17 papers · ranked by Valyu relevance
Eric Maris
Effective motor control requires sensory feedback but is seriously complicated by the sensorimotor delay (SMD), which is the time delay between the state of the body at feedback generation and the arrival in the body’s muscles of the feedback-informed motor command. I describe and evaluate three SMD compensation…
Siyu Zhan, Qiang Liu, Zhao Zhao, Shen’ao Zhang + 2 more
With the increasing deployment of unmanned surface vessels (USVs) in complex marine operations such as ocean monitoring, search and rescue, and military reconnaissance, precise heading control under environmental disturbances and system delays has become a critical challenge. This paper presents an advanced robust…
Di Cao, Noah J. Cowan, J.S. Freudenberg
—Given a plant subject to delayed sensor measurement, there are several approaches to compensate for the delay. An obvious approach is to address this problem in state space, where the n-dimensional plant state is augmented by an N-dimensional (Pade) approximation to the ´ delay, affording (optimal) state estimate…
Algirdas Baskys, Sašo Blažič
The modification of a Smith predictor for the control of plants with response-delay asymmetry has been proposed. It was developed for application in frequency converters for the control of the speed of the AC induction motor drives of pumps used in water- and liquefied-petroleum-gas-supply systems. Such plants are…
Amanda M. Zimmet, Amy J. Bastian, Noah J. Cowan
It is thought that the brain does not simply react to sensory feedback, but rather uses an internal model of the body to predict the consequences of motor commands before sensory feedback arrives. Time-delayed sensory feedback can then be used to correct for the unexpected—perturbations, motor noise, or a moving…
Tiago A. Moraes, Moisés T. da Silva, Thiago A. M. Euzébio, Ramón Vilanova Arbós
'Ramón Vilanova Arbós'] Conveyor belts serve as the primary mode of ore transportation in mineral processing plants. Feeders, comprised of shorter conveyors, regulate the material flow from silos to longer conveyor belts by adjusting their velocity. This velocity manipulation is facilitated by automatic controllers…
Keran Deng, Juan Tan, Piao Chen, Shige Zhang + 3 more
In the high-precision optoelectronic tracking system (OTS) based on a charge-coupled device (CCD), the boresight error extracted from the tracking image contains an undeniable delay, which directly limits the control bandwidth of visual tracking. High bandwidth means high response speed and tracking accuracy.…
Martin Steinberger, Martin Horn
—Filtered Smith predictors are well established for controlling linear plants with constant time delays. Apart from this classical application scenario, they are also employed within networked control loops, where the measurements are sent in separate packets over a transmission channel that is subject to time-varying…
Azad Ghaffari, Manavendra Desai
—Performing swift and agile maneuvers is essential for the safe operation of autonomous mobile robots. Moreover, the presence of time-delay restricts the response time of the system and hinders the safety performance. Thus, this paper proposes a modular and scalable safety-control design that utilizes the Smith…
Authors not listed
A numeric scale of acidity and basicity, developed by D.W. Smith, allows for quantitative comparison between different oxides and has been useful in explaining various oxide behaviors. In this study, we aim to predict oxide acidity on the Smith scale using a machine learning approach. Previous attempts using a linear…
Santosh Mohan Rajkumar, Sayan Chakraborty, Rajeeb Dey, Dipankar Deb
In the present work, an embedded PI controller is designed for speed regulation of DC servomotor over a wireless network. The embedded controller integrates PI controller with a proposed time-delay estimator and an adaptive digital Smith predictor for its real time operation, which is the novelty of the work. The real…
Xin Deng, Jesse Eickholt, Jianlin Cheng
Background Disordered regions are segments of the protein chain which do not adopt stable structures. Such segments are often of interest because they have a close relationship with protein expression and functionality. As such, protein disorder prediction is important for protein structure prediction, structure…
Victor Daniel Aldas-Bulos, Fabien Plisson
Machine learning models provide an informed and efficient strategy to create novel peptide and protein sequences with the desired profiles. Nevertheless, they are primarily trained on sequences where the tridimensional structures of peptides and proteins are often overlooked. We need a fast and reliable approach to…
Devabrat Sharma, Santu Das, B. N. Goswami
Scientific basis for long-lead seasonal prediction of Indian summer monsoon rainfall (ISMR) critical for water resource and crop strategy planning is lacking. Using a new predictor discovery method, here we show that the depth of 20Oisotherm (D20) is least influenced by atmospheric 'noise' and that the 18-month lead…
Damiano Piovesan, Andras Hatos, Giovanni Minervini, Federica Quaglia + 2 more
Post-translational modification (PTM) sites have become popular for predictor development. However, with the exception of phosphorylation and a handful of other examples, PTMs suffer from a limited number of available training examples and their sparsity in protein sequences. Here, proline hydroxylation is taken as an…
Mohammad Madani, Kaixiang Lin, Anna Tarakanova
Protein solubility is an important thermodynamic parameter critical for the characterization of a protein’s function, and a key determinant for the production yield of a protein in both the research setting and within industrial (e.g. pharmaceutical) applications. Thus, a highly accurate in silico bioinformatics tool…
Raghvendra Mall
Protein solubility is a property associated with protein expression and is a critical determinant of the manufacturability of therapeutic proteins. It is thus imperative to design accurate in-silico sequence-based solubility predictors. In this study, we propose SolXplain, an extreme gradient boosting machine based…