cv
Basics
Name | Hugo Kussaba |
Label | Researcher and software developer |
hugo.kussaba@tum.de | |
Url | https://htadashi.github.io/ |
Summary | Software developer and researcher with a great ability to keep up to date on the latest developments in research and the tech industry. Skilled in programming languages C, Python, Javascript/Typescript, Solidity, MATLAB/Octave, and Mathematica. Strong formal education with a Ph.D. on Robotics, and Automation Engineering from Universidade de Brasília. Research interests include optimization, control theory, Ethereum smart contracts and machine learning. |
Work
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2024.02 - 2024.06 Munich, Bavaria, Germany
Researcher Associate
Munich Institute of Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich
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2022.02 - 2024.02 Munich, Bavaria, Germany
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2021.09 - 2021.12 Brazil
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2021.08 - 2022.02 United States
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2020.06 - 2021.08 Berlin, Germany
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2019.01 - 2019.12 Brasília Area, Brazil
Fixed-term Lecturer
Universidade de Brasília
Taught classes of Automatic Process Control, Instrumentation of Automatic Process Control, Laboratory of Automatic Process Control, and State-Space Control Theory.
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2018.05 - 2021.09 Brazil
Volunteer
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2021.04 - 2022.03 Content Writer
Byte Papo
Researched and wrote bibliographies of historical computer scientists for the "Uma Byta História" section of Byte Papo podcast.
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2020.04 - 2020.05 -
2017.07 - Present Editor
Wikipedia, the Free Encyclopedia
Created and improved several articles on control theory and mathematics. My contributions can be seen at https://en.wikipedia.org/w/index.php?title=Special:Contributions/Saung_Tadashi
Education
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2015.12 - 2018.12 Doctor of Philosophy - PhD
Universidade de Brasília
Mechatronics, Robotics, and Automation Engineering
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2012.12 - 2014.12 -
2006.12 - 2011.12
Certificates
Open Source Tools for Data Science | ||
Coursera |
Open Source tools for Data Science | ||
Coursera |
Data Science Orientation | ||
Coursera |
What is Data Science? | ||
Coursera |
Deep Learning Specialization | ||
Coursera |
Sequence Models | ||
Coursera |
Convolutional Neural Networks | ||
Coursera |
Neural Networks and Deep Learning | ||
Coursera |
Publications
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2017.12.31 Hybrid Kinematic Control for Rigid Body Pose Stabilization using Dual Quaternions
Journal of the Franklin Institute
In this paper, we address the rigid body pose stabilization problem using dual quaternion formalism. We propose a hybrid control strategy to design a switching control law with hysteresis in such a way that the global asymptotic stability of the closed-loop system is guaranteed and such that the global attractivity of the stabilization pose does not exhibit chattering, a problem that is present in all discontinuous-based feedback controllers. Using numerical simulations, we illustrate the problems that arise from existing results in the literature—as unwinding and chattering—and verify the effectiveness of the proposed controller to solve the robust global pose stability problem.
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2017.12.31 Dual quaternion-based bimodal global control for robust rigid body pose kinematic stabilization
Proceedings of 2017 American Control Conference
A hybrid bimodal controller for rigid body pose stabilization within the group of unit norm dual-quaternions is proposed in this paper. Using two binary logic state variables, this hysteresis-based controller represents a middle term solution between the memoryless discontinuous controller and the fixed-width hysteretic one. The proposed strategy is novel within the dual-quaternions framework and addresses three common difficulties that appears in the literature of pose and attitude stabilization: global stability, robustness against chattering and against unwinding. The efficacy and performance of the proposed controller are illustrated with numerical examples.
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2017.08.31 Existence of Continuous or Constant Finsler's Variables for Parameter-Dependent Systems
IEEE Transactions on Automatic Control
Finsler's lemma is a classic mathematical result with applications in control and optimization. When the lemma is applied to parameter-dependent LMIs, as such those that arise from problems of robust stability, the extra variables introduced by this lemma also become dependent on this parameter. This technical note presents some sufficient conditions which ensure, without losing generality, that these extra variables can assume a simple functional dependence on the parameters as continuity or even independence. The results allow avoiding an unnecessary use of a more functionally complicated parameter-dependent variable that increases the search computational burden without reducing the conservatism of the solution.
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2016.12.31 Parameter-Dependent Filter with Finite Time Boundedness Property for Continuous-Time LPV Systems
Proceedings of XVII Latin American Conference on Automatic Control
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2015.12.31 Uniform versions of Finsler's lemma
Proceedings of the 54th IEEE Conference on Decision and Control
Finsler's lemma and its variants are used extensively in control and optimization literature. Although there are several variants of this lemma, it can be summarized as an equivalence of a quadratic inequality with a linear constraint to a linear matrix inequality (LMI) with possibly more extra variables than the original problem. When applying Finsler's lemma to problems that depends of a parameter, the extra variables stemming from the use of Finsler's lemma can also be dependent of this parameter. In this paper it is investigated when these extra variables can assume a simple structure without loss of generality and some sufficient conditions that guarantees this assumption are given. These sufficient conditions can be applied when investigating parameter dependent LMIs that emerge, for instance, when dealing with the robust stability of systems with polytopic uncertainty.
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2015.12.31 Projeto EDUBOT
Anais da V Mostra Nacional de Robótica
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2015.12.31 Finite time boundedness and stability analysis of discrete time uncertain systems
Proceedings of the 54th IEEE Conference on Decision and Control
In this paper the problems of finite time boundedness and stability of uncertain systems in discrete-time are addressed. By using the Finsler lemma, novel parameter dependent linear matrix inequalities analysis conditions are designed. These conditions can be efficiently solved using a homogeneous polynomial relaxation procedure and readily available numerical solvers. In the numerical examples section, it is shown that the proposed finite time conditions are less conservative than others linear matrix inequality based conditions proposed in the literature.
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2015.12.31 A new condition for finite time boundedness analysis
Journal of the Franklin Institute
In this paper, a new condition for finite time boundedness analysis is presented. Firstly, a brief discussion of the available conditions found in the literature and comparisons between them regarding computational efficiency and conservatism are presented. Then, a new condition expressed in terms of linear matrix inequalities (LMIs) is derived using Finsler׳s lemma. The proposed condition is proved to be less conservative than LMI conditions previously presented in the literature, and its efficiency is illustrated with numerical examples.
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2013.12.31 Homogeneous polynomially parameter-dependent state feedback controllers for finite time stabilization of linear time-varying systems
Proceedings of the 2013 European Control Conference
This paper investigates the problem of parameter-dependent state feedback control of continuous-time systems in the context of finite time stability. The controller is designed in order to guarantee that the closed-loop system is finite time stable. The system is considered time varying with the parameters modeled within a unit simplex. The design conditions obtained by means of Lyapunov functions are expressed as linear matrix inequalities. The finite time stability is assessed by using homogeneous polynomially parameter-dependent state feedback gains with arbitrary degree g. LMI relaxations are proposed based on Pólya's theorem. A controller is obtained by the solution of a factibility problem and the effect of the relaxation procedures analyzed by an optimization problem. Numerical examples are provided.
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2013.12.31 Finite time robust filtering for time-varying uncertain polytopic linear systems
Proceedings of the 2013 European Control Conference
In this paper, the problem of robust filter design for uncertain continuous-time systems is investigated in the context of finite time stability. The filter is obtained in order to guarantee that the augmented system is finite time stable. The system is considered time varying with the parameters modeled by a polytope. The design conditions obtained by means of Lyapunov functions are expressed as linear matrix inequalities. A complete order filter is obtained by the solution of a factibility problem. A numerical example is provided.
Skills
Cyber-Physical Systems |
University Teaching |
Robotics |
Control Engineering |
Python |
Ethereum |
Bash |
Neural Networks |
Optimization |
Simulink |
TypeScript |
Data Science |
MATLAB |
Reinforcement Learning |
NumPy |
Artificial Intelligence (AI) |
Google Apps Script |
TensorFlow |
Machine Learning |
Screw theory |
C (Programming Language) |
Software Development |
JavaScript |
Riemannian Geometry |
linux |
Mechatronics |
Process Control |
Teaching |
Automation |
Applied Mathematics |
Blockchain |
Research |
Education |
Git |
Deep Learning |
Lie groups |
R |
SQL |
Mathematical Analysis |
Python (Programming Language) |
REST APIs |
LaTeX |
Mathematical Modeling |
Lecturing |
Smart Contracts |
Engineering |
Mathematics |
Programming |
Languages
English | |
Professional Working |
Japanese | |
Elementary |
Portuguese | |
Native Speaker |
References
Nick Dijkstra | |
We worked with Hugo on a software development project to prototype and test our hypothesis. Despite our timezone challenges, he was available when we needed him and worked hard to make our solution work. His work ethic was outstanding and no task seemed too daunting. I'm looking forward working with Hugo more in the future. |
Sato Tajima | |
I am very lucky to have met Hugo while it is never easy to find the right person through www. We asked him to develop a listing tool on Google Spread Sheet for our E-commerce business. He is always ready to answer to my questions, realise what we want (putting my vague concept into visible shape) and even propose us his ideas and solutions to improve the result. I also appreciate it how he shows respect and cares about our culture that made me also want to do my best to prepare a comfortable environment to work in for him. Very precise and sophisticated work and a little bit of sense of humour, I learn a lot from him every day. I can recommend confidently that Hugo is the right person to have in your team if you seek better solutions on tools that help your business (in many ways!) |