Model Predictive Control for Offset-Free Reference Tracking [PDF]
<span style="font-family: 'Times New Roman',serif; font-size: 10pt; -ms-layout-grid-mode: line; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-GB; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-GB">The paper deals with the offset-free reference tracking problem of the Model Predictive Control (MPC).
Belda, Květoslav
openaire +3 more sources
Deep Learning-based Approximate Nonlinear Model Predictive Control with Offset-free Tracking for Embedded Applications [PDF]
The implementation of nonlinear model predictive control (NMPC) in applications with fast dynamics remains an open challenge due to the need to solve a potentially non-convex optimization problem in real-time. The offline approximation of NMPC laws using deep learning has emerged as a powerful framework for overcoming these challenges in terms of speed
Kimberly J. Chan +2 more
openaire +4 more sources
A time-strain monitoring system fabricated via offset lithographic printing [PDF]
This paper reports progress in the development of strain sensors fabricated using the Conductive Lithographic Film (CLF) printing process. Strain sensitive structures printed via an unmodified offset lithographic printing press using a silver loaded ...
Hay, GI +5 more
core +6 more sources
Blind Equalisation and Carrier Offset Compensation for Bluetooth Signals [PDF]
Bluetooth systems operating in medium to large sized rooms can suffer multipath distortion, which may be compounded by presence of frequency offsets permitted by the Bluetooth standard.
Tibenderana, C, Weiss, S
core +2 more sources
Offset-free setpoint tracking using neural network controllers
In this paper, we present a method to analyze local and global stability in offset-free setpoint tracking using neural network controllers and we provide ellipsoidal inner approximations of the corresponding region of attraction. We consider a feedback interconnection of a linear plant in connection with a neural network controller and an integrator ...
Patricia Pauli +4 more
openaire +4 more sources
Joint Channel, Carrier-Frequency-Offset and Noise-Variance Estimation for OFDM Systems Based on Expectation Maximization [PDF]
In this paper, a joint channel, carrier-frequency-offset (CFO) and noise-variance estimation scheme is proposed for OFDM systems which is based on Expectation and Maximization (EM) algorithm.
Xiaomin Mu +5 more
core +2 more sources
Model predictive control for compliant feed drives with offset-free tracking behavior
AbstractIndustrial machine tool feed drives are predominantly controlled by cascade control due to their low tuning complexity and inherent robustness. However, the cascaded structure requires the inner cascades to have higher dynamics than the outer cascades, which limits the achievable dynamic accuracy. Direct control approaches, which substitute the
Valentin Leipe +3 more
openaire +1 more source
Model predictive control for offset-free reference tracking of fractional order systems [PDF]
In this paper an offset-free model predictive control scheme is presented for fractional-order systems using the Grünwald-Letnikov derivative. The infinite-history fractional-order system is approximated by a finite-dimensional state-space system and the modeling error is cast as a bounded disturbance term.
Ntouskas, Sotiris +2 more
openaire +3 more sources
Offset-free MPC explained: novelties, subtleties, and applications [PDF]
This paper presents an updated and comprehensive description of offset-free MPC algorithms for nonlinear (and linear) discrete-time systems, with the intended objectives of clarifying the main concepts, showing new results, highlighting subtleties by ...
PANNOCCHIA, GABRIELE +2 more
core +1 more source
Biophysical approaches for studying viral entry
Viruses infect all living organisms and have been responsible for major epidemics and pandemics. Their ongoing evolutionary battle with host defenses creates a constant need for improved tools to study viral behavior. Advancing methods to probe viral attachment, fusion, and genome release deepen our understanding of how infections begin and support the
Inbar Yosibash, Raya Sorkin
wiley +1 more source

