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Modeling and Iterative Learning control of a Circular Deformable Mirror

IFAC-PapersOnLine 2017年第1期50卷 3117-3122页

作者： Cichy B. Augusta P. Gałkowski K. Rauh A. Aschemann H. Rogers E. Rehák B. Institute of Control and Computation Engineering University of Zielona Góra ul. Szafrana 2 Zielona Góra 65-516 Poland Institute of Information Theory and Automation The Czech Academy of Sciences Pod Vod´arenskou věží 4 Prague CZ-182 08 Czech Republic Chair of Mechatronics University of Rostock Justus-von-Liebig-Weg 6 Rostock D-18059 Germany Department of Electronics and Computer Science University of Southampton Southampton SO17 1BJ United Kingdom

An unconditionally stable finite difference scheme for systems whose dynamics are described by a fourth-order partial differential equation is developed using a regular hexagonal grid. The scheme is motivated by the well-known Crank-Nicolson discretization that was originally developed for second-order systems and it is used in this paper to develop a discrete in time and space model of a deformable mirror as a basis for control law design. As one example, the resulting model is used for iterative learning control law design and supporting numerical simulations are given. © 2017

关键词： control of partial differential equations Iterative learning control Linear systems N-dimensional systems Stability of distributed parameter systems

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A coupled DEs model for localized disturbances in tropical forests

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AIP Conference Proceedings 2018年第1期1978卷

作者： Alessandra Jannelli Marianna Ruggieri Maria Paola Speciale Roberto Cazzolla Gatti Giuseppina Messina A. I. Velichevskaya Bianca Maria Lombardo 1Department of Mathematical and Computer Sciences Physical Sciences and Earth Sciences University of Messina Messina Italy 2Faculty of Engineering and Architecture Kore University of Enna Enna Italy 3Biological Institute Tomsk State University Russian Federation 4Department of Biological Environmental and Geological Sciences M. La Greca Catania University Italy

Althought commercial selective logging is considered a sustainable practice, it creates gaps and disturbance into tropical forests that could alter the ecosystem dynamics. Weeds and vines grow to fill the empty space, following the arrival of the light. This invasion alter significantly the forest in the surroundings of the cut. Here we propose a mathematical model to describe the behaviour of tropical rainforest subject to selective logging. As a preliminary result, we show the solution profile of the model and its behaviour in simulated examples.

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Context-aware spoken language understanding for human robot interaction 3

Context-aware spoken language understanding for human robot ...

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3rd Italian Conference on Computational Linguistics, CLiC-it 2016 and 5th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian, EVALITA 2016

作者： Vanzo, Andrea Croce, Danilo Basili, Roberto Nardi, Daniele Department of Computer Control and Management Engineering Antonio Ruberti Sapienza University of Rome Via Ariosto 25 Roma00185 Italy Tor Vergata Department of Enterprise Engineering University of Roma Via del Politecnico 1 Roma00133 Italy

Robots operate in specific environments and the correct interpretation of linguistic interactions depends on physical, cognitive and language-dependent aspects triggered by the environment. In this work, we present LU4R - adaptive spoken Language Understanding 4 Robots, a Spoken Language Understanding chain for the semantic interpretation of robotic commands, that is sensitive to the operational environment. The system has been designed according to a Client/Server architecture in order to be easily integrated with the vast plethora of robotic platforms.

关键词： Human robot interaction

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How gestures affect students: A comparative experiment using class presentations conducted by an anthropomorphic agent

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AIP Conference Proceedings 2017年第1期1863卷

作者： Tomohiro Shirakawa Hiroshi Sato Tomoya Imao 1Department of Computer Science School of Electrical and Computer Engineering National Defense Academy of Japan 1-10-20 Hashirimizu Yokosuka Kanagawa 239-8686 Japan

Recently, a variety of user interfaces have been developed based on human–robot and human–agent interaction, and anthropomorphic agents are used as one type of interface. However, the use of anthropomorphic agents is applied mainly to the medical and cognitive sciences, and there are few studies of their application to other fields. Therefore, we used an anthropomorphic agent of MMD in a virtual lecture to analyze the effect of gestures on students and search for ways to apply anthropomorphic agents to the field of educational technology.

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Application of human cognitive mechanisms to Naïve Bayes text classifier

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AIP Conference Proceedings 2017年第1期1863卷

作者： Hidetaka Taniguchi Hiroshi Sato Tomohiro Shirakawa 1Department of Computer Science School of Electrical and Computer Engineering National Defense Academy of Japan 1-10-20 Hashirimizu Yokosuka Kanagawa 239-8686 Japan

Machine learning is a widely researched topic, and its use is rapidly becoming widespread. In most cases, however,machine learning algorithms require considerable time andlarge quantities ofsample data, and its implementationrequires much effort. In contrast, humanscan generalize conceptsfromonly a small number of examples. Some researchers are attempting to implement this ability into machine learning models. In this paper, we develop two machine learning models based on human cognitive biases, therebyachievingbetter performance in comparison withother representativemachine learning models.

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Evidence of gate-tunable mott insulator in trilayer graphene-boron nitride moiré superlattice

arXiv

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arXiv 2018年

作者： Chen, Guorui Jiang, Lili Wu, Shuang Lv, Bosai Li, Hongyuan Chittari, Bheema Lingam Watanabe, Kenji Takashi Taniguchi Shi, Zhiwen Jung, Jeil Zhang, Yuanbo Wang, Feng Department of Physics University of California at Berkeley BerkeleyCA United States State Key Laboratory of Surface Physics Department of Physics Fudan University Shanghai200433 China Materials Science Division Lawrence Berkeley National Laboratory BerkeleyCA United States Key Laboratory of Artificial Structures and Quantum Control Ministry of Education School of Physics and Astronomy Shanghai Jiao Tong University Shanghai China Department of Electrical Engineering and Computer Sciences University of California BerkeleyCA94720 United States Collaborative Innovation Center of Advanced Microstructures Nanjing China National Institute for Materials Science 1-1 Namiki Tsukuba305-0044 Japan Department of Physics University of Seoul Seoul02504 Korea Republic of Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai200433 China Kavli Energy NanoSciences Institute University of California Berkeley Lawrence Berkeley National Laboratory BerkeleyCA United States

Mott insulator plays a central role in strongly correlated physics, where the repulsive Coulomb interaction dominates over the electron kinetic energy and leads to insulating states with one electron occupying each unit cell.1,2 Doped Mott insulator is often described by the Hubbard model3, which can give rise to other correlated phenomena such as unusual magnetism and even high temperature superconductivity2,4. A tunable Mott insulator, where the competition between the Coulomb interaction and the kinetic energy can be varied in situ, can provide an invaluable model system for the study of Mott physics. Here we report the realization of such a tunable Mott insulator in the ABC trilayer graphene (TLG) and hexagonal boron nitride (hBN) heterostructure with a moiré superlattice. Unlike massless Dirac electrons in monolayer graphene5,6, electrons in pristine ABC TLG are characterized by quartic energy dispersion and large effective mass7-11 that are conducive for strongly correlated phenomena. The moiré superlattice12-18 in TLG/hBN heterostructures leads to narrow electronic minibands that are gatetunable. Each filled miniband contains 4 electrons in one moiré lattice site due to the spin and valley degeneracy of graphene. The Mott insulator states emerge at 1/4 and 1/2 fillings, corresponding to one electron and two electrons per site, respectively. Moreover, the Mott states in the ABC TLG/hBN heterostructure exhibit unprecedented tunability: The Mott gap can be modulated in situ by a vertical electrical field, and at the mean time the electron doping can be gate-tuned to fill the band from one Mott insulating state to another. Our observation of a tunable Mott insulator opens up exciting opportunities to explore novel strongly correlated phenomena in two-dimensional moiré superlattice heterostructures. Copyright © 2018, The Authors. All rights reserved.

关键词： Mott insulators

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Ultrasound shear wave simulation based on nonlinear wave propagation and Wigner-Ville Distribution analysis

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AIP Conference Proceedings 2017年第1期1821卷

作者： Pooya Sobhe Bidari Javad Alirezaie Jahan Tavakkoli 1Department of Electrical and Computer Engineering Ryerson University Toronto Canada 2Physics Department Ryerson University Toronto Canada

This paper presents a method for modeling and simulation of shear wave generation from a nonlinear Acoustic Radiation Force Impulse (ARFI) that is considered as a distributed force applied at the focal region of a HIFU transducer radiating in nonlinear regime. The shear wave propagation is simulated by solving the Navier’s equation from the distributed nonlinear ARFI as the source of the shear wave. Then, the Wigner-Ville Distribution (WVD) as a time-frequency analysis method is used to detect the shear wave at different local points in the region of interest. The WVD results in an estimation of the shear wave time of arrival, its mean frequency and local attenuation which can be utilized to estimate medium’s shear modulus and shear viscosity using the Voigt model.

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Selection of Decentralised control Structures: Structural Methodologies and Diagnostics

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IFAC-PapersOnLine 2016年第9期49卷 80-85页

作者： Karcanias, N. Leventides, J. Milonidis, E. Meintanis, I. Systems and Control Research Centre School of Mathematics Computer Science and Engineering City University London Northampton Square LondonEC1V 0HB United Kingdom University of Athens Department of Economics Section of Mathematics and Informatics Pezmazoglou 8 Athens Greece

The paper aims at formulating an integrated approach for the selection of decentralized control structures using a number of structural criteria aiming at facilitating the design of decentralised control schemes. This requires the selection of decentralisation structure that will allow the generic solvability of a variety of decentralised control problems, such as pole assignment by decentralised output feedback. The approach is based on the use of necessary and sufficient conditions for generic solvability and exact solvability of decentralised control problems. The generic solvability conditions lead to characterisations of inputs and outputs channel partitions. The exact solvability conditions use criteria on avoiding the presence of fixed modes, as well as necessary conditions for pole assignment, expressed in terms of properties of Plcker invariants and Markov type matrices. The structural approach provides a classification of desirable input and output partitions based on structural criteria and it is embedded in an overall framework that may involve aspects related to large scale design. © 2015

关键词： Decentralized control Algebra control theory Feedback Multivariable systems Poles Algebraic method Decentralised control Geometric method Linear multivariable systems Output feedback controls Structural methods

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System Degeneracy and the Output Feedback Problem: Parametrisation of the Family of Degenerate Compensators

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IFAC-PapersOnLine 2016年第9期49卷 68-73页

作者： Karcanias, N. Meintanis, I. Leventides, J. Systems and Control Research Centre School of Mathematics Computer Science and Engineering City University London Northampton Square LondonEC1V 0HB United Kingdom University of Athens Department of Economics Section of Mathematics and Informatics Pezmazoglou 8 Athens Greece

The paper provides a new characterisation of constant and dynamic degenerate compensators for proper multivariable systems. The motivation stems from the very important property that degenerate feedback gains may be used for the linearisation of the pole assignment map and enable frequency assignment. The objective is the characterisation and parametrisation of all feedback gains that may allow the asymptotic linearisation of the pole placement map. Such a parametrisation introduces new degrees of freedom for the linearisation of the related frequency assignment map and plays an important role to the solvability of the output feedback pole assignment problem. The paper reviews the Global Asymptotic Linearisation method associated with the core versions of determinantal pole assignment problems and defines the conditions which characterises degenerate solutions of different types. Using the theory of ordered minimal bases, we provide a parametrisation of special families of degenerate compensators according to their degree. Finally, the special properties of degenerate solutions that allow frequency assignment are considered. © 2015

关键词： Feedback Algebra Combinatorial optimization control theory Degrees of freedom (mechanics) Multivariable systems Poles Algebraic method Geometric method Linear multivariable systems Output feedback controls Pole assignment

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Robust baseline subtraction for ultrasonic full wavefield analysis

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AIP Conference Proceedings 2017年第1期1806卷

作者： K. Supreet Alguri Jennifer E. Michaels Joel B. Harley 1Department of Electrical and Computer Engineering University of Utah USA 3School of Electrical and Computer Engineering Georgia Institute of Technology USA 2Department of Mechanical Engineering University of Utah USA

Full wavefield analysis is used to study and characterize the interaction between waves and structural damage. Yet, as wavefields are measured and as damage evolves in a structure, environmental and operational variations can significantly affect wave propagation. Several approaches, including time-stretching and optimal baseline selection methods, can reduce variations, but these methods are often limited to specific effects, are ineffective for large environmental variations, or require an impractical number of prior baseline measurements. This paper presents a robust methodology for subtracting wavefields and isolating wave-damage interactions. The method is based on dictionary learning. It is robust to multiple types of environmental and operational variations and requires only one initial baseline. We learn the dictionary, which describes wave propagation for a particular wavefield, based on multiple frequencies of a baseline wavefield. We then use the dictionary and sparse regression to create new baselines for measurements with different environmental and operational conditions. The new baseline is then subtracted from the new wavefield to isolate damage wavefield.

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