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335 results on '"Minciardi, R."'

11. Development and Theoretical Analysis of Direct Variational Adaptive Control Schemes

Author

Casalino, G., Ferrara, A., Minciardi, R., Byrnes, Christopher I., editor, Amari, S.-I., editor, Anderson, B. D. O., editor, Åström, Karl Johan, editor, Aubin, Jean-Pierre, editor, Banks, H. T., editor, Baras, John S., editor, Bensoussan, A., editor, Burns, John, editor, Chen, Han-Fu, editor, Davis, M. H. A., editor, Fleming, Wendell, editor, Fliess, Michel, editor, Glover, Keith, editor, Hinrichsen, Diederich, editor, Isidori, Alberto, editor, Jakubczyk, B., editor, Kimura, Hidenori, editor, Krener, Arthur J., editor, Kunita, H., editor, Kurzhansky, Alexandre, editor, Kushner, Harold J., editor, Lindquist, Anders, editor, Manitius, Andrzej, editor, Martin, Clyde F., editor, Mitter, Sanjoy, editor, Picci, Giorgio, editor, Pshenichnyj, Boris, editor, Sussmann, H. J., editor, Tarn, T. J., editor, Tikhomirov, V. M., editor, Varaiya, Pravin P., editor, Willems, Jan C., editor, Wonham, W. M., editor, Conte, G., Perdon, A. M., and Wyman, B.

Published
1991
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18. Development of a heuristic project scheduler under resource constraints

Author

Minciardi, R., Paolucci, M., and Puliafito, P.P.

Subjects
Decision support systems -- Research, Scheduling (Management) -- Research, Business, Business, general, Business, international
Abstract

The development of a heuristic scheduling system for resource-constrained problems is presented. The basic heuristic is based on the decomposition of the problem into a string of subproblems. With the tasks simplified, heuristics are also employed to generate feasible schedules for the subproblems using lesser resources. The resulting overall schedule facilitates decision-making for assigning and sequencing tasks under constrained resources.

Published
1994

19. On the existence of stationary optimal receding-horizon strategies for dynamic teams with common past information structures

Author

Aicardi, M., Casalino, G., Minciardi, R., and Zoppoli, R.

Subjects
Stationary processes -- Analysis, Control systems -- Research, Linear systems -- Analysis
Abstract

This note deals with an LQG team control problem characterized by a partial nestedness of the information structure, and by the existence of a common past information set. For such a problem, previous results have established the existence of a sufficient statistic. Since, even under the assumptions made, the determination of optimal strategies over an infinite control horizon remains a difficult problem, the use of a receding horizon control scheme is herein considered. Unfortunately, the use of such a scheme within a decentralized control framework still yields, in general, time-varying strategies. In the present note, a condition for the existence of stationary team optimal receding horizon strategies is provided.

Published
1992

38. Modelling and control of a hybrid renewable energy system to supply demand of a green-building

Author

Dagdougui, H., Minciardi, R., Ouammi, A., Robba, M., roberto sacile, Department of Communication, Universita degli studi di Genova, Centre de recherche sur les Risques et les Crises (CRC), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Unité des Technologies et Economie des Energies Renouvelables, CNRST, Beijing Development Area Co., Ltd., Computing Research Laboratory for the Environment (CRLE), Open Geospatial Consortium, Inc. (OGC), International Symposium on Environmental Software Systems (ISESS), Peking University, and U.S. Geological Survey-Climateand L

Subjects
Optimization, Artificial intelligence, Environmental Engineering, Energy management, PV, Smart grid, Decision support systems, DSS, Wind energy, Software, Modeling and Simulation, [SDE]Environmental Sciences, Wind power, Natural resources, [SHS.GEST-RISQ]Humanities and Social Sciences/domain_shs.gest-risq
Abstract

The Proceedings of the International Congress on International Environmental Modelling and Software (iEMSs 2010) are available here: http://www.iemss.org/iemss2010/proceedings.html; International audience; Renewable energy sources are an "indigenous" environmental option, economically competitive with conventional power generation where good wind and solar resources are available. Hybrid plants can help in improving the economic and environmental sustainability of renewable energy systems to fulfil the energy demand. The aim of this paper is to present the architecture of a Decision Support System (DSS) that can be used for the optimal energy management at a local scale through the integration of different renewable energy sources. The integrated model representing a hybrid energy generation system connected to the grid is developed. It consists of PV and solar thermal modules, wind turbine and biomass plant. Moreover, a framework is presented for the optimization of the different ways to ensure the electrical and thermal energy demand of the microgrid as well as the water demand, with specific reference to two main cases for the real time energy optimal control: the presence/absence of a storage system. Finally, the optimization model has been applied to a case study.

Published
2010

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