Auswahl der wissenschaftlichen Literatur zum Thema „Cooperative distributed control“

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Zeitschriftenartikel zum Thema "Cooperative distributed control"

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Stewart, Brett T., Aswin N. Venkat, James B. Rawlings, Stephen J. Wright, and Gabriele Pannocchia. "Cooperative distributed model predictive control." Systems & Control Letters 59, no. 8 (2010): 460–69. http://dx.doi.org/10.1016/j.sysconle.2010.06.005.

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MINAMI, Yuki, and Takateru KOSAKA. "1101 Distributed cooperative control of distributed generation systems." Proceedings of the Optimization Symposium 2012.10 (2012): _1101–1_—_1101–4_. http://dx.doi.org/10.1299/jsmeopt.2012.10.0__1101-1_.

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Nasirian, Vahidreza, Seyedali Moayedi, Ali Davoudi, and Frank L. Lewis. "Distributed Cooperative Control of DC Microgrids." IEEE Transactions on Power Electronics 30, no. 4 (2015): 2288–303. http://dx.doi.org/10.1109/tpel.2014.2324579.

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Morstyn, Thomas, Branislav Hredzak, and Vassilios G. Agelidis. "Distributed Cooperative Control of Microgrid Storage." IEEE Transactions on Power Systems 30, no. 5 (2015): 2780–89. http://dx.doi.org/10.1109/tpwrs.2014.2363874.

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Bereza, Robert, Linnea Persson, and Bo Wahlberg. "Distributed Model Predictive Control for Cooperative Landing." IFAC-PapersOnLine 53, no. 2 (2020): 15180–85. http://dx.doi.org/10.1016/j.ifacol.2020.12.2290.

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HAYASHI, Naoki, and Naoyuki HARA. "Distributed and Cooperative Control in Wind Farms." IEICE ESS Fundamentals Review 14, no. 3 (2021): 170–80. http://dx.doi.org/10.1587/essfr.14.3_170.

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Wang, Mianyu, Nagarajan Kandasamy, Allon Guez, and Moshe Kam. "Distributed Cooperative Control for Adaptive Performance Management." IEEE Internet Computing 11, no. 1 (2007): 31–39. http://dx.doi.org/10.1109/mic.2007.7.

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Lin, Jinghuai, Yongming Wang, Hongjie Deng, and Zhenguo Shao. "Distributed cooperative control strategy for islanded microgrids." Journal of Physics: Conference Series 1633 (September 2020): 012126. http://dx.doi.org/10.1088/1742-6596/1633/1/012126.

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Hamidi, R. Jalilzadeh, H. Livani, S. H. Hosseinian, and G. B. Gharehpetian. "Distributed cooperative control system for smart microgrids." Electric Power Systems Research 130 (January 2016): 241–50. http://dx.doi.org/10.1016/j.epsr.2015.09.012.

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Yague, Sauro J., Guillermo Reyes Carmenaty, Alejandro Rolán Blanco, and Aurelio García Cerrada. "Distributed Cooperative Control for Stepper Motor Synchronization." MATEC Web of Conferences 167 (2018): 02001. http://dx.doi.org/10.1051/matecconf/201816702001.

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This paper describes the design and simulation of a distributed cooperative control algorithm based on multi-agents to synchronize a group of stepper motors. Modeling of the two-phase hybrid stepper motor in closed loop is derived in {d - q} rotary reference frame, based on field-oriented control techniques to provide torque control. The simulation obtained by MATLAB-Simulink shows that the distributed cooperative control effectiveness depends on the network topology defined by the graph.
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Dissertationen zum Thema "Cooperative distributed control"

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Benahmed, Sif Eddine. "Distributed Cooperative Control for DC Microgrids." Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0056.

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Au cours des dernières années, le réseau électrique connait une transformation rapide avec la pénétration massive des unités de production renouvelables et distribuées. Le concept de microgrids (micro-réseau électrique) est un élément clés de cette transition énergétique. Ces micro-réseaux sont constitués par un ensemble de plusieurs unités de production distribuées (DGUs), d'unités de stockage (SUs) et de charges interconnectées par des lignes électriques. Un microgrid peut être installé dans plusieurs endroits, par exemple dans des maisons, des hôpitaux, des quartiers, etc. et fonctionne soi
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Wen, Guoguang. "Distributed cooperative control for multi-agent systems." Phd thesis, Ecole Centrale de Lille, 2012. http://tel.archives-ouvertes.fr/tel-00818774.

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Cette thèse considère principalement trois problèmes dans le domaine du contrôle distribué coopératif des systèmes multi-agents(SMA): le consensus, la navigation en formation et le maintien en formation d'un groupe d'agents lorsqu'un agent disparait. Nous proposons 3 algorithmes pour résoudre le problème du calcul distribué d'un consensus à partir de l'approche leadeur-suiveur dans le contexte SMA à dynamique non-linéaire. La référence est définie comme un leader virtuel dont on n'obtient, localement, que les données de position et de vitesse. Pour résoudre le problème du suivi par consensus p
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Alabri, Said. "Distributed Extremum Seeking and Cooperative Control for Mobile Cooperative Communication Systems." Master's thesis, University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5596.

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In this thesis, a distributed extremum seeking and cooperative control algorithm is designed for mobile agents to disperse themselves optimally in maintaining communication quality and maximizing their coverage. The networked mobile agents locally form a virtual multiple-input multiple-output (MIMO) communication system, and they cooperatively communicate among them by using the decode and forward cooperative communication technique. The outage probability is used as the measure of communication quality, and it can be estimated real-time. A general performance index balancing outage probabilit
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Kreidl, O. Patrick. "Distributed cooperative control architectures for automated manufacturing systems." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/11295.

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Feng, Jiao. "Distributed relay selection aided cooperative medium access control." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/362096/.

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A variety of cooperative medium access control (MAC) schemes are designed for the sake of improving the achievable transmit rate and for reducing the transmit energy dissipation of cooperative communication systems relying on realistic greedy - rather than altruistic - relay nodes (RNs). Based on the system’s objective functions (OF), novel distributed relay selection schemes are developed for selecting the best relay node (RN) set. In order to investigate the effect of the proposed MAC schemes on the performance of the cooperative communication systems considered, the system’s stability is an
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Liu, Peng. "Distributed Model Predictive Control for Cooperative Highway Driving." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1500564857136091.

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Jilg, Martin [Verfasser]. "Hierachical and Cooperative Control of Complex Distributed Systems / Martin Jilg." Kassel : Kassel University Press, 2018. http://d-nb.info/1153797011/34.

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Lim, Yusun. "Game theoretic distributed coordination: drifting environments and constrained communications." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/52986.

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The major objective of this dissertation is extending the capabilities of game theoretic distributed control to more general settings. In particular, we are interested in drifting environments and/or constrained communications. The first part of the dissertation concerns slowly varying dynamics, i.e., drifting environments. A standard assumption in game theoretic learning is a stationary environment, e.g., the game is fixed. We investigate the case of slow variations and show that for sufficiently slow time variations, the limiting behavior “tracks” the stochastically stable states. Since the
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Torabi, Zahra. "Distributed non-cooperative robust economic predictive control for dynamically coupled linear systems." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.

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In this thesis, a tube-based Distributed Economic Predictive Control (DEPC) scheme is presented for a group of dynamically coupled linear subsystems. These subsystems are components of a large scale system and control inputs are computed based on optimizing a local economic objective. Each subsystem is interacting with its neighbors by sending its future reference trajectory, at each sampling time. It solves a local optimization problem in parallel, based on the received future reference trajectories of the other subsystems. To ensure recursive feasibility and a performance bound, each subsys
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Maknouninejad, Ali. "Cooperative Control and Advanced Management of Distributed Generators in a Smart Grid." Doctoral diss., University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5663.

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Smart grid is more than just the smart meters. The future smart grids are expected to include a high penetration of distributed generations (DGs), most of which will consist of renewable energy sources, such as solar or wind energy. It is believed that the high penetration of DGs will result in the reduction of power losses, voltage profile improvement, meeting future load demand, and optimizingthe use of non-conventionalenergy sources. However, more serious problems will arise if a decent control mechanism is not exploited. An improperly managed high PV penetration may cause voltage pro
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Bücher zum Thema "Cooperative distributed control"

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Guo, Yi. Distributed Cooperative Control. John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119216131.

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Bidram, Ali, Vahidreza Nasirian, Ali Davoudi, and Frank L. Lewis. Cooperative Synchronization in Distributed Microgrid Control. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50808-5.

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S, Shamma Jeff, ed. Cooperative control of distributed multi-agent systems. John Wiley & Sons, 2007.

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S, Shamma Jeff, ed. Cooperative control of distributed multi-agent systems. John Wiley & Sons, 2007.

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Shamma, Jeff S., ed. Cooperative Control of Distributed Multi-Agent Systems. John Wiley & Sons, Ltd, 2007. http://dx.doi.org/10.1002/9780470724200.

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Yu, Wenwu, Guanghui Wen, Guanrong Chen, and Jinde Cao. Distributed Cooperative Control of Multi-agent Systems. John Wiley & Sons Singapore Pte. Ltd, 2016. http://dx.doi.org/10.1002/9781119246213.

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Ren, Wei, and Randal W. Beard. Distributed Consensus in Multi-vehicle Cooperative Control. Springer London, 2008. http://dx.doi.org/10.1007/978-1-84800-015-5.

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Zou, Yuanyuan, and Shaoyuan Li. Distributed Cooperative Model Predictive Control of Networked Systems. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6084-0.

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Yue, Dong, Huaipin Zhang, and Shengxuan Weng. Distributed Cooperative Control and Communication for Multi-agent Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6718-0.

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Wang, Qing, Bin Xin, and Jie Chen. Distributed Cooperative Control and Optimization for Multi-Agent Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-0950-5.

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Buchteile zum Thema "Cooperative distributed control"

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Bullo, Francesco, and Jorge Cortés. "Adaptive and Distributed Coordination Algorithms for Mobile Sensing Networks." In Cooperative Control. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-31595-7_3.

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Ganapathy, Sriram, and Kevin M. Passino. "Distributed Agreement Strategies for Cooperative Control." In Cooperative Systems. Springer US, 2004. http://dx.doi.org/10.1007/978-1-4613-0219-3_9.

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Li, Shaoyuan, Yi Zheng, and Binqiang Xue. "Cooperative Distributed Predictive Control System." In Intelligent Optimal Control for Distributed Industrial Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0268-2_6.

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Shamma, Jeff S., and Gurdal Arslan. "Dimensions of Cooperative Control." In Cooperative Control of Distributed Multi-Agent Systems. John Wiley & Sons, Ltd, 2007. http://dx.doi.org/10.1002/9780470724200.ch1.

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Bidram, Ali, Vahidreza Nasirian, Ali Davoudi, and Frank L. Lewis. "Cooperative Control for DC Microgrids." In Cooperative Synchronization in Distributed Microgrid Control. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50808-5_7.

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Bidram, Ali, Vahidreza Nasirian, Ali Davoudi, and Frank L. Lewis. "Distributed Control of AC Microgrids." In Cooperative Synchronization in Distributed Microgrid Control. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50808-5_4.

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Cai, He, Youfeng Su, and Jie Huang. "The Distributed Observer Approach." In Cooperative Control of Multi-agent Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98377-2_4.

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Zwicker, Eckart, and Claus Rottenbacher. "Distributed Cooperative Budget-Planning and -Control." In Distributed Information Systems in Business. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-80216-4_5.

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Mohanty, Nishant, Jaskaran Grover, Changliu Liu, and Katia Sycara. "Distributed Multirobot Control for Non-cooperative Herding." In Distributed Autonomous Robotic Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51497-5_23.

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Bidram, Ali, Vahidreza Nasirian, Ali Davoudi, and Frank L. Lewis. "Control and Modeling of Microgrids." In Cooperative Synchronization in Distributed Microgrid Control. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50808-5_2.

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Konferenzberichte zum Thema "Cooperative distributed control"

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Chanfreut, Paula, José M. Maestre, Quanyan Zhu, and W. P. M. H. Maurice Heemels. "Cooperative nonlinear distributed model predictive control with dissimilar control horizons." In 2024 IEEE 63rd Conference on Decision and Control (CDC). IEEE, 2024. https://doi.org/10.1109/cdc56724.2024.10886159.

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Chen, Lingyi, Jiajun Shen, Wei Wang, Hanzhang Peng, and Kai Liu. "Distributed Cooperative Guidance for Simultaneous Arrival without Numerical Singularities." In 2024 43rd Chinese Control Conference (CCC). IEEE, 2024. http://dx.doi.org/10.23919/ccc63176.2024.10661201.

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Singh, Kushal P., and Twinkle Tripathy. "Distributed Cooperative Laws for Simultaneous Interception in Ring Coupled Unicycles." In 2024 Tenth Indian Control Conference (ICC). IEEE, 2024. https://doi.org/10.1109/icc64753.2024.10883719.

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Lihua, Xie. "Distributed cooperative control and optimization." In 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV). IEEE, 2014. http://dx.doi.org/10.1109/icarcv.2014.7064479.

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Tomic, Ivana, Efstathios Milonidis, and George D. Halikias. "LQR distributed cooperative control of a formation of low-speed experimental UAVs." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737541.

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Jones, Patricia M. "Cooperative support for distributed supervisory control." In the 1st international conference. ACM Press, 1993. http://dx.doi.org/10.1145/169891.170008.

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Stewart, B. T., J. B. Rawlings, and S. J. Wright. "Hierarchical cooperative distributed model predictive control." In 2010 American Control Conference (ACC 2010). IEEE, 2010. http://dx.doi.org/10.1109/acc.2010.5530634.

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Burger, Mathias, Giuseppe Notarstefano, and Frank Allgower. "From non-cooperative to cooperative distributed MPC: A simplicial approximation perspective." In 2013 European Control Conference (ECC). IEEE, 2013. http://dx.doi.org/10.23919/ecc.2013.6669691.

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Zhao, Qilun, Xiwang Dong, Chen Jian, Chen Bai, Qingdong Li, and Zhang Ren. "Distributed cooperative guidance for multiple missiles." In 2016 35th Chinese Control Conference (CCC). IEEE, 2016. http://dx.doi.org/10.1109/chicc.2016.7554187.

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Renzaglia, Alessandro, Lefteris Doitsidis, Agostino Martinelli, and Elias B. Kosmatopoulos. "Adaptive-based distributed cooperative multi-robot coverage." In 2011 American Control Conference. IEEE, 2011. http://dx.doi.org/10.1109/acc.2011.5990822.

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Berichte der Organisationen zum Thema "Cooperative distributed control"

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Feddema, John Todd, Eric Paul Parker, John S. Wagner, and David Alan Schoenwald. Analysis and control of distributed cooperative systems. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/919643.

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Hurtado, John E. Distributed Sensing & Cooperative Control for Plume Tracing. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada410645.

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Parker, L. E. Distributed Planning and Control for Teams of Cooperating Mobile Robots. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/940244.

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Basar, Tamer. Distributed Control for Networked Systems with Non-Traditional Communication Constraints: Lossy Links, Power and Usage Limitations, and Induced Cooperation. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada576967.

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Kwon, Heeseo Rain, HeeAh Cho, Jongbok Kim, Sang Keon Lee, and Donju Lee. International Case Studies of Smart Cities: Anyang, Republic of Korea. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0007013.

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This case study is one of ten international studies developed by the Korea Research Institute for Human Settlements (KRIHS), in association with the Inter-American Development Bank (IDB), for the cities of Anyang, Medellin, Namyangju, Orlando, Pangyo, Rio de Janeiro, Santander, Singapore, Songdo, and Tel Aviv. At the IDB, the Competitiveness and Innovation Division (CTI), the Fiscal and Municipal Management Division (FMM), and the Emerging and Sustainable Cities Initiative (ESCI) coordinated the study. This project was part of technical cooperation ME-T1254, financed by the Knowledge Partnersh
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Colomb, Claire, and Tatiana Moreira de Souza. Regulating Short-Term Rentals: Platform-based property rentals in European cities: the policy debates. Property Research Trust, 2021. http://dx.doi.org/10.52915/kkkd3578.

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Short-term rentals mediated by digital platforms have positive and negative impacts that are unevenly distributed among socio-economic groups and places. Detrimental impacts on the housing market and quality of life of long-term residents have been particular contentious in some cities. • In the 12 cities studied in the report (Amsterdam, Barcelona, Berlin, Brussels, Lisbon, London, Madrid, Milan, Paris, Prague, Rome and Vienna), city governments have responded differently to the growth of short-term rentals. • The emerging local regulations of short-term rentals take multiple forms and exhibi
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