Journal articles on the topic 'Co-operative Control'

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1

Birnberg, Jacob G. "Control in Interfirm Co-operative Relationships." Journal of Management Studies 35, no. 4 (July 1998): 421–28. http://dx.doi.org/10.1111/1467-6486.00102.

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2

Gonzalez-Andujar, J. L. "Co-operative versus non-co-operative farmers' weed control decisions in an agricultural landscape." Weed Research 58, no. 5 (June 4, 2018): 327–30. http://dx.doi.org/10.1111/wre.12314.

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3

Mellor, Mary, Janet Hannah, and John Stirling. "Who’s in Control? Job Creation Co-Operatives in a Capitalist Economy." Journal of Interdisciplinary Economics 1, no. 4 (January 1987): 277–86. http://dx.doi.org/10.1177/02601079x8700100406.

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In Britain a new generation of worker co-operatives have emerged that differ from earlier phases of co-operative development in that they have been formed primarily to create jobs in response to the high level of unemployment. All the major political parties favour co-operative development and co-operative support organisations of various kinds have been set up at local and national level. This paper argues that such ‘job creation’ co-operatives and the organisations that support them have come under great pressure to prioritise job creation as against the formulation of effective and secure co-operative structures. This pressure arises because the policies surrounding co-operative development have not taken account of the severe economic pressures the co-operatives face and the consequent effect upon their ability to sustain the co-operative principles of ownership and control of the business by the people who work in it. In the light of the specific needs and problems of the new generation of worker co-operatives the paper argues that the concepts of co-operative ownership and control need to be reassessed, in particular in relation to membership. The distinction between a co-operative and a collective is also re-evaluated together with the need for co-operative structures to be replicated in other aspects of the local community.
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4

Jennings, N. R., J. A. Pople, and E. H. Mamdani. "Designing a reusable co-ordination module for co-operative industrial control applications." IEE Proceedings - Control Theory and Applications 143, no. 1 (January 1, 1996): 91–102. http://dx.doi.org/10.1049/ip-cta:19960186.

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5

Suchner, Robert W., and Judy Wajcman. "Women in Control: Dilemmas of a Workers' Co-operative." Contemporary Sociology 14, no. 3 (May 1985): 378. http://dx.doi.org/10.2307/2071360.

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6

Fujiwara, Yukihiro, Yasushi Shoda, and Shuichi Adachi. "DEVELOPMENT OF OBSTACLE AVOIDANCE SYSTEM USING CO-OPERATIVE CONTROL." IFAC Proceedings Volumes 38, no. 1 (2005): 170–75. http://dx.doi.org/10.3182/20050703-6-cz-1902.01916.

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7

Hatakeyama, Takashi, Choei Takahashi, Takashi Shirasaki, Hiromichi Sato, Kenji Mitsumoto, Yasuo Takagi, Shigeru Koshida, Wataro Shinohara, and Youichi Uemura. "A study on Governor-PSS Co-Operative Control via robust control theory." IEEJ Transactions on Power and Energy 121, no. 12 (2001): 1825–32. http://dx.doi.org/10.1541/ieejpes1990.121.12_1825.

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8

Taylor, J. M. "IEE Computing & Control Division: Chairman's address: Co-operative computing and control." IEE Proceedings E Computers and Digital Techniques 137, no. 1 (1990): 1. http://dx.doi.org/10.1049/ip-e.1990.0001.

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9

BOONLONG, KITTIPONG, NACHOL CHAIYARATANA, and SUWAT KUNTANAPREEDA. "OPTIMAL CONTROL OF A HYSTERESIS SYSTEM BY MEANS OF CO-OPERATIVE CO-EVOLUTION." International Journal of Computational Intelligence and Applications 04, no. 04 (December 2004): 321–36. http://dx.doi.org/10.1142/s1469026804001367.

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This paper presents the use of a co-operative co-evolutionary genetic algorithm (CCGA) for solving optimal control problems in a hysteresis system. The hysteresis system is a hybrid control system which can be described by a continuous multivalued state-space representation that can switch between two possible discrete modes. The problems investigated cover the optimal control of the hysteresis system with fixed and free final state/time requirements. With the use of the Pontryagin maximum principle, the optimal control problems can be formulated as optimisation problems. In this case, the decision variables consist of the value of control signal when a switch between discrete modes occurs while the objective value is calculated from an energy cost function. The simulation results indicate that the use of the CCGA is proven to be highly efficient in terms of the minimal energy cost obtained in comparison to the results given by the searches using a standard genetic algorithm and a dynamic programming technique. This helps to confirm that the CCGA can handle complex optimal control problems by exploiting a co-evolutionary effect in an efficient manner.
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10

Alexander, I. "Migrating towards co-operative requirements engineering." Computing & Control Engineering Journal 10, no. 1 (February 1, 1999): 17–22. http://dx.doi.org/10.1049/cce:19990105.

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11

Michelini, Rinaldo, and Roberto Razzoli. "Co‐operative minimally invasive robotic surgery." Industrial Robot: An International Journal 35, no. 4 (June 20, 2008): 347–60. http://dx.doi.org/10.1108/01439910810876445.

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12

Erden, Deniz. "Control mechanisms of multinational companies: co‐operative ventures in Turkey." Cross Cultural Management: An International Journal 2, no. 2 (February 1995): 23–37. http://dx.doi.org/10.1108/eb008388.

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13

Brenner, Eli, and Jeroen B. J. Smeets. "Hitting moving targets: Co-operative control of ‘when’ and ‘where’." Human Movement Science 15, no. 1 (February 1996): 39–53. http://dx.doi.org/10.1016/0167-9457(95)00036-4.

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14

Sadananda, R., and N. Mani. "Modelling co-operative knowledge systems in design." Engineering Applications of Artificial Intelligence 4, no. 2 (January 1991): 109–19. http://dx.doi.org/10.1016/0952-1976(91)90050-g.

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15

Mhatre, Pratik. "Development of Co-Operative Wireless Relaying Communication based Train Control System." International Journal for Research in Applied Science and Engineering Technology 6, no. 4 (April 30, 2018): 3006–10. http://dx.doi.org/10.22214/ijraset.2018.4501.

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16

Mohd Saleh, Norman, and Noradiva Hamzah. "Co-operative Governance and the Public Interest: Between Control and Autonomy." Jurnal Pengurusan 51 (2017): 209–24. http://dx.doi.org/10.17576/pengurusan-2017-51-17.

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17

Williams, Claire. "Book Reviews : Women in Control: Dilemmas of a Workers Co-Operative." Journal of Industrial Relations 28, no. 1 (March 1986): 150–51. http://dx.doi.org/10.1177/002218568602800114.

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18

Haas, Ain. "Women in Control: Dilemmas of a Workers' Co-Operative. Judy Wajcman." Signs: Journal of Women in Culture and Society 12, no. 1 (October 1986): 172–73. http://dx.doi.org/10.1086/494308.

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19

Bobrzynski, Wojciech, and Edward Nawarecki. "Co-operative Autonomous Active Agents in Control of Complex Industrial Processes." IFAC Proceedings Volumes 30, no. 7 (June 1997): 451–56. http://dx.doi.org/10.1016/s1474-6670(17)43306-4.

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20

Cotgreave, Peter. "WINNER TAKES ALL? SOCIAL CONTROL OF REPRODUCTION IN CO-OPERATIVE BREEDERS." Journal of Zoology 244, no. 1 (January 1998): 155–56. http://dx.doi.org/10.1111/j.1469-7998.1998.tb00017.x.

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21

OSTI, GIORGIO. "CO-OPERATIVE REGULATION: CONTRASTING ORGANIZATIONAL MODELS FOR THE CONTROL OF PESTICIDES." Sociologia Ruralis 32, no. 1 (April 1992): 163–77. http://dx.doi.org/10.1111/j.1467-9523.1992.tb00925.x.

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22

Adnan, Muhammad, Mansoor Ali, Anas Basalamah, and Muhammad Tariq. "Preventing Cascading Failure Through Fuzzy Co-Operative Control Mechanism Using V2G." IEEE Access 7 (2019): 142607–22. http://dx.doi.org/10.1109/access.2019.2944848.

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23

Bosch, Eric, Nathan P. Bowling, and Shalisa M. Oburn. "Conformational control through co-operative nonconventional C—H...N hydrogen bonds." Acta Crystallographica Section C Structural Chemistry 77, no. 8 (July 26, 2021): 485–89. http://dx.doi.org/10.1107/s2053229621007427.

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We report the design, synthesis, and crystal structure of a conjugated aryleneethynyl molecule, 2-(2-{4,5-dimethoxy-2-[2-(2,3,4-trifluorophenyl)ethynyl]phenyl}ethynyl)-6-[2-(pyridin-2-yl)ethynyl]pyridine, C30H17F3N2O2, that adopts a planar rhombus conformation in the solid state. The molecule crystallizes in the space group P-1, with Z = 2, and features two intramolecular sp2 -C—H...N hydrogen bonds that co-operatively hold the arylethynyl molecule in a rhombus conformation. The H atoms are activated towards hydrogen bonding since they are situated on a trifluorophenyl ring and the H...N distances are 2.470 (16) and 2.646 (16) Å, with C—H...N angles of 161.7 (2) and 164.7 (2)°, respectively. Molecular electrostatic potential calculations support the formation of C—H...N hydrogen bonds to the trifluorophenyl moiety. Hirshfeld surface analysis identifies a self-complementary C—H...O dimeric interaction between adjacent 1,2-dimethoxybenzene segments that is shown to be common in structures containing that moiety.
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24

Schumacher, Christoph R. "Trust – a Substitute or Complement for Control? Evidence from Germany." Journal of Interdisciplinary Economics 16, no. 3 (April 2005): 307–22. http://dx.doi.org/10.1177/02601079x05001600306.

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Co-operative agreements are often characterized as unstable, risky or dangerous due to the uncertainty regarding a partner’s future behaviour. However, firms still enter into cooperative relationships as governance structures that promote safety and stability theoretically exist. While standard co-operation theory encourages the use of control measures to reduce the risk of exploitation, scholars have increasingly criticized the strong emphasis on control and stressed the importance of trust. The concepts of trust and control are both well understood. However, little consensus exists regarding whether trust and control are substitutes or complements. This paper attempts to determine the relationship between trust and control by analyzing data from co-operative relationships of 67 German small and medium-sized enterprises. Results indicate that a substitutive relationship between control and trust exists.
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25

Kurimoto, Akira. "Outline of the Workers Co-operative Act in Japan - Líneas generales de la Ley de cooperativas de trabajadores en Japón." CIRIEC-España, revista jurídica de economía social y cooperativa, no. 38 (July 22, 2021): 293. http://dx.doi.org/10.7203/ciriec-jur.38.20995.

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The Japanese co-operative legislation is characterized by the separate laws that are specializing to regulate the particular categories of co-operatives and enacted in line with the industrial policies, and the strong government’s control on incorporation and business activities. The Industrial Co-operative Act of 1900 was a uniform law following the German model and provided for the legal framework of credit, supply, marketing and production2 co-operatives. After the Second World War, the allied force introduced the radical land reform as a part of economic democratization programs and helped to enact the Agricultural Co-operative Act in 1947 to cement the effects of reform through organizing farmers in agricultural co-operatives. Then, the other co-operative laws were enacted in line with industrial policies (fishery, forestry, banking, SMEs etc.) during 1948-1978.
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26

Newhook, Rebecca. "Are University Co-operative Education Students Safe? Perceptions of Risk to Students on Work Terms." Canadian Journal of Higher Education 46, no. 1 (April 13, 2016): 121–37. http://dx.doi.org/10.47678/cjhe.v46i1.186042.

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As students venture off campus for university-sponsored activities, are they at risk, given that universities are better able to control risk factors on campus than they can for their off-campus activities? Co-operative education is a formalized and longstanding academic program that often sees students spend upwards of a third of their time off campus during the completion of a degree; thus, a discussion of the risks in co-operative education could provide a basis for assessing levels of risk for other off-campus activities. This qualitative, descriptive case study examines co-operative education co-ordinators’ perceptions of the risks to students in co-operative education programs in Canadian universities. Fourteen co-ordinators from across Canada participated in one-on-one interviews. Co-ordinators acknowledged that of the partners in co-operative education, the student is the most at risk. However, they viewed co-operative education as a safe endeavour for students, and there was agreement that the actual risk to students is minimal. The risk factors identified by co-ordinators included personal safety, harassment, youth or limited life experience, and mental health.
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27

Connolly, Christine. "Motoman markets co‐operative and humanoid industrial robots." Industrial Robot: An International Journal 36, no. 5 (August 21, 2009): 417–20. http://dx.doi.org/10.1108/01439910910980132.

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28

Nakamura, Masatoshi, Shinji Yamanaka, Satoru Goto, and Nobuhiro Kyura. "Co-operative Control of Plural Articulated Robot Arms by Use of Synchronous Positioning Control Technique." IEEJ Transactions on Electronics, Information and Systems 121, no. 12 (2001): 1943–48. http://dx.doi.org/10.1541/ieejeiss1987.121.12_1943.

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29

NAKAMURA, Masatoshi, Shinji YAMANAKA, Satoru GOTO, and Nobuhiro KYURA. "Co-operative Control of Plural Articulated Robot Arms by Use of Synchronous Positioning Control Technique." Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2001 (May 5, 2001): 201–6. http://dx.doi.org/10.5687/sss.2001.201.

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30

Pejtersen, Annelise Mark. "Design of Ecological Information Systems for Co-Operative Work." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 22 (July 2000): 583–86. http://dx.doi.org/10.1177/154193120004402223.

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Most work on ecological interfaces has addressed process control and aviation systems driven by constraints from physical laws. This paper illustrates the design process of a system driven by users' intentions. It raises some problems that occur in the design of ecological systems that support co-operative work that is driven both by constraints from organisational policies and from users' intentions.
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31

Bialoskorski Neto, Sigismundo, Marcelo Barroso, and Amaury Rezende. "Co-operative governance and management control systems: an agency costs theoretical approach." Brazilian Business Review 9, no. 2 (April 1, 2012): 68–87. http://dx.doi.org/10.15728/bbr.2012.9.2.4.

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32

Matthews, Philippa C., Jennifer Listgarten, Jonathan M. Carlson, Rebecca Payne, Kuan-Hsiang Gary Huang, John Frater, Dominique Goedhals, et al. "Co-Operative Additive Effects between HLA Alleles in Control of HIV-1." PLoS ONE 7, no. 10 (October 19, 2012): e47799. http://dx.doi.org/10.1371/journal.pone.0047799.

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33

Khan, Muhammad Umer, Shuai Li, Qixin Wang, and Zili Shao. "Formation Control and Tracking for Co-operative Robots with Non-holonomic Constraints." Journal of Intelligent & Robotic Systems 82, no. 1 (February 29, 2016): 163–74. http://dx.doi.org/10.1007/s10846-015-0287-y.

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34

Yasui, Kazuya, Toshiyuki Murakami, and Kouhei Ohnishi. "A Co-operative Transferring Task by Mobile Manipulators." Journal of Robotics and Mechatronics 12, no. 6 (December 20, 2000): 712–17. http://dx.doi.org/10.20965/jrm.2000.p0712.

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In this paper, a method of grasping and transferring a large object by cooperative motion of multiple manipulators is introduced. To implement the task with mobile manipulators, the compliance of the grasping system between the object and end-effectors is needed. It enables us to avoid excessive internal force due to mutual positioning errors. However, the simple way of trajectory planning of the system is also required. Because the trajectory planning used to be given to each manipulator, it has been very complicated task to design the desired trajectories for each mobile manipulator. Thus this paper adopt the control algorithm with respect to objects to reduce the amount of planning tasks. The static relation between the object and end-effectors is introduced to solve the issues above. It combines the force reference of end-effectors and that of an object with static analysis of force. With this algorithm, the motion of an object is distributed to each end-effector. Then the grasping is projected to the null space of this static force relation. For confirmation of the proposed method, computational analyses are implemented and shown.
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35

Skulstad, Robert, Guoyuan Li, Thor I. Fossen, Tongtong Wang, and Houxiang Zhang. "A Co-operative Hybrid Model For Ship Motion Prediction." Modeling, Identification and Control: A Norwegian Research Bulletin 42, no. 1 (2021): 17–26. http://dx.doi.org/10.4173/mic.2021.1.2.

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36

Rajamani, R., and S. E. Shladover. "An experimental comparative study of autonomous and co-operative vehicle-follower control systems." Transportation Research Part C: Emerging Technologies 9, no. 1 (February 2001): 15–31. http://dx.doi.org/10.1016/s0968-090x(00)00021-8.

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37

Das, Bikramaditya, Bidyadhar Subudhi, and Bibhuti Bhusan Pati. "Co-operative control coordination of a team of underwater vehicles with communication constraints." Transactions of the Institute of Measurement and Control 38, no. 4 (June 30, 2015): 463–81. http://dx.doi.org/10.1177/0142331215590010.

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38

Shepherd, Dean A., and Andrew Zacharakis. "The venture capitalist-entrepreneur relationship: Control, trust and confidence in co-operative behaviour." Venture Capital 3, no. 2 (April 2001): 129–49. http://dx.doi.org/10.1080/13691060110042763.

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39

El-Saify, H. A., H. M. Serag, and M. A. Shehata. "Time-optimal control problem for co-operative hyperbolic systems involving the Laplace operator." Journal of Dynamical and Control Systems 15, no. 3 (July 2009): 405–23. http://dx.doi.org/10.1007/s10883-009-9067-y.

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40

Ferreira, N. M. Fonseca, and J. A. Tenreiro Machado. "Fractional Control of Coordinated Manipulators." Journal of Advanced Computational Intelligence and Intelligent Informatics 11, no. 9 (November 20, 2007): 1072–78. http://dx.doi.org/10.20965/jaciii.2007.p1072.

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When two robots execute a coordinated motion it is required specification not only of the desired trajectory of each robot, but also of the forces exerted by the end effectors. This article discusses the fractional-order position and force control of two co-operative robots handling one object. The system robustness and performance is analyzed and compared with other control approaches. The experiments reveal that fractional algorithms lead to performances superior to classical integer-order controllers.
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41

Boscia, Vittorio, Pietro Marchetti, and Valeria Stefanelli. "Do the women matter in co-operative banks’ boards?" Journal of Governance and Regulation 4, no. 3 (2015): 57–66. http://dx.doi.org/10.22495/jgr_v4_i3_p5.

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The topic of gender diversity is assuming greater importance not only for regulatory reasons. In credit cooperative field, the presence of gender diversity can qualify among the mutual aims and social sector should pursue. With reference to cooperative banks, the work aims to verify whether board gender diversity increases the creation of value for stakeholders, in terms of stakeholders’ global value added (shareholders, employees, customers, regulators, community and external environment). We propose an econometric approach based on OLS regression model; the econometric model adopted to test our research hypothesis take into account three dependent variables in order to measure the amount and the distribution of value created by each cooperative bank, like Global Value Added Index, HHI Index and GINI Index. Regarding the regressors in order to express the bank governance profile, the choice of variables is based on the results of the studies relating to bank governance-performance. Our model takes also into account other macro-economic control regressors. The model is tested on a sample of Italian cooperative banks. Previous studies on board gender diversity in cooperative banks are particularly limited as a result of limited information and opacity of this field. The existing studies are limited to analyses of the effects on performance of the separation between ownership and control or of the corporate and governance structures, neglecting the dynamics of gender diversity; recently, some authors have investigated the relationship between the composition of loan portfolios and the structure and membership of the boards of cooperative banks in Spain, without however considering the board gender diversity. Our work allows you to expand the knowledge on the issue of governance of cooperative banks. Our study proposes some indicators to assess the social and mutual performance of cooperative banks; it puts in evidence if board gender diversity may improve the amount and also the equity distribution of the value creation process to stakeholders’ cooperative banks. The outcomes of the paper may indicate possible best practices with respect to bank governance in bad economic times. So the gender diversity in board cooperative bank may contribute to support better business performance and, specifically, the bank’s ability to create and distribute finance customers characterized by a lower credit risk. Based on these results, some managerial implications are proposed.
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42

Kaliyeva, Samal, Francisco Jose Areal, and Yiorgos Gadanakis. "Would Kazakh Citizens Support a Milk Co-Operative System?" Agriculture 11, no. 7 (July 8, 2021): 642. http://dx.doi.org/10.3390/agriculture11070642.

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We estimate the monetary value of a policy aimed at increasing rural co-operative production in Kazakhstan to increase milk production. We analyse the drivers associated with public support for such policy using the contingent valuation method. The role of individuals’ psychological aspects, based on the reasoned action approach, along with individuals’ views on the country’s past regime (i.e., to the former Soviet Union), their awareness about the governmental policy, their sociodemographic characteristics, and household location on their willingness to pay (WTP) for the policy is analysed using an interval regression model. Additionally, we examine changes in individuals’ WTP before and during the COVID-19 pandemic. The estimated total economic value of the policy is KZT 1335 bn for the length of the program at KZT 267 bn per year, which is approximately half the total program budget, which includes other interventions beyond the creation of production co-operatives. The total economic value of the policy would equal the cost of the whole program after 10 years, indicating public support for this policy amongst Kazakh citizens. Psychological factors, i.e., attitude, perceived social pressure, and perceived behavioural control, and the respondents’ awareness of the policy and views on the Soviet Union regime are associated with their WTP. Sociodemographic factors, namely, age, income, and education, are also statistically significant. Finally, the effect of the shocks of COVID-19 is negatively associated with the respondents’ WTP.
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43

Xiang, Min, Yang Xu, Chuan-yong Li, Yang Liu, and Yi Zhang. "Energy conservation co-operative control mechanism based on gray prediction for structural air compressor." Automation in Construction 30 (March 2013): 184–90. http://dx.doi.org/10.1016/j.autcon.2012.10.002.

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44

Wang, Qing-Guo, Yong Zhang, Wen-Jian Cai, Qiang Bi, and Chang-Chieh Hang. "Co-operative control of multi-input and single-output processes: Problem formulation and solution." IFAC Proceedings Volumes 32, no. 2 (July 1999): 1326–31. http://dx.doi.org/10.1016/s1474-6670(17)56224-2.

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45

ISHIZUKA, Shinichi, and Itsuro KAJIWARA. "2A14 Co-operative PID tuning for interference systems using Simultaneous Perturbation Stochastic Approximation(The 12th International Conference on Motion and Vibration Control)." Proceedings of the Symposium on the Motion and Vibration Control 2014.12 (2014): _2A14–1_—_2A14–12_. http://dx.doi.org/10.1299/jsmemovic.2014.12._2a14-1_.

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46

Palmer, L., and J. A. A. Engelbrecht. "Co-operative Collision Avoidance for Unmanned Aerial Vehicles using both Centralised and Decoupled Approaches." IFAC-PapersOnLine 53, no. 2 (2020): 10208–15. http://dx.doi.org/10.1016/j.ifacol.2020.12.2750.

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47

Hirasawa, Kotaro, Jinglu Hu, Yusuke Yamamoto, Chunzhi Jin, and Yurio Eki. "Control of Decentralized Systems Based on Nash Equilibrium Concept of Game Theory." Journal of Advanced Computational Intelligence and Intelligent Informatics 3, no. 4 (August 20, 1999): 312–19. http://dx.doi.org/10.20965/jaciii.1999.p0312.

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In this paper, a new control method for decentralized systems is proposed by using the concept of Nash equilibrium points of non co-operative game. The main reason for applying non co-operative game to decentralized systems is that multi-objective decentralized systems can be easily formulated without considering weighting factor of each objective function. It is supposed that the system stated in this article is composed of many subsystems including their own controllers, so each subsystem can be regarded as a player in the game. Each subsystem and its controller are described by the Universal Learning Networks which have been proposed to provide a universal framework for the class of neural networks. From the above assumptions it is theoretically shown that if the criterion function for each subsystem can be defined individually, the Nash equilibrium points can be calculated by the commonly used gradient learning algorithm of networks. Simulation studies on a decentralized tank network control system show that the Nash equilibrium points can be obtained systematically and effectively by the proposed method.
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48

Lenin, K., and M. R. Mohan. "Ant colony search algorithm for optimal reactive power optimization." Serbian Journal of Electrical Engineering 3, no. 1 (2006): 77–88. http://dx.doi.org/10.2298/sjee0601077l.

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The paper presents an (ACSA) Ant colony search Algorithm for Optimal Reactive Power Optimization and voltage control of power systems. ACSA is a new co-operative agents? approach, which is inspired by the observation of the behavior of real ant colonies on the topic of ant trial formation and foraging methods. Hence, in the ACSA a set of co-operative agents called "Ants" co-operates to find good solution for Reactive Power Optimization problem. The ACSA is applied for optimal reactive power optimization is evaluated on standard IEEE, 30, 57, 191 (practical) test bus system. The proposed approach is tested and compared to genetic algorithm (GA), Adaptive Genetic Algorithm (AGA).
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49

Smith, C., and T. Mayes. "Helping teleworkers to help each other co-operative learning through WWW." Computing & Control Engineering Journal 7, no. 1 (February 1, 1996): 27–32. http://dx.doi.org/10.1049/cce:19960106.

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Newalkar, Nidhi, Piyush Kumar Shukla, and Sanjay Silakari. "Helper Feedback based Medium Access Control Protocol: A Reliable Co-operative MAC Scheme for MANET." International Journal of Computer Network and Information Security 7, no. 2 (January 8, 2015): 50–58. http://dx.doi.org/10.5815/ijcnis.2015.02.06.

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