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Publications associées (208)

Enforcing Model Adequacy in Real-Time Optimization via Dedicated Parameter Adaptation

Dominique Bonvin, Martand Singhal, Afaq Ahmad

Iterative real-time optimization schemes that employ modifier adaptation add bias and gradient correction terms to the model that is used for optimization. These affine corrections lead to meeting the first-order necessary conditions of optimality of the p ...

ELSEVIER SCIENCE BV2018

Input-Constrained Path Following for Autonomous Marine Vehicles with a Global Region of Attraction

Francisco Fernandes Castro Rego

This paper presents a solution to the problem of path following control for autonomous marine vehicles (AMVs) subject to input constraints and constant ocean current disturbances. We propose two nonlinear control strategies: the first is obtained by using ...

ELSEVIER SCIENCE BV2018

Adaptation strategies for tracking constraints under plant-model mismatch

Dominique Bonvin, Timm Faulwasser, Martand Singhal

Optimal operating conditions for a process plant are typically obtained via model based optimization. However, due to modeling errors, the operating conditions found are often sub-optimal or, worse, they can violate critical process constraints. Hence, mod ...

ELSEVIER SCIENCE BV2018

Risk assessment in a chemical plant with a CPN-HAZOP Tool

Damiano Nunzio Arena

In a previous research, a tool integrating the HAZOP analysis method and Coloured Petri Net formalism to support the analysis carried out by specialists during a HAZOP brainstorming session has been provided. In that work, the tool was used to simulate the ...

ELSEVIER SCIENCE BV2018

280 Birds with One Stone: Inducing Multilingual Taxonomies from Wikipedia Using Character-Level Classification

Karl Aberer, Rémi Philippe Lebret, Hamza Harkous, Amit Gupta

We propose a novel fully-automated approach towards inducing multilingual taxonomies fromWikipedia. Given an English taxonomy, our approach first leverages the interlanguage links of Wikipedia to automatically construct training datasets for the is-a relat ...

ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE2018

A Data-Driven Fixed-Structure Control Design Method with Application to a 2-DOF Gyroscope

Alireza Karimi, Christoph Manuel Kammer

This paper presents the practical aspects and application of a novel data-driven, fixed-structure, robust control design method. Only the frequency response data of the system is needed for the design, and no parametric model is required. The method can be ...

2018

A Data-Driven Fixed-Structure Control Design Method with Application to a 2-DOF Gyroscope

Alireza Karimi, Christoph Manuel Kammer

IEEE2018

A Data-Driven Fixed-Structure Control Design Method with Application to a 2-DOF Gyroscope

Alireza Karimi, Christoph Manuel Kammer

IEEE2018

Playdough to Roombots: Towards a Novel Tangible User Interface for Self-reconfigurable Modular Robots

Auke Ijspeert, Mehmet Hasan Mutlu, Simon Lukas Hauser, Alexandre Bernardino

One of the main strengths of self-reconfigurable modular robots (SRMR) is their ability to shape-shift and dynamically change their morphology. In the case of our SRMR system "Roombots", these shapes can be quite arbitrary for a great variety of tasks whil ...

IEEE COMPUTER SOC2018

Playdough to Roombots: Towards a Novel Tangible User Interface for Self-reconfigurable Modular Robots

Auke Ijspeert, Mehmet Hasan Mutlu, Simon Lukas Hauser, Alexandre Bernardino

One of the main strengths of self-reconfigurable modular robots (SRMR) is their ability to shape-shift and dynamically change their morphology. In the case of our SRMR system “Roombots”, these shapes can be quite arbitrary for a great variety of tasks whil ...

2018

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