Marco Tulio Angulo

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	전체	2020년 이후
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Jaime A. MorenoUniversidad Nacional Autónoma de México, Instituto de Ingenieriaii.unam.mx의 이메일 확인됨
Leonid FridmanProfessor of Control, National Autonomous University of Mexico(UNAM)unam.mx의 이메일 확인됨
Yang-Yu LiuAssociate Professor, Harvard Medical School; Associate Scientist, Brigham and Women’s Hospitalchanning.harvard.edu의 이메일 확인됨
Claude Moogieee.org의 이메일 확인됨
Scott T. WeissProfessor of Medicine, Harvard Medical Schoolchanning.harvard.edu의 이메일 확인됨
Jorge X. Velasco-HernandezInstituto de Matematicas UNAM-Juriquillaim.unam.mx의 이메일 확인됨
Yandong XiaoNational University of Defense Technologynudt.edu.cn의 이메일 확인됨
Arie LevantProfessor of Mathematics, Tel-Aviv Universitytauex.tau.ac.il의 이메일 확인됨
Matthew WaldorProfessor of Medicine, Harvard Universityresearch.bwh.harvard.edu의 이메일 확인됨
Albert-László BarabásiNortheastern University, Harvard Medical Schoolneu.edu의 이메일 확인됨
Andrea AparicioHarvard Medical School and Channing Division of Network Medicine, Brigham and Women’s Hospitalchanning.harvard.edu의 이메일 확인됨
Gabor P LippnerAssociate Professor, Northeastern Universitynortheastern.edu의 이메일 확인됨
Jonathan FriedmanAssociate Professor, Hebrew University of Jerusalemmail.huji.ac.il의 이메일 확인됨
David Gómez-GutiérrezIntel Labs, Intel Corporationtec.mx의 이메일 확인됨
Rodrigo Aldana-LópezUniversidad de Zaragozaunizar.es의 이메일 확인됨
Xu-Wen WangInstructor, Harvard Medical School; Associate Scientist, Brigham and Women's Hospitalchanning.harvard.edu의 이메일 확인됨
Sebastián Michel-MataPh.D. Student, Princeton Univeristyprinceton.edu의 이메일 확인됨
Fernando CastañosCinvestav-IPNcinvestav.mx의 이메일 확인됨
Jean-Jacques SlotineMIT, Professor of Mechanical Engineering and Information Sciences, Professor of Brain Sciencesmit.edu의 이메일 확인됨
Michael DefoortProfessor, Department of Automatic Control, INSA HdF, University of Valenciennes, LAMIH UMR CNRSuphf.fr의 이메일 확인됨

팔로우

Marco Tulio Angulo

Institute of Mathematics, UNAM

im.unam.mx의 이메일 확인됨 - 홈페이지

Nonlinear Systems Networks Complex Systems


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
Robust exact uniformly convergent arbitrary order differentiator MT Angulo, JA Moreno, L Fridman Automatica 49 (8), 2489-2495, 2013	282	2013
Mapping the ecological networks of microbial communities Y Xiao, MT Angulo, J Friedman, MK Waldor, ST Weiss, YY Liu Nature communications 8 (1), 2042, 2017	184	2017
A theoretical framework for controlling complex microbial communities MT Angulo, CH Moog, YY Liu Nature communications 10 (1), 1045, 2019	94	2019
Fundamental limitations of network reconstruction from temporal data MT Angulo, JA Moreno, G Lippner, AL Barabási, YY Liu Journal of the Royal Society Interface 14 (127), 20160966, 2017	91	2017
An ecological framework to understand the efficacy of fecal microbiota transplantation Y Xiao, MT Angulo, S Lao, ST Weiss, YY Liu Nature communications 11 (1), 3329, 2020	83	2020
Design of a prescribed convergence time uniform robust exact observer in the presence of measurement noise L Fraguela, MT Angulo, JA Moreno, L Fridman 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 6615-6620, 2012	59	2012
Output-feedback finite-time stabilization of disturbed LTI systems MT Angulo, L Fridman, A Levant Automatica 48 (4), 606-611, 2012	57	2012
Output-feedback finite-time stabilization of disturbed feedback linearizable nonlinear systems MT Angulo, L Fridman, JA Moreno Automatica 49 (9), 2767-2773, 2013	44	2013
Structural accessibility and structural observability of nonlinear networked systems MT Angulo, A Aparicio, CH Moog IEEE Transactions on Network Science and Engineering 7 (3), 1656-1666, 2019	43	2019
A simple criterion to design optimal non-pharmaceutical interventions for mitigating epidemic outbreaks MT Angulo, F Castaños, R Moreno-Morton, JX Velasco-Hernández, ... Journal of the Royal Society Interface 18 (178), 20200803, 2021	42*	2021
The differentiation error of noisy signals using the generalized super-twisting differentiator MT Angulo, JA Moreno, L Fridman 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 7383-7388, 2012	42	2012
Robust exact finite-time output based control using high-order sliding modes MT Angulo, L Fridman, A Levant International Journal of Systems Science 42 (11), 1847-1857, 2011	37	2011
Revealing complex ecological dynamics via symbolic regression Y Chen, MT Angulo, YY Liu BioEssays 41 (12), 1900069, 2019	35	2019
A redesign methodology generating predefined‐time differentiators with bounded time‐varying gains R Aldana‐López, R Seeber, D Gómez‐Gutiérrez, MT Angulo, M Defoort International Journal of Robust and Nonlinear Control 33 (15), 9050-9065, 2023	33	2023
Predicting microbiome compositions from species assemblages through deep learning S Michel‐Mata, XW Wang, YY Liu, MT Angulo imeta 1 (1), e3, 2022	33	2022
Identifying keystone species in microbial communities using deep learning XW Wang, Z Sun, H Jia, S Michel-Mata, MT Angulo, L Dai, X He, ST Weiss, ... Nature Ecology & Evolution 8 (1), 22-31, 2024	29	2024
Coexistence holes characterize the assembly and disassembly of multispecies systems MT Angulo, A Kelley, L Montejano, C Song, S Saavedra Nature Ecology & Evolution, 1-11, 2021	28	2021
Estimating rotor parameters in induction motors using high‐order sliding mode algorithms MT Angulo, RV Carrillo‐Serrano IET Control Theory & Applications 9 (4), 573-578, 2015	27	2015
Generalizing game-changing species across microbial communities J Deng, MT Angulo, S Saavedra ISME communications 1 (1), 22, 2021	23	2021
Network motifs emerge from interconnections that favour stability MT Angulo, YY Liu, JJ Slotine Nature Physics 11 (10), 848-852, 2015	23	2015

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