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View article: INIS: A Family of ΔΣ Modulators With Inherent Spur Immunity When Interacting With a Static Nonlinearity
INIS: A Family of ΔΣ Modulators With Inherent Spur Immunity When Interacting With a Static Nonlinearity Open
View article: FPGA Implementation of Nonlinear Model Predictive Control for a Boost Converter with a Partially Saturating Inductor
FPGA Implementation of Nonlinear Model Predictive Control for a Boost Converter with a Partially Saturating Inductor Open
Enhancing power density is a primary objective in electronic power converters. This can be accomplished by employing smaller inductors operating in partial magnetic saturation. In this study, an embedded digital controller is proposed, bas…
View article: Modeling Amorphous-Core Inductors up to Magnetic Saturation
Modeling Amorphous-Core Inductors up to Magnetic Saturation Open
In power supplies, inductors operating in partial magnetic saturation are increasingly exploited, to increase power density and efficiency. The design and simulation of converters exploiting nonlinear magnetic components require accurate m…
View article: Modeling the Effect of Air-Gap Length and Number of Turns on Ferrite-Core Inductors Working up to Magnetic Saturation in a Buck Converter
Modeling the Effect of Air-Gap Length and Number of Turns on Ferrite-Core Inductors Working up to Magnetic Saturation in a Buck Converter Open
In this work, a nonlinear behavioral circuit model is proposed for air-gapped ferrite-core inductors working up to magnetic saturation. The model comprises a nonlinear conservative inductor, with current-dependent inductance, and two linea…
View article: Patterns of synchronized clusters in adaptive networks
Patterns of synchronized clusters in adaptive networks Open
View article: Bridging functional and anatomical neural connectivity through cluster synchronization
Bridging functional and anatomical neural connectivity through cluster synchronization Open
The dynamics of the brain results from the complex interplay of several neural populations and is affected by both the individual dynamics of these areas and their connection structure. Hence, a fundamental challenge is to derive models of…
View article: IEEE Circuits and Systems Society Information
IEEE Circuits and Systems Society Information Open
View article: IEEE Circuits and Systems Society Information
IEEE Circuits and Systems Society Information Open
View article: Use of a Partially Saturating Inductor in a Boost Converter with Model Predictive Control
Use of a Partially Saturating Inductor in a Boost Converter with Model Predictive Control Open
Increasing the power density in switched mode power supplies is one of the main goals in power electronics. This aim can be achieved by using smaller inductors operating at partial magnetic saturation. In this work, a partially saturating …
View article: Bridging functional and anatomical neural connectivity through cluster synchronization
Bridging functional and anatomical neural connectivity through cluster synchronization Open
The dynamics of the brain results from the complex interplay of several neural populations and is affected by both the individual dynamics of these areas and their connection structure. Hence, a fundamental challenge is to derive models of…
View article: IEEE Circuits and Systems Society Information
IEEE Circuits and Systems Society Information Open
View article: Nonlinear model predictive control of a buck converter with partially saturating inductor
Nonlinear model predictive control of a buck converter with partially saturating inductor Open
In this work, a nonlinear model predictive control is proposed for a DC-DC boost converter, with a partially-saturating ferrite-core inductor. A nonlinear behavioral inductor model is exploited, identified through experimental measurements…
View article: Stability Analysis of the Synchronous Solution in Arrays of Memristive Chua’s Circuits
Stability Analysis of the Synchronous Solution in Arrays of Memristive Chua’s Circuits Open
This paper studies synchronization in an array of diffusively-coupled identical memristor Chua's circuits (MCCs) with Dirichlet's boundary conditions.We start from the description of MCCs in the flux-charge domain and the state space decom…
View article: Co-Design of a Controller and Its Digital Implementation: The MOBY-DIC2 Toolbox for Embedded Model Predictive Control
Co-Design of a Controller and Its Digital Implementation: The MOBY-DIC2 Toolbox for Embedded Model Predictive Control Open
Several software tools are available in the literature
\nfor the design and embedded implementation of linear model
\npredictive control (MPC), both in its implicit and explicit (either
\nexact or approximate) forms. Most of them generate …
View article: Pinning control of networks: dimensionality reduction through simultaneous block-diagonalization of matrices
Pinning control of networks: dimensionality reduction through simultaneous block-diagonalization of matrices Open
In this paper, we study the network pinning control problem in the presence of two different types of coupling: (i) node-to-node coupling among the network nodes and (ii) input-to-node coupling from the source node to the `pinned nodes'. P…
View article: Nonlinear models of power inductors: A survey
Nonlinear models of power inductors: A survey Open
Summary Switch‐mode power supplies (SMPSs) are widely exploited to interface electrical energy sources to motors and other electrical loads. Inductors are usually the biggest and heaviest components in SMPSs, limiting their overall power d…
View article: One-way dependent clusters and stability of cluster synchronization in directed networks
One-way dependent clusters and stability of cluster synchronization in directed networks Open
View article: Analyzing synchronized clusters in neuron networks
Analyzing synchronized clusters in neuron networks Open
View article: Generalized half-center oscillators with short-term synaptic plasticity
Generalized half-center oscillators with short-term synaptic plasticity Open
How can we develop simple yet realistic models of the small neural circuits known as central pattern generators (CPGs), which contribute to generate complex multiphase locomotion in living animals? In this paper we introduce a new model (w…
View article: Analyzing synchronized clusters in neuron networks
Analyzing synchronized clusters in neuron networks Open
The presence of synchronized clusters in neuron networks is a hallmark of information transmission and processing. Common approaches to study cluster synchronization in networks of coupled oscillators ground on simplifying assumptions, whi…
View article: Dimensional reduction in networks of non-Markovian spiking neurons: Equivalence of synaptic filtering and heterogeneous propagation delays
Dimensional reduction in networks of non-Markovian spiking neurons: Equivalence of synaptic filtering and heterogeneous propagation delays Open
Message passing between components of a distributed physical system is non-instantaneous and contributes to determine the time scales of the emerging collective dynamics. In biological neuron networks this is due in part to local synaptic …
View article: Author index
Author index Open
View article: Model-Based Compensation of Rate-Dependent Hysteresis in a Piezoresistive Strain Sensor
Model-Based Compensation of Rate-Dependent Hysteresis in a Piezoresistive Strain Sensor Open
This paper is concerned with modeling of smart textiles, aimed at compensating their intrinsic nonlinearities. In particular, a new model is proposed to compensate for hysteresis and relaxation in strain sensors made of Electrolycra. These…
View article: Author index
Author index Open
View article: Design of Synthetic Central Pattern Generators Producing Desired Quadruped Gaits
Design of Synthetic Central Pattern Generators Producing Desired Quadruped Gaits Open
This paper is concerned with a method for design and analysis of specific neuronal networks, called central pattern generators (CPGs), which produce primary rhythmic patterns in animals. In particular, the paper is focused on synthetic CPG…
View article: Phase analysis method for burst onset prediction
Phase analysis method for burst onset prediction Open
The response of bursting neurons to fluctuating inputs is usually hard to predict, due to their strong nonlinearity. For the same reason, decoding the injected stimulus from the activity of a bursting neuron is generally difficult. In this…
View article: Estimation of stepping motor current from long distances through cable-length-adaptive piecewise affine virtual sensor
Estimation of stepping motor current from long distances through cable-length-adaptive piecewise affine virtual sensor Open
In this paper a piecewise affine virtual sensor is used for the estimation of the motor-side current of hybrid stepper motors, which actuate the LHC (Large Hadron Collider) collimators at CERN. The estimation is performed starting from mea…
View article: Efficient transient noise analysis of non‐periodic mixed analogue/digital circuits
Efficient transient noise analysis of non‐periodic mixed analogue/digital circuits Open
This paper proposes a numerical method for accurate time‐domain noise simulation of mixed analogue/digital electrical circuits that in principle do not admit a periodic steady‐state working condition, such as fractional ΔΣ phase‐locked loo…