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Bio-inspired standing balance controller for a full-mobilization exoskeleton

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On Gaussian Process Based Koopman Operators

Enabling analysis of non-linear systems in linear form, the Koopman operator has been shown to be a powerful tool for system identification and controller design. However, current data-driven methods cannot provide quantification of model uncertainty given ...

ELSEVIER2020

Jacket for embodied interaction with virtual or distal robotic device

David Atienza Alonso, Dario Floreano, Stefano Mintchev, Fabio Isidoro Tiberio Dell'Agnola, Carine Rognon, Alice Ghislaine Concordel

A system for interacting with a remote object comprising a wearable jacket for a user, two actuators for supporting arms of the user, motors for causing movements to at least one of a torso and the arms of the user, and sensors for measuring at least one o ...

2018

Reliability Mechanisms for Controllers in Real-Time Cyber-Physical Systems

Maaz Mashood Mohiuddin

Cyber-physical systems (CPSs) are real-world processes that are controlled by computer algorithms. We consider CPSs where a centralized, software-based controller maintains the process in a desired state by exchanging measurements and setpoints with proces ...

EPFL2018

A Data-Driven Frequency-Domain Approach for Robust Controller Design via Convex Optimization

Achille Nicoletti

The objective of this dissertation is to develop data-driven frequency-domain methods for designing robust controllers through the use of convex optimization algorithms. Many of today's industrial processes are becoming more complex, and modeling accurate ...

EPFL2018

Frequency-Domain Control Design in Power Systems

Christoph Manuel Kammer

The scope of this thesis encompasses two main subjects: fixed-structure data-driven control design on one side, and control design in power systems on the other. The overall goal is to identify challenging and relevant problems in power systems, to express ...

EPFL2018

Robust Controller Design For Linear Systems With Nonlinear Distortions: A Data-Driven Approach

Alireza Karimi, Achille Nicoletti

The extensive use of frequency-domain tools for analyzing and controlling linear systems have become indispensable for the control systems engineer. However, due to the increased performance demands on today's industrial systems, the effects of certain non ...

Elsevier2018

A Root-Locus Design Methodology Derived From the Impedance/Admittance Stability Formulation and Its Application for LCL Grid-Connected Converters in Wind Turbines

Francisco Daniel Freijedo Fernández, Enrique Rodriguez Diaz

This paper presents a systematic methodology for the design and the tuning of the current controller in LCL grid-connected converters for wind turbine applications. The design target is formulated as a minimization of the current loop dominant time constan ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Profile control simulations and experiments on TCV: a controller test environment and results using a model-based predictive controller

Olivier Sauter, Timothy Goodman, Jean-Marc Moret, Federico Alberto Alfredo Felici, Antoine Pierre Emmanuel Alexis Merle, Cristian Galperti, Mengdi Kong, Francesco Carpanese, Sun Hee Kim, Doohyun Kim

The successful performance of a model predictive profile controller is demonstrated in simulations and experiments on the TCV tokamak, employing a profile controller test environment. Stable high-performance tokamak operation in hybrid and advanced plasma ...

IOP Publishing Ltd2017

An Adaptive Neuromuscular Controller for Assistive Lower-Limb Exoskeletons: A Preliminary Study on Subjects with Spinal Cord Injury

Auke Ijspeert, Florin Dzeladini, Amy Roning Wu, Tycho Jan Henricus Brug

Versatility is important for a wearable exoskeleton controller to be responsive to both the user and the environment. These characteristics are especially important for subjects with spinal cord injury (SCI), where active recruitment of their own neuromusc ...

Frontiers Research Foundation2017

Technical Report: Control of Nonlinear Systems with Explicit-MPC-like Controllers

Colin Neil Jones, Milan Korda, Ivan Pejcic

This paper describes synthesis of controllers involving Quadratic Programming (QP) optimization problems for control of nonlinear systems. The QP structure allows an implementation of the controller as a piecewise affine function, pre-computed offline, whi ...

2017

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A Root-Locus Design Methodology Derived From the Impedance/Admittance Stability Formulation and Its Application for LCL Grid-Connected Converters in Wind Turbines

Francisco Daniel Freijedo Fernández, Enrique Rodriguez Diaz

Ieee-Inst Electrical Electronics Engineers Inc2017

Profile control simulations and experiments on TCV: a controller test environment and results using a model-based predictive controller

Olivier Sauter, Timothy Goodman, Jean-Marc Moret, Federico Alberto Alfredo Felici, Antoine Pierre Emmanuel Alexis Merle, Cristian Galperti, Mengdi Kong, Francesco Carpanese, Sun Hee Kim, Doohyun Kim

IOP Publishing Ltd2017

Robust Controller Design For Linear Systems With Nonlinear Distortions: A Data-Driven Approach

Alireza Karimi, Achille Nicoletti

Elsevier2018

An Adaptive Neuromuscular Controller for Assistive Lower-Limb Exoskeletons: A Preliminary Study on Subjects with Spinal Cord Injury

Auke Ijspeert, Florin Dzeladini, Amy Roning Wu, Tycho Jan Henricus Brug

Frontiers Research Foundation2017

Technical Report: Control of Nonlinear Systems with Explicit-MPC-like Controllers

Colin Neil Jones, Milan Korda, Ivan Pejcic

2017