEEE, 2020. http://dx.doi.org/10.1109/icrito48877.2020.9197865.

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Jianfang, Wang, and Li Weihua. "Optimization Algorithm Based on T-S Fuzzy Model of Self-Adaptive Disturbed Particle Swarm Optimization and Neural Network." In 2009 Ninth International Conference on Hybrid Intelligent Systems. IEEE, 2009. http://dx.doi.org/10.1109/his.2009.94.

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Rocha, Lucio A., and Eleri Cardozo. "A Hybrid Optimization Model for Green Cloud Computing." In 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing (UCC). IEEE, 2014. http://dx.doi.org/10.1109/ucc.2014.9.

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Chanyuan Liu and Jinpeng Lu. "A hybrid optimization model for hotel yield management." In Proceedings of ICSSSM '05. 2005 International Conference on Services Systems and Services Management, 2005. IEEE, 2005. http://dx.doi.org/10.1109/icsssm.2005.1499473.

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Reports on the topic "HYBRID OPTIMIZATION MODEL"

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Hough, Patricia Diane, Genetha Anne Gray, Joseph Pete Jr Castro, .), and Anthony Andrew Giunta. Developing a computationally efficient dynamic multilevel hybrid optimization scheme using multifidelity model interactions. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/877137.

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Li, Yan, Yuhao Luo, and Xin Lu. PHEV Energy Management Optimization Based on Multi-Island Genetic Algorithm. SAE International, 2022. http://dx.doi.org/10.4271/2022-01-0739.

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The plug-in hybrid electric vehicle (PHEV) gradually moves into the mainstream market with its excellent power and energy consumption control, and has become the research target of many researchers. The energy management strategy of plug-in hybrid vehicles is more complicated than conventional gasoline vehicles. Therefore, there are still many problems to be solved in terms of power source distribution and energy saving and emission reduction. This research proposes a new solution and realizes it through simulation optimization, which improves the energy consumption and emission problems of PH

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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detecti

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An Input Linearized Powertrain Model for the Optimal Control of Hybrid Electric Vehicles. SAE International, 2022. http://dx.doi.org/10.4271/2022-01-0741.

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Models of hybrid powertrains are used to establish the best combination of conventional engine power and electric motor power for the current driving situation. The model is characteristic for having two control inputs and one output constraint: the total torque should be equal to the torque requested by the driver. To eliminate the constraint, several alternative formulations are used, considering engine power or motor power or even the ratio between them as a single control input. From this input and the constraint, both power levels can be deduced. There are different popular choices for th

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