Enhanced feedback performance in off-resonance AFM modes through pulse train sampling

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The transition to sustainable energy demands a fundamental redesign of the electrical grid, especially at the distribution level. With the increasing deployment of distributed energy resources, the development of reliable models, accurate state estimation ...

The Bio Image and Signal Processing (BISP) Technical Committee (TC) of the IEEE Signal Processing Society (SPS) promotes activities within the broad technical field of biomedical image and signal processing. Areas of interest include medical and biological ...

Photovoltaic parks often utilize communication among the different converters to ensure accurate PCC voltage control and disturbance rejection. However, time delays in the communication network can affect the control performance and stability, and need to ...

Herein we report a multi-zone, heating, ventilation and air-conditioning (HVAC) control case study of an industrial plant responsible for cooling a hospital surgery center. The adopted approach to guaranteeing thermal comfort and reducing electrical energy ...

This thesis investigates the magnetic properties of single atoms and dimers adsorbed on graphene and oxide decoupling layers supported by single crystal metal substrates, using scanning tunneling microscopy (STM) and spin-polarized scanning tunneling micro ...

In the context of learning from demonstration (LfD), trajectory policy representations such as probabilistic movement primitives (ProMPs) allow for rich modeling of demonstrated skills. To reproduce a learned skill with a real robot, a feedback controller ...

This letter presents closed-loop position control of a pneumatically actuated modular robotic platform "pneumagami" that can be stacked to enlarge work and design space for wearable applications. The module is a 3 degrees of freedom (DoF) parallel robot wi ...

In this paper, we propose a novel framework capable of generating various walking and running gaits for bipedal robots. The main goal is to relax the fixed center of mass (CoM) height assumption of the linear inverted pendulum model (LIPM) and generate a w ...

This thesis presents a combined experimental and theoretical study of the classical and quantum magnetization dynamics in single magnetic adatoms and molecules, and on the classical and quantum coherent control thereof. First, a detailed description of t ...

In this article, we present an X-ray tomographic imaging method that is well suited for pulmonary disease studies in animal models to resolve the full pathway from gas intake to gas exchange. Current state-of-the-art synchrotron-based tomographic phase-con ...

Despite extensive research efforts in the field of laser welding, the imperfect repeatability of the weld quality still represents an open topic. Indeed, the inherent complexity of the underlying physical phenomena prevents the implementation of an effecti ...

Absorbing airborne noise at frequencies below 300 Hz is a particularly vexing problem due to the absence of natural sound absorbing materials at these frequencies. The prevailing solution for low-frequency sound absorption is the use of passive narrow-band ...

Optical microscopy is one widely used tool to study cell functions and the interaction of molecules at a sub-cellular level. Optical microscopy techniques can be broadly divided into two categories: partially coherent and incoherent. Coherent microscopy te ...

The Voltammetry-Based Sensing (VBS) methods are extremely interesting due to high specificity in several biochemical applications. Several considerations can be applied to use this method to measure different analytes, and implement efficient and optimized ...

The recent advancements in electrochemical measurements are guiding the development of new platforms for in situ point-of-care monitoring of human-metabolite, markers, and drugs. Despite this, the application of voltammetry-based sensing (VBS) techniques i ...

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 ...

We study the band gap of finite NA=7 armchair graphene nanoribbons (7-AGNRs) on Au(111) through scanning tunneling microscopy/spectroscopy combined with density functional theory calculations. The band gap of 7-AGNRs with lengths of 8 nm and more is conver ...

Enhanced feedback performance in off-resonance AFM modes through pulse train sampling

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Estimation and control under uncertainty with application to power systems

From Nano to Macro An overview of the IEEE Bio Image and Signal Processing Technical Committee

Impact of Communication Delays on Voltage Control Accuracy and Stability of a PV Park

Experimental data-driven model predictive control of a hospital HVAC system during regular use

Magnetic Properties of Surface Adsorbed Metal Adatoms and Dimers

Probabilistic Adaptive Control for Robust Behavior Imitation

Closed-Loop Position Control of a Self-Sensing 3-DoF Origami Module With Pneumatic Actuators

A unified framework for walking and running of bipedal robots

Quantum dynamics in individual surface spins

Micrometer-resolution X-ray tomographic full-volume reconstruction of an intact post-mortem juvenile rat lung

Adaptive Laser Welding Control: A Reinforcement Learning Approach

Improving sound absorption through nonlinear active electroacoustic resonators

Development of novel experimental and computational methods for three-dimensional coherent and super-resolution microscopy

Supplementary Material for "Optimized Sampling Rate for Voltammetry-Based Electrochemical Sensing in Wearable and IoT Applications"

Optimized Sampling Rate for Voltammetry-Based Electrochemical Sensing in Wearable and IoT Applications

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

Band Gap of Atomically Precise Graphene Nanoribbons as a Function of Ribbon Length and Termination