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Journal articles on the topic 'Decentralized cooperatives'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Schmid, Benjamin, Thomas Meister, Britta Klagge, and Irmi Seidl. "Energy Cooperatives and Municipalities in Local Energy Governance Arrangements in Switzerland and Germany." Journal of Environment & Development 29, no. 1 (2019): 123–46. http://dx.doi.org/10.1177/1070496519886013.

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Participation of citizens in local energy decisions is increasingly recognized as helpful for a successful decentralized energy transition. In this article, we focus on energy cooperatives in which private individuals jointly develop facilities to generate energy from renewable sources, thus involving citizens both politically and economically. Focusing on Switzerland and Germany, we show that there is a strong linkage between such cooperatives and municipalities, characterized by collaboration and support, and that the cooperatives are well suited as collaborating partners. We also show that

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2

Tang, Weiqin, Weimin Tang, Changsheng Jiang, and Shan Lu. "Incentive Decision on Safety Investment of Supply Chain of Agricultural Products in “Agricultural Super-Docking”." Journal of Applied Mathematics 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/836342.

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Since the “agriculture super-docking” mode was introduced in China in 2007, remarkable success has been made in reducing the transaction cost and improving the quality safety of agricultural products. However, the quality safety issues of agricultural products still occur frequently because both specialized farmers’ cooperatives and supermarkets have insufficient safety investment. In order to study the necessity, goal, and incentive decision schemes of safety investment in “agriculture super-docking” supply chain, three kinds of models, which include noncooperatives distributed decision-makin

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3

Hu, Qifan, Qianyun Xu, and Bing Xu. "Introducing of Online Channel and Management Strategy for Green Agri-food Supply Chain based on Pick-Your-Own Operations." International Journal of Environmental Research and Public Health 16, no. 11 (2019): 1990. http://dx.doi.org/10.3390/ijerph16111990.

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The popularity of e-commerce has impacted traditional retail business. Farmer cooperatives running green agri-food pick-your-own (PYO) farms are facing the choice of whether or not to adopt online channels. PYO operation refers to consumers picking and purchasing the agri-food growing on a farm, and due to it being environmentally-friendly, healthy, and popular, it has been widely adopted by many farm cooperatives. This paper aims to discuss the practicality of introducing online channels to already established PYO farms in the green agri-food supply chain (GASC), who can personally take charg

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van der Waal, Esther C., Alexandra M. Das, and Tineke van der Schoor. "Participatory Experimentation with Energy Law: Digging in a ‘Regulatory Sandbox’ for Local Energy Initiatives in the Netherlands." Energies 13, no. 2 (2020): 458. http://dx.doi.org/10.3390/en13020458.

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To facilitate energy transition, regulators have devised ‘regulatory sandboxes’ to create a participatory experimentation environment for exploring revision of energy law in several countries. These sandboxes allow for a two-way regulatory dialogue between an experimenter and an approachable regulator to innovate regulation and enable new socio-technical arrangements. However, these experiments do not take place in a vacuum but need to be formulated and implemented in a multi-actor, polycentric decision-making system through collaboration with the regulator but also energy sector incumbents, s

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Gutberlet, Jutta, Gina Rizpah Besen, and Leandro Morais. "Participatory solid waste governance and the role of social and solidarity economy: experiences from São Paulo, Brazil." Detritus, no. 13 (October 5, 2020): 167–80. http://dx.doi.org/10.31025/2611-4135/2020.14024.

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Waste governance is emerging as transdisciplinary and inter-sectoral approach to waste management and policy, overcoming primarily prescriptive engineering perspectives of waste. The process of governing waste involves the articulation of different structures, institutions, policies, practices and actors. Paying attention to issues of power, scale, and equity are important in the search for more democratic practices. Innovative forms of governance are emerging as decentralized, participatory and inclusive, focused on waste reduction and resource recovery. Social and Solidarity Economy (SSE) is

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6

Sauser, Brian, Qing Li, and Jose Ramirez-Marquez. "Systemigram Modeling of the Small Vessel Security Strategy for Developing Enterprise Resilience." Marine Technology Society Journal 45, no. 3 (2011): 88–102. http://dx.doi.org/10.4031/mtsj.45.3.5.

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AbstractEnterprises exist in webs of alliances, partnerships, and cooperatives and must necessarily reflect their strategic intent at the level of these networks. This network level strategic intent is fundamental to developing security strategies and operational policies that consider emergent, decentralized behavior of the enterprise as a positive contribution to ensuring resilience in enterprise service. Recent strategies of the Department of Homeland Security (DHS) have articulated that our homeland security solutions will only be found in the national enterprise via a collective and share

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7

Marshalek, Frank. "Cuban and Danish Agriculture, The Rochdale Principles, and the Renovation of Socialism." Human Geography 10, no. 3 (2017): 22–40. http://dx.doi.org/10.1177/194277861701000303.

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In 2011, the Guidelines for Economic and Social Policy of the Party and the Revolution announced Cuba's intentions to decentralize state power and economic decision-making, shift toward a mixed economy, and channel up to one-third of state workers to worker-owned cooperative enterprises and the small business sector. As socialist theory requires movement away from state-centered and toward mixed economies, I examine Danish and Cuban cooperative agricultural movements, evaluating them with respect to the Rochdale Principles of cooperative production, to identify appropriate economic production

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8

Martell, Jessica. "Food Sovereignty, the Irish Homestead, and the First World War." Modernist Cultures 13, no. 3 (2018): 399–416. http://dx.doi.org/10.3366/mod.2018.0219.

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At the outbreak of the First World War, George Russell (Æ) published a series of editorials in the Irish Homestead calling for Ireland to secure food reserves against the demands he predicted Britain would make upon Irish agricultural sectors to fuel the war effort. Irish agriculture, Russell writes, is part of a peculiar market shaped by empire: ‘Ireland is a food producing nation’; and yet ‘a machinery of export […] automatically deducts’ Irish cattle, pork, butter, milk, poultry, and eggs, ‘week by week’, while ‘week by week’ bacon, meat, flour, and other goods are imported. The machinery o

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9

Moore, Brandon J., and Kevin M. Passino. "Decentralized redistribution for cooperative patrol." International Journal of Robust and Nonlinear Control 18, no. 2 (2007): 165–95. http://dx.doi.org/10.1002/rnc.1192.

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10

Rauniyar, Ashish, Jae Min Jang, and Soo Young Shin. "Optimal Hard Decision Fusion Rule for Centralized and Decentralized Cooperative Spectrum Sensing in Cognitive Radio Networks." Journal of Advances in Computer Networks 3, no. 3 (2015): 207–12. http://dx.doi.org/10.7763/jacn.2015.v3.168.

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11

Reisch, O., R. Weller, and J. Pirron. "TOPAZ - Decentralised Cooperative Production Management." IFAC Proceedings Volumes 31, no. 23 (1998): 81–85. http://dx.doi.org/10.1016/s1474-6670(17)35860-3.

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12

Yamakita, Masaki, Jin-Ho Suh, and Kazuhito Hashiba. "Decentralized PVFC for Cooperative Mobile Robots." IEEJ Transactions on Electronics, Information and Systems 120, no. 10 (2000): 1485–91. http://dx.doi.org/10.1541/ieejeiss1987.120.10_1485.

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13

Yan, Ke, Guowei Hua, and T. C. E. Cheng. "Green Supply Chain Management with Cooperative Promotion." Sustainability 13, no. 6 (2021): 3204. http://dx.doi.org/10.3390/su13063204.

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Green supply chain management has received increasing attention as consumers have become more environmentally conscious. Manufacturers are making green investments to meet consumers’ demands, while retailers in different markets often engage in cooperative promotion to attract more consumers. This study develops game theoretic models for investigating cooperative promotion for two cross-market firms with different channel structures, i.e., decentralized and centralized. The manufacturer determines the wholesale price for the retailers and the green investment of a product, and the retailers de

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14

Lee, Daniel, Han-Lim Choi, and Jong-Han Kim. "Optimal Cooperative Guidance Laws for Two UAVs Under Sensor Information Deficiency Constraints." Sensors 20, no. 17 (2020): 4790. http://dx.doi.org/10.3390/s20174790.

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This paper presents closed-form optimal cooperative guidance laws for two UAVs under information constraints that achieve the required relative approach angle. Two UAVs cooperate to optimize a common cost function under a coupled constraint on terminal velocity vectors and the information constraint which defines the sensor information availability. To handle the information constraint, a general two-player partially nested decentralized optimal control problem is considered in the continuous finite-horizon time domain. It is shown that under the state-separation principle the optimal solution

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15

Bouteraa, Yassine, Jawhar Ghommam, Gérard Poisson, and Nabil Derbel. "Distributed Synchronization Control to Trajectory Tracking of Multiple Robot Manipulators." Journal of Robotics 2011 (2011): 1–10. http://dx.doi.org/10.1155/2011/652785.

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This paper investigates the issue of designing decentralized control laws to cooperatively command a team of general fully actuated manipulators. The purpose is to synchronize their movements while tracking a common desired trajectory. Based on the well-known consensus algorithm, the control strategy consists in synchronizing the joint position and the velocity of each robot in the network with respect to neighboring robots' joints and velocities. Modeled by an undirected graph, the cooperative robot network requires just local neighbor-to-neighbor information exchange between manipulators. So

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16

Weitz, Lesley A., John E. Hurtado, and Andrew J. Sinclair. "Decentralized Cooperative-Control Design for Multivehicle Formations." Journal of Guidance, Control, and Dynamics 31, no. 4 (2008): 970–79. http://dx.doi.org/10.2514/1.33009.

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17

Lacroix, Philippe, Vladimir Polotski, and Paul Cohen. "Decentralized Control of Cooperative Multi-robot Systems." Integrated Computer-Aided Engineering 6, no. 4 (1999): 259–74. http://dx.doi.org/10.3233/ica-1999-6401.

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18

Tanner, H. G., and D. K. Christodoulakis. "Decentralized cooperative control of heterogeneous vehicle groups." Robotics and Autonomous Systems 55, no. 11 (2007): 811–23. http://dx.doi.org/10.1016/j.robot.2007.05.015.

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19

Tran, Nguyen, Frank Chiang, and Jinyang Li. "Efficient cooperative backup with decentralized trust management." ACM Transactions on Storage 8, no. 3 (2012): 1–25. http://dx.doi.org/10.1145/2339118.2339119.

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20

Dwivedi, S., D. Zachariah, A. De Angelis, and P. Handel. "Cooperative Decentralized Localization Using Scheduled Wireless Transmissions." IEEE Communications Letters 17, no. 6 (2013): 1240–43. http://dx.doi.org/10.1109/lcomm.2013.042313.130218.

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21

Sislak, David, Přemysl Volf, and Michal Pechoucek. "Agent-Based Cooperative Decentralized Airplane-Collision Avoidance." IEEE Transactions on Intelligent Transportation Systems 12, no. 1 (2011): 36–46. http://dx.doi.org/10.1109/tits.2010.2057246.

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22

Buehrer, Daniel J., and Chun-Yao Wang. "Deco: A Decentralized, Cooperative Atomic Commit Protocol." Journal of Computer Networks and Communications 2012 (2012): 1–14. http://dx.doi.org/10.1155/2012/782517.

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An atomic commit protocol can cause long-term locking of databases if the coordinator crashes or becomes disconnected from the network. In this paper we describe how to eliminate the coordinator. This decentralized, cooperative atomic commit protocol piggybacks transaction statuses of all transaction participants onto tokens which are passed among the participants. Each participant uses the information in the tokens to make a decision of when to go to the next state of a three-phase commit protocol. Transactions can progress to ensure a uniform agreement on success or failure, even if the netw

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23

Rupp, Astrid, Michael Stolz, and Martin Horn. "Decentralized Cooperative Merging using Sliding Mode Control." IFAC-PapersOnLine 51, no. 9 (2018): 349–54. http://dx.doi.org/10.1016/j.ifacol.2018.07.057.

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24

Wang, Lin, Johan Markdahl, Zhixin Liu, and Xiaoming Hu. "Decentralized cooperative tracking subject to motion constraints." Automatica 96 (October 2018): 121–26. http://dx.doi.org/10.1016/j.automatica.2018.06.037.

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25

Köpf, Florian, Samuel Tesfazgi, Michael Flad, and Sören Hohmann. "Deep Decentralized Reinforcement Learning for Cooperative Control." IFAC-PapersOnLine 53, no. 2 (2020): 1555–62. http://dx.doi.org/10.1016/j.ifacol.2020.12.2181.

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26

Qin, Tong, Malcolm Macdonald, and Dong Qiao. "Fully Decentralized Cooperative Navigation for Spacecraft Constellations." IEEE Transactions on Aerospace and Electronic Systems 57, no. 4 (2021): 2383–94. http://dx.doi.org/10.1109/taes.2021.3060734.

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27

Goldman, C. V., and S. Zilberstein. "Decentralized Control of Cooperative Systems: Categorization and Complexity Analysis." Journal of Artificial Intelligence Research 22 (November 1, 2004): 143–74. http://dx.doi.org/10.1613/jair.1427.

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Decentralized control of cooperative systems captures the operation of a group of decision makers that share a single global objective. The difficulty in solving optimally such problems arises when the agents lack full observability of the global state of the system when they operate. The general problem has been shown to be NEXP-complete. In this paper, we identify classes of decentralized control problems whose complexity ranges between NEXP and P. In particular, we study problems characterized by independent transitions, independent observations, and goal-oriented objective functions. Two a

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28

Liao, Hongtao, Jun Peng, Yanhui Zhou, Zhiwu Huang, and Feng Zhou. "Generalized Potential Function-Based Cooperative Current-Sharing Control for High-Power Parallel Charging Systems." Journal of Advanced Computational Intelligence and Intelligent Informatics 21, no. 3 (2017): 387–96. http://dx.doi.org/10.20965/jaciii.2017.p0387.

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In this paper, a new decentralized gradient-based cooperative control method is proposed to achieve current sharing for parallel chargers in energy storage-type light rail vehicle systems. By employing a generalized artificial potential function to characterize the interaction rule for subchargers, the current-sharing control problem is converted into an optimization problem. Based on the gradient of the potential function, a decentralized gradient cooperative control law is derived. A general saturation function is introduced in the proposed control to guarantee the boundedness of the control

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29

Capitán, J., L. Merino, F. Caballero, and A. Ollero. "Decentralized Delayed-State Information Filter (DDSIF): A new approach for cooperative decentralized tracking." Robotics and Autonomous Systems 59, no. 6 (2011): 376–88. http://dx.doi.org/10.1016/j.robot.2011.02.001.

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30

GAO, Wenyun, Xi CHEN, Dexiu HU, and Haisheng XU. "Cooperative/Parallel Kalman Filtering for Decentralized Network Navigation." IEICE Transactions on Communications E99.B, no. 9 (2016): 2087–98. http://dx.doi.org/10.1587/transcom.2016ebp3006.

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31

Jiménez, Andrés C., Vicente García-Díaz, and Sandro Bolaños. "Decentralized navigation model for multiagent cooperative robotic systems." Journal of Ambient Intelligence and Smart Environments 12, no. 6 (2020): 547–48. http://dx.doi.org/10.3233/ais-200583.

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On November 20, 2018 at 11 am, Andrés Camilo Jiménez Alvarez defended his Ph.D. thesis entitled Decentralized navigation model for multiagent cooperative robotic systems at the Distrital University Francisco José de Caldas. Andrés Camilo Jiménez Alvarez presented his dissertation in a public open event held in the “Wise Caldas Auditory”, and was able to expose and defend all his research, it was approved by the committee. The thesis was supervised by his advisors, Vicente García-Díaz and Sandro Javier Bolaños, together with the thesis committee, Rubén Gonzáles Crespo, Oscar Fernando Avilés and

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32

Kim, Keum-Seong, and Han-Lim Choi. "A Decentralized Task Structure for Cooperative Transportation Missions." Journal of Korea Robotics Society 10, no. 3 (2015): 133–38. http://dx.doi.org/10.7746/jkros.2015.10.3.133.

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33

Nie, Rongjiang, Li Chen, Chuanqiang Shan, and Xiaohui Chen. "A Decentralized Reciprocity Calibration Approach for Cooperative MIMO." IEEE Access 7 (2019): 1560–69. http://dx.doi.org/10.1109/access.2018.2886560.

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34

Kong, Seung-Hyun, and Sang-Yun Jun. "Cooperative Positioning Technique With Decentralized Malicious Vehicle Detection." IEEE Transactions on Intelligent Transportation Systems 19, no. 3 (2018): 826–38. http://dx.doi.org/10.1109/tits.2017.2705249.

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35

Wanasinghe, Thumeera R., George K. I. Mann, and Raymond G. Gosine. "Decentralized Cooperative Localization Approach for Autonomous Multirobot Systems." Journal of Robotics 2016 (2016): 1–18. http://dx.doi.org/10.1155/2016/2560573.

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This study proposes the use of a split covariance intersection algorithm (Split-CI) for decentralized multirobot cooperative localization. In the proposed method, each robot maintains a local cubature Kalman filter to estimate its own pose in a predefined coordinate frame. When a robot receives pose information from neighbouring robots, it employs a Split-CI based approach to fuse this received measurement with its local belief. The computational and communicative complexities of the proposed algorithm increase linearly with the number of robots in the multirobot systems (MRS). The proposed me

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36

Chen, Zanyu, Tsungnan Lin, and Chunlin Wu. "Decentralized Learning-Based Relay Assignment for Cooperative Communications." IEEE Transactions on Vehicular Technology 65, no. 2 (2016): 813–26. http://dx.doi.org/10.1109/tvt.2015.2399653.

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37

Ezimadu, Peter, and Chukwuma Nwozo. "Modeling dynamic cooperative advertising in a decentralized channel." Yugoslav Journal of Operations Research 28, no. 4 (2018): 539–66. http://dx.doi.org/10.2298/yjor150520023e.

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This work deals with cooperative advertising in a manufacturer-retailer supply channel using differential game theory. It considers the manufacturer as the Stackelberg leader and the retailer as the follower. It incorporates the manufacturer?s advertising effort into Sethi?s sales-advertising dynamics, and considers its effect on the retail advertising effort, the awareness share, the players? payoffs, and the channel payoff. These are achieved by considering two channel structures: a situation where retail advertising is subsidized, and a situation where it is not. In both situations, it obta

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38

Madan, R., N. B. Mehta, A. F. Molisch, and Jin Zhang. "Energy-Efficient Decentralized Cooperative Routing in Wireless Networks." IEEE Transactions on Automatic Control 54, no. 3 (2009): 512–27. http://dx.doi.org/10.1109/tac.2009.2012979.

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39

Jia, Peng, and Peter E. Caines. "Analysis of Decentralized Quantized Auctions on Cooperative Networks." IEEE Transactions on Automatic Control 58, no. 2 (2013): 529–34. http://dx.doi.org/10.1109/tac.2012.2208319.

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40

Lan, Yu, Xiaohong Guan, and Jiang Wu. "Online Decentralized and Cooperative Dispatch for Multi-Microgrids." IEEE Transactions on Automation Science and Engineering 17, no. 1 (2020): 450–62. http://dx.doi.org/10.1109/tase.2019.2923986.

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41

Osafune, Tatsuaki, Yuki Horita, Nestor Mariyasagayam, and Massimiliano Lenardi. "Effect of Decentralized Congestion Control on Cooperative Systems." International Journal of Intelligent Transportation Systems Research 13, no. 3 (2014): 192–202. http://dx.doi.org/10.1007/s13177-014-0095-y.

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42

Rahman, Mustafizur, Rajiv Ranjan, and Rajkumar Buyya. "Cooperative and decentralized workflow scheduling in global grids." Future Generation Computer Systems 26, no. 5 (2010): 753–68. http://dx.doi.org/10.1016/j.future.2009.07.002.

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43

Song, Xiulan, Xiaoxin Lou, and Limin Meng. "Time-delay feedback cooperative adaptive cruise control of connected vehicles by heterogeneous channel transmission." Measurement and Control 52, no. 5-6 (2019): 369–78. http://dx.doi.org/10.1177/0020294019837997.

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In this paper, we consider the cooperative adaptive cruise control problem of connected autonomous vehicles networked by heterogeneous wireless channel transmission. The cooperative adaptive cruise control model with variable input delays is established to describe the varying time-delays induced from vehicular actuators and heterogeneous channel transmission. Then a set of decentralized time-delay feedback cooperative adaptive cruise control controllers is computed in such way that each vehicle evaluates its own adaptive cruise control strategy using only neighborhood information. In order to

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44

Hu, Qifan, and Bing Xu. "Differential Game Analysis of Optimal Strategies and Cooperation in Omni-Channel Organic Agricultural Supply Chain." Sustainability 11, no. 3 (2019): 848. http://dx.doi.org/10.3390/su11030848.

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This paper aims to investigate the optimal strategies for both centralized and decentralized modes in a two-echelon omni-channel organic agricultural supply chain (OASC) which consists of one farmer cooperative and one online retailer. Furthermore, the contracts of cooperation between the members in OASC are discussed. Based on both theory differential game and bi-level programming, we utilize the Nerlove–Arrow model and Stackelberg model to examine five cases of decision modes for both agents in the OASC. Then, we achieve the optimal strategies where the specified sets of organic growing effo

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45

Alkhayyat, Ahmed, Orhan Gazi, and Sattar B. Sadkhan. "The Role of Delay and Connectivity in Throughput Reduction of Cooperative Decentralized Wireless Networks." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/294016.

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We proposed a multiple relay selection protocol for decentralized wireless networks. The proposed relays selection protocol aims to address three issues: (1) selecting relays within the coverage area of the source and destination to ensure that the relays are positioned one hop away from the destination, (2) ensuring that the best node (best relays with less distance and attenuation from the destination) access the channel first, and (3) ensuring that the proposed relays selection is collision-free. Our analysis also considers three important characteristics of decentralized wireless networks

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46

Fan, Xiaoping, Xiaowu Yang, and Ganrong Li. "Decentralized cooperative control with connectivity maintenance for multiagent systems." International Robotics & Automation Journal 5, no. 1 (2019): 1–9. http://dx.doi.org/10.15406/iratj.2019.05.00163.

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47

Kadir, Herdawatie Abdul, and Mohd Rizal Arshad. "Decentralized Cooperative Communication Framework for Heterogeneous Multi Agent System." Journal of Communications 9, no. 2 (2014): 163–70. http://dx.doi.org/10.12720/jcm.9.2.163-170.

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48

Peng, Bile, Gonzalo Seco-Granados, Erik Steinmetz, Markus Frohle, and Henk Wymeersch Wymeersch. "Decentralized Scheduling for Cooperative Localization With Deep Reinforcement Learning." IEEE Transactions on Vehicular Technology 68, no. 5 (2019): 4295–305. http://dx.doi.org/10.1109/tvt.2019.2913695.

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49

Pallottino, Lucia, Vincenzo G. Scordio, Antonio Bicchi, and Emilio Frazzoli. "Decentralized Cooperative Policy for Conflict Resolution in Multivehicle Systems." IEEE Transactions on Robotics 23, no. 6 (2007): 1170–83. http://dx.doi.org/10.1109/tro.2007.909810.

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50

Feddema, J. T., C. Lewis, and D. A. Schoenwald. "Decentralized control of cooperative robotic vehicles: theory and application." IEEE Transactions on Robotics and Automation 18, no. 5 (2002): 852–64. http://dx.doi.org/10.1109/tra.2002.803466.

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