Concept

Closed-loop controller

Related publications (322)

On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers

We consider the problem of designing a stabilizing and optimal static controller with a pre-specified sparsity pattern. Since this problem is NP-hard in general, it is necessary to resort to approximation approaches. In this paper, we characterize a class ...

IEEE2019

Recurrent Neural Network based MPC for Process Industries

Colin Neil Jones

Autonomous operation of industrial plants requires a cheap and efficient way of creating dynamic process models, which can then be used to either be part of the autonomous systems or to serve as simulators for reinforcement learning. The trends of digitali ...

IEEE2019

Low-Complexity Optimization-Based Control: Design, Methods and Applications

Ivan Pejcic

Optimization-based controllers are advanced control systems whose mechanism of determining control inputs requires the solution of a mathematical optimization problem. In this thesis, several contributions related to the computational effort required for o ...

EPFL2019

Design of Magnetic Bearing Control System Based on Active Disturbance Rejection Theory

Yuanping Xu

At present, most of the magnetic bearing system adopts the classical proportional-integral-derivative (PID) control strategy. However, the external disturbances, system parameter perturbations, and many other uncertain disturbances result in PID controller ...

2019

Closed-Loop Haptic Feedback Control Using a Self-Sensing Soft Pneumatic Actuator Skin

Stéphanie Lacour, Jamie Paik, Harshal Arun Sonar, Aaron Powers Gerratt

In this article, we achieve a closed-loop control over haptic feedback, first time for an entirely soft platform. We prototyped a novel self-sensing soft pneumatic actuator (SPA) with soft strain sensors, called SPA-skin, which withstands large multiaxial ...

2019

An Event-Driven Closed-Loop System for Real-Time FES Control

Silvestro Micera, Andrea Crema, Danilo Demarchi

Active functional rehabilitation procedures, exoskeleton application and prosthesis employment are essential tools for the society life reinstatement of subjects affected by neuromuscular disorders or victims of serious physical accident. In this paper we ...

IEEE2019

Robust control of systems with sector nonlinearities via convex optimization: A data-driven approach

Alireza Karimi, Achille Nicoletti

In this paper, a new data-driven method for designing robust controllers is proposed for systemswith sector-bounded nonlinearities and multimodel uncertainties. The results from the circle criterion are used to generate necessary and sufficient convex cons ...

WILEY2019

A Dual-Edge Pulsewidth Modulator for Fast Dynamic Response DC-DC Converters

Maher Kayal, Adil Koukab, Giacomo Ripamonti, Stefano Michelis, Federico Faccio

Voltage regulator modules are dc-dc converters that power modern microprocessors. They must exhibit a fast dynamic response, in order to achieve satisfactory regulation performance in spite of the rapid load current variations. The pulsewidth modulator is ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Large‐Range HS‐AFM Imaging of DNA Self‐Assembly through In Situ Data‐Driven Control

Alireza Karimi, Georg Fantner, Maartje Martina Cornelia Bastings, Adrian Pascal Nievergelt, Christoph Manuel Kammer, Eva Eugene Kurisinkal, Charlène Cécile Geneviève Brillard

Understanding hierarchical self-assembly of biological structures requires real time measurement of the self-assembly process over a broad range of length- and timescales. The success of high-speed atomic force microscopy (HS-AFM) in imaging small scale mo ...

2019

Decoding Neural Metabolic Markers From the Carotid Sinus Nerve in a Type 2 Diabetes Model

Silvestro Micera

Recent studies showed that the carotid sinus nerve (CSN) and the sympathetic nervous system (SNS) are overactivated in type 2 diabetes and that restoring the correct CSN neural activity can re-establish the proper metabolism. However, a robust characteriza ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

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