{"id":938,"date":"2026-07-16T14:02:40","date_gmt":"2026-07-16T17:02:40","guid":{"rendered":"https:\/\/sites.usp.br\/cba2026\/?page_id=938"},"modified":"2026-07-20T08:45:38","modified_gmt":"2026-07-20T11:45:38","slug":"plenaristas","status":"publish","type":"page","link":"https:\/\/sites.usp.br\/cba2026\/plenaristas\/","title":{"rendered":"Plenaristas"},"content":{"rendered":"\t\t
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Plen\u00e1rias<\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Structure meets Data\n\u2013 System Representation for Trustworthy and Efficient Control<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Sandra Hirche<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Professor
\nTechnische\u00a0Universit\u00e4t M\u00fcnchen (TUM)<\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Resumo:<\/b> Data-driven models are increasingly employed to complement or replace first-principles models in modern control systems. Yet purely data-driven\napproaches often lack the guarantees on stability, safety, and generalization\nthat control applications demand, and they typically require large amounts of\ndata to perform well. This talk argues that the key to overcoming these\nlimitations lies not in choosing between physics-based and data-driven\nmodeling, but in systematically combining them: embedding structural\nknowledge \u2014 from physical laws to symmetries \u2014 directly into the learning\nprocess. We will present approaches to structured dynamic system\nrepresentation using Gaussian processes. We show how exploiting structure\nimproves data efficiency, yields calibrated uncertainty quantification, and\nenables formal guarantees on robust closed-loop stability and safety \u2014 key\ningredients for trustworthy control. We illustrate the benefits of these\nstructured representations on robotic and human-machine systems.<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Bio:<\/b> Sandra\u00a0Hirche\u00a0holds the TUM Liesel Beckmann Distinguished Professorship\nand heads the Chair of Information-oriented Control in the Department of\nElectrical and Computer Engineering at Technical University of Munich (TUM),\nGermany (since 2013). She received the diploma engineer degree in\nAeronautical and Aerospace Engineering in 2002 from the Technical\nUniversity Berlin, Germany, and the Doctor of Engineering degree in Electrical\nand Computer Engineering in 2005 from the\u00a0Technische\u00a0Universit\u00e4t M\u00fcnchen,\nMunich, Germany. From 2005-2007 she has been a\u00a0PostDoc\u00a0Fellow of the\nJapanese Society for the Promotion of Science at the Fujita Laboratory at\nTokyo Institute of Technology, Japan. Prior to her present appointment she\nhas been an Associate Professor at TUM.\u00a0\n\u00a0
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\nHer main research interests include learning, cooperative, and networked\ncontrol with applications in human-robot interaction, multi-robot systems, and\ngeneral robotics. She has published more than 200 papers in international\njournals,\u00a0books\u00a0and refereed conferences. She has received multiple awards\nsuch as the Rohde & Schwarz Award for her PhD thesis, the IFAC World\nCongress Best Poster Award in 2005 and \u2013 together with students\u00a0\u2013\u202f\nBest\u00a0Paper Awards of IEEE\u00a0Worldhaptics\u00a0and IFAC Conference of\nManoeuvring and Control of Marine Craft in 2009 and the Outstanding Student\nPaper Award of the IEEE Conference on Decision and Control 2018. In 2013\nshe has been awarded with an ERC Starting Grant on the \u201cControl based on\nHuman Models\u201d and in 2019 with the ERC Consolidator Grant on \u201cSafe data-\ndriven control for human-centric systems\u201d. Sandra\u00a0Hirche\u00a0is Fellow of the\nIEEE and IFAC Fellow.<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Uso de Informa\u00e7\u00e3o Auxiliar na Identifica\u00e7\u00e3o de Sistemas N\u00e3o Lineares<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Luis Antonio Aguirre<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\nPlen\u00e1ria Bottura-Castrucci<\/em><\/h6>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Resumo:<\/b> A identifica\u00e7\u00e3o de sistemas nasceu no contexto de sistemas representados como \u201ccaixas pretas\u201d. Nesse cen\u00e1rio o objetivo \u00e9 construir modelos exclusivamente a partir de dados din\u00e2micos, normalmente obtidos durante testes espec\u00edficos. Quando n\u00e3o se tem outras informa\u00e7\u00f5es sobre o sistema al\u00e9m desse conjunto de dados, a identifica\u00e7\u00e3o caixa preta \u00e9 uma \u00f3tima op\u00e7\u00e3o na constru\u00e7\u00e3o de modelos. Um leve desvio dessas t\u00e9cnicas, conhecido como identifica\u00e7\u00e3o semif\u00edsica, \u00e9 composto de t\u00e9cnicas que utilizam conhecimento do sistema para determinar a estrutura matem\u00e1tica do modelo e os dados s\u00e3o empregados para estimar par\u00e2metros. Nesta palestra desejamos dar um passo al\u00e9m da modelagem semif\u00edsica. Imaginamos que informa\u00e7\u00e3o adicional do sistema n\u00e3o determina por completo a estrutura do modelo, sendo que em alguns casos ela est\u00e1 na forma de um conjunto de dados em estado estacion\u00e1rio. Alguns tipos de informa\u00e7\u00e3o auxiliar \u00fateis em identifica\u00e7\u00e3o de sistemas s\u00e3o revistos, bem como procedimentos para levar a informa\u00e7\u00e3o adicional em conta durante a constru\u00e7\u00e3o de modelos. Esses m\u00e9todos constituem parte do que se conhece por identifica\u00e7\u00e3o \u201ccaixa cinza\u201d. Dois estudos de caso s\u00e3o discutidos.<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Bio:<\/b> Luis A. Aguirre recebeu os t\u00edtulos de Bacharel e Mestre em Engenharia El\u00e9trica pela Universidade Federal de Minas Gerais em 1987 e 1990, respectivamente. Obteve o grau de doutor em 1994 pela Universidade de Sheffield, Inglaterra por trabalho em Identifica\u00e7\u00e3o de Sistemas N\u00e3o Lineares. Desde 2010 \u00e9 professor Titular da Universidade Federal de Minas Gerais, no Departamento de Engenharia Eletr\u00f4nica, onde coordenou o Programa de P\u00f3s-Gradua\u00e7\u00e3o em Engenharia El\u00e9trica por cinco anos. Serviu como membro e coordenador da C\u00e2mara de Tecnologia em Engenharia (FAPEMIG) e no Comit\u00ea Assessor do CNPq. Foi cordenador de \u00e1rea adjunto junto \u00e0 CAPES. Atualmente \u00e9 Editor Chefe do peri\u00f3dico Nonlinear Science (Elsevier) desde sua funda\u00e7\u00e3o em 2024 e Editor Regional do peri\u00f3dico Modelling, Identification and Control (Inderscience) desde sua funda\u00e7\u00e3o em 2006. No passado foi Editor Chefe do peri\u00f3dico Controle & Automa\u00e7\u00e3o (SBA) e Editor Associado do peri\u00f3dico International Journal of Systems Science (Taylor & Francis). \u00c9 bolsista PQ-1A desde 2012. Foi vice-presidente da SBA em dois mandatos.<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Stability and Signal Generator Agnostic Moment Matching<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Alessandro Astolfi<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Abstract:<\/b> Moment matching is a model reduction technique that allows the\nconstruction of reduced-order models preserving specific moments. These moments are associated with the steady-state output response of the system to be reduced, interconnected in an open-loop fashion with a signal generator. Model matching thus relies on strong stability properties and on the availability of a model of the signal generator.\n

\n\nTo relax these requirements, in the first part of the talk we introduce a data-driven\nprocedure for computing reduced-order models from input-output data generated by an agnostic signal generator. The moments are directly identified from the output of the system to be reduced, and the resulting reduced-order models achieve asymptotic matching.\n\n

\n\nTo relax the stability requirements, in the second part of the talk we revisit the notion of moment matching by introducing the concept of closed-loop interpolation. This notion relies upon the construction of a novel class of signal generators, which are\nfeedback-interconnected with the plant to be reduced, and allows the definition of\nmoments and models for unstable systems. The existence of a family of models that\nparameterise all, possibly unstable, systems achieving moment matching in a\nclosed-loop fashion is also presented.<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Bio:<\/b> Alessandro Astolfi (IFAC Fellow, FIEEE, Academia Europaea, FIET,\nITATEC, ACA Fellow, EUCA Fellow) received the Laurea in Electronic Engineering\nfrom the University of Rome La Sapienza, Italy, in 1991; the M.Sc. degree in\nInformation Theory and the Ph.D. degree with Medal of Honor with a thesis on\ndiscontinuous stabilization of holonomic systems from ETH Zurich, Switzerland, in\n1995; and the Ph.D. degree for his work on nonlinear robust control from the\nUniversity of Rome \u201cLa Sapienza\u201d in 1996.\n\n

\n\nFrom 1992 to 1996 he was a Research Associate at ETH Zurich. From 1996 to\n2026, he was with the Electrical and Electronic Engineering Department, Imperial\nCollege London. In particular, he was Professor of Nonlinear Control Theory; College\nConsul for the Faculty of Engineering and Business School (2022\u20132025); and Head\nof the Control and Power Group (2010\u20132022). From 1998 to 2003 he was an\nAssociate Professor with the Department of Electronics and Information, Politecnico\ndi Milano. From 2005 to 2025 he was a Professor with the Dipartimento di Ingegneria\nCivile e Ingegneria Informatica, University of Rome Tor Vergata, Rome. Since\nFebruary 2026, he is a Professor of Applied Mathematics and Computational\nScience at KAUST, Saudi Arabia.\n\n

\n\nHis research interests include mathematical control theory and control applications,\nwith special emphasis on the problems of discontinuous stabilization, robust and\nadaptive control, observer design, optimal control, game theory, and model\nreduction.\n\n

\n\n\nDr. Astolfi was the recipient of the IEEE CSS A. Ruberti Young Researcher Prize\n(2007); the IEEE RAS Googol Best New Application Paper Award (2009); the IEEE\nCSS George S. Axelby Outstanding Paper Award (2012); the Automatica Best Paper\nAward (2017); and the IEEE Transactions on Control Systems Technology\nOutstanding Paper Award (2023). He is a \u201cDistinguished Member\u201d of the IEEE CSS\nand a recipient of the IFAC Outstanding Service Award (2017). He is the recipient of\nthe Institute of Measurement and Control Sir Harold Hartley Medal for \u201coutstanding\ncontributions to the technology of measurement and control.\u201d\n\n

\n\nHe was Editor-in-Chief of the IEEE Transactions on Automatic Control (2018\u20132025)\nand Chair of the IEEE CSS Conference Editorial Board (2010\u20132017). He is Vice\nChair of the IFAC Technical Board (2020\u20132026); and a Member of the IEEE\nThesaurus Editorial Board (2025\u2013) and of the IEEE PRAC (2026\u2013).<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Differentiable Control and GPU Parallelism: A New Optimization Framework for Robotics<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Fabio Ramos<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Abstract:<\/b> Massively parallel hardware has unlocked unprecedented computational power in robotics, shifting our analytical focus from finding a single motion to generating a diverse and resilient set of solutions. But how do we mathematically define or measure diversity in motion planning for robotics manipulators? In this talk, I will provide a probabilistic interpretation for diversity and show how tools designed for machine learning\u2014such as differentiable programming languages and parallel computation on GPUs\u2014can be utilized for large-scale probabilistic inference in planning and control. I will describe a powerful nonparametric inference method that leverages both differentiability and parallelism to provide posterior approximations for real-time Model Predictive Control (MPC), and task and motion planning. Finally, I will formulate diversity in trajectory planning through a new mathematical tool\u2014signature transforms\u2014that leads to highly resilient, next-generation motion planning methods capable of handling the uncertainties of real-world robotics manipulation.<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Bio:<\/b> Fabio Ramos is a Professor of Robotics and Machine Learning at The University of Sydney in Australia, and a Principal Research Scientist at NVIDIA, USA. He is an alumnus of the Polytechnic School, University of S\u00e3o Paulo (USP), where he received his BSc and MSc in Mechatronics Engineering, before completing his PhD at the University of Sydney. His research centers on statistical machine learning for large-scale Bayesian inference and decision-making in robotics and heavy industry\u2014notably leading the design of the world\u2019s first autonomous open-pit iron mine. He has authored over 200 peer-reviewed publications and holds multiple Best Paper Awards from premier venues like RSS, IROS, and ECML.<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Controle de Sistemas Comutados: Uma Perspectiva Baseada em Grafos<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Thiago Alves Lima<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Instituto Tecnol\u00f3gico de Aeron\u00e1utica (ITA)<\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\nPlen\u00e1ria Jovem Pesquisador<\/em><\/h6>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Resumo:<\/b> Esta palestra apresenta resultados recentes sobre o controle de sistemas comutados por meio de ferramentas baseadas em grafos. Para a classe de sistemas comutados com modos lineares e em tempo discreto, s\u00e3o discutidas a constru\u00e7\u00e3o de fun\u00e7\u00f5es de Lyapunov e a s\u00edntese de controladores a partir de fam\u00edlias de grafos com estruturas particulares. Ser\u00e1 mostrado que, para uma classe espec\u00edfica de grafos, obt\u00eam-se, pela primeira vez na literatura, condi\u00e7\u00f5es convexas, expressas por LMIs, que s\u00e3o assintoticamente necess\u00e1rias e suficientes para a estabiliza\u00e7\u00e3o sob comuta\u00e7\u00e3o arbitr\u00e1ria. Em seguida, utilizando teoria de linguagens formais e aut\u00f4matos, ser\u00e1 apresentada uma extens\u00e3o dessas ferramentas para cen\u00e1rios em que a estabiliza\u00e7\u00e3o sob comuta\u00e7\u00e3o arbitr\u00e1ria n\u00e3o \u00e9 poss\u00edvel. A palestra ser\u00e1 conclu\u00edda com uma breve discuss\u00e3o sobre perspectivas e desafios atuais em sistemas comutados.<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Bio:<\/b> Thiago Alves Lima \u00e9 professor do Instituto Tecnol\u00f3gico de Aeron\u00e1utica (ITA) no novo campus de Fortaleza, Cear\u00e1. Realizou gradua\u00e7\u00e3o, mestrado e doutorado em Engenharia El\u00e9trica pela Universidade Federal do Cear\u00e1 (UFC). Concluiu o doutorado em 2021, tendo realizado per\u00edodo sandu\u00edche de 15 meses no laborat\u00f3rio LAAS (CNRS), em Toulouse, Fran\u00e7a. Em seguida, realizou p\u00f3s-doutorados na Universit\u00e9 Catholique de Louvain (ICTEAM), B\u00e9lgica, e na Universit\u00e9 de Lorraine (CRAN-CNRS), Fran\u00e7a. Entre 2023 e 2025, foi Ma\u00eetre de Conf\u00e9rences (Professor Associado) na CentraleSup\u00e9lec, junto ao Laboratoire des Signaux et Syst\u00e8mes (L2S), Fran\u00e7a. Posteriormente, foi bolsista do programa Conhecimento Brasil, voltado \u00e0 repatria\u00e7\u00e3o de pesquisadores brasileiros, antes de assumir o atual cargo de professor no ITA. Seus interesses de pesquisa atuais concentram-se no controle de sistemas h\u00edbridos e n\u00e3o lineares, com \u00eanfase no desenvolvimento de m\u00e9todos baseados na teoria de Lyapunov, m\u00e9todos formais e aplica\u00e7\u00f5es de ferramentas grafo-te\u00f3ricas \u00e0 an\u00e1lise de estabilidade e s\u00edntese de controladores via LMIs.<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Plen\u00e1rias Structure meets Data \u2013 System Representation for Trustworthy and Efficient Control Sandra Hirche Professor Technische\u00a0Universit\u00e4t M\u00fcnchen (TUM) 07\/10\/2026 Resumo: Data-driven models are increasingly employed to complement or replace first-principles models in modern control systems. Yet purely data-driven approaches often lack the guarantees on stability, safety, and generalization that control applications demand, and they typically […]<\/p>\n","protected":false},"author":24945,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-938","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.usp.br\/cba2026\/wp-json\/wp\/v2\/pages\/938","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.usp.br\/cba2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.usp.br\/cba2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.usp.br\/cba2026\/wp-json\/wp\/v2\/users\/24945"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.usp.br\/cba2026\/wp-json\/wp\/v2\/comments?post=938"}],"version-history":[{"count":4,"href":"https:\/\/sites.usp.br\/cba2026\/wp-json\/wp\/v2\/pages\/938\/revisions"}],"predecessor-version":[{"id":1176,"href":"https:\/\/sites.usp.br\/cba2026\/wp-json\/wp\/v2\/pages\/938\/revisions\/1176"}],"wp:attachment":[{"href":"https:\/\/sites.usp.br\/cba2026\/wp-json\/wp\/v2\/media?parent=938"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}