Institution
Polytechnic University of Milan
Education•Milan, Italy•
About: Polytechnic University of Milan is a education organization based out in Milan, Italy. It is known for research contribution in the topics: Finite element method & Population. The organization has 18231 authors who have published 58416 publications receiving 1229711 citations. The organization is also known as: PoliMi & L-NESS.
Topics: Finite element method, Population, Laser, Nonlinear system, Detector
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors define the notion of commons grabbing and report on an exploratory study that applied meta-analytical methods, drawing from the recent literature on large-scale land acquisitions and land grabbing.
206 citations
TL;DR: In this article, the Amplitude Mode Theory worked out for obtaining a unified interpretation of the vibrational spectra of Polyacetylene can be reformulated in a simpler and more complete way in terms of straightforward concepts of moleculare dynamics.
206 citations
TL;DR: In this article, the authors review the mathematical properties of the dominant Lyapunov exponent of a matrix sequence in the context of population biology and show that, despite the inability to compute the exponent analytically, which adds to its high intrinsic instability, important biological insights can nevertheless be achieved at the cost of fairly mild assumptions on the features of the models considered.
206 citations
TL;DR: The aim of this review is to critically discuss the latest advances in the development of thermo-responsive materials for biomedical applications, including a highly controlled drug delivery, mediation of cell growth and bioseparation, with a focus on the structural and design aspects that are required to exploit such materials for cutting-edge applications in the biomedical field.
205 citations
TL;DR: This paper presents a novel method to address a Proportional Integral observer design for the actuator and sensor faults estimation based on Takagi–Sugeno fuzzy model with unmeasurable premise variables by solving the proposed conditions under Linear Matrix Inequalities constraints.
Abstract: This paper presents a novel method to address a Proportional Integral observer design for the actuator and sensor faults estimation based on Takagi–Sugeno fuzzy model with unmeasurable premise variables. The faults are assumed as time-varying signals whose kth time derivatives are bounded. Using Lyapunov stability theory and L2 performance analysis, sufficient design conditions are developed for simultaneous estimation of states and time-varying actuator and sensor faults. The Proportional Integral observer gains are computed by solving the proposed conditions under Linear Matrix Inequalities constraints. A simulation example is provided to illustrate the effectiveness of the proposed approach.
205 citations
Authors
Showing all 18743 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Alex J. Barker | 132 | 1273 | 84746 |
| Pierluigi Zotto | 128 | 1197 | 78259 |
| Andrea C. Ferrari | 126 | 636 | 124533 |
| Marco Dorigo | 105 | 657 | 91418 |
| Marcello Giroletti | 103 | 558 | 41565 |
| Luciano Gattinoni | 103 | 610 | 48055 |
| Luca Benini | 101 | 1453 | 47862 |
| Alberto Sangiovanni-Vincentelli | 99 | 934 | 45201 |
| Surendra P. Shah | 99 | 710 | 32832 |
| X. Sunney Xie | 98 | 225 | 44104 |
| Peter Nijkamp | 97 | 2407 | 50826 |
| Nicola Neri | 92 | 1122 | 41986 |
| Ursula Keller | 92 | 934 | 33229 |
| A. Rizzi | 91 | 653 | 40038 |
| Martin J. Blunt | 89 | 485 | 29225 |