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Multi-agent control and estimation for multi-horizon goals conciliation

Abstract

This project concerns the design, development, analysis, and synthesis of a novel control and estimation architecture for multi-agent systems in which short term individual goals conflict with the long term desirable, or even non-negotiable, system evolution. The envisaged control and estimation framework is a kernel to feed Decision-Support Systems for all decision-making instances within the system.Clearly, the range of problems motivating such an architecture is extremely diverse and pervasive: Sustainable exploitation of natural resources, governance of production and consumption systems, management of all sorts of societal systems (health, education, mobility, entertainment, etc.), and, among others, control of artificial systems subject to constraints on the required resources. (AU)

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VEICULO: TITULO (DATA)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
PATZI AQUINO, PAOLA GEOVANNA; DE PINHO, M. D. R.; SILVA, GERALDO NUNES. Necessary optimality conditions for minimax optimal control problems with mixed constraints. ESAIM-CONTROL OPTIMISATION AND CALCULUS OF VARIATIONS, v. 27, JUL 12 2021. Web of Science Citations: 0.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.