22 results match your criteria: "Automatica[Journal]"
Automatica (Oxf)
February 2024
Department of Electrical Engineering and Computer Science, MIT.
Automatica (Oxf)
January 2023
Department of Mathematics, University of Southern California, Los Angeles, CA, 90089-2532, USA.
Automatica (Oxf)
May 2023
University of Trento, Department of Information Engineering and Computer Science, Via Sommarive 9 - Povo, 38123 Trento (TN), Italy.
We propose a Markovian stochastic approach to model the spread of a SARS-CoV-2-like infection within a closed group of humans. The model takes the form of a Partially Observable Markov Decision Process (POMDP), whose states are given by the number of subjects in different health conditions. The model also exposes the different parameters that have an impact on the spread of the disease and the various decision variables that can be used to control it (e.
View Article and Find Full Text PDFAutomatica (Oxf)
October 2022
Institute of Technological Development for the Chemical Industry (INTEC), CONICET-Universidad Nacional del Litoral (UNL), Guemes 3450, Santa Fe, 3000, Argentina.
Automatica (Oxf)
June 2022
Department of Information Engineering, University of Padova, Padova, Italy.
Quantitative assessment of the infection rate of a virus is key to monitor the evolution of an epidemic. However, such variable is not accessible to direct measurement and its estimation requires the solution of a difficult inverse problem. In particular, being the result not only of biological but also of social factors, the transmission dynamics can vary significantly in time.
View Article and Find Full Text PDFAutomatica (Oxf)
March 2022
Dept. of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa 52242.
This paper investigates the uniqueness of parameters via persistence of excitation for switched linear systems. The main contribution is a much weaker sufficient condition on the regressors to be persistently exciting that guarantees the uniqueness of the parameter sets and also provides new insights in understanding the relation among different subsystems. It is found that for uniquely determining the parameters of switched linear systems, the needed minimum number of samples derived from our sufficient condition is much smaller than that reported in the literature.
View Article and Find Full Text PDFAutomatica (Oxf)
August 2019
Modeling and Simulation Laboratory, Department of Mathematics, University of Southern California,
We estimate the distribution of random parameters in a distributed parameter model with unbounded input and output for the transdermal transport of ethanol in humans. The model takes the form of a diffusion equation with the input being the blood alcohol concentration and the output being the transdermal alcohol concentration. Our approach is based on the idea of reformulating the underlying dynamical system in such a way that the random parameters are now treated as additional space variables.
View Article and Find Full Text PDFAutomatica (Oxf)
February 2019
Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA.
The widespread adoption of closed-loop control in systems biology has resulted from improvements in sensors, computing, actuation, and the discovery of alternative sites of targeted drug delivery. Most control algorithms for circadian phase resetting exploit light inputs. However, recently identified small-molecule pharmaceuticals offer advantages in terms of invasiveness and potency of actuation.
View Article and Find Full Text PDFAutomatica (Oxf)
November 2019
The Department of Computer Science and Engineering, The University of Texas at Arlington, United States of America.
As IP video services have emerged to be the predominant Internet application, how to optimize the Internet resource allocation, while satisfying the quality of experience (QoE) for users of video services and other Internet applications becomes a challenge. This is because the QoE perceived by a user of video services can be characterized by a staircase function of the data rate, which is nonconcave and hence it is "hard" to find the optimal operating point. The work in this paper aims at tackling this challenge.
View Article and Find Full Text PDFAutomatica (Oxf)
May 2018
Harvard John A. Paulson School of Engineering & Applied Sciences, Harvard University, Cambridge, MA, USA.
A novel Model Predictive Control (MPC) law for the closed-loop operation of an Artificial Pancreas (AP) to treat type 1 diabetes is proposed. The contribution of this paper is to simultaneously enhance both the safety and performance of an AP, by reducing the incidence of controller-induced hypoglycemia, and by promoting assertive hyperglycemia correction. This is achieved by integrating two MPC features separately introduced by the authors previously to independently improve the control performance with respect to these two coupled issues.
View Article and Find Full Text PDFAutomatica (Oxf)
September 2016
Harvard John A. Paulson School of Engineering & Applied Sciences, Harvard University, Cambridge, MA 02138, USA.
Automatica (Oxf)
January 2015
School of Electrical Engineering and Computer Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia ; Department of Control Science and Engineering and State Key Laboratory of Industrial Control Technology, Zhejiang University, 388 Yuhangtang Road Hangzhou, Zhejiang Province, 310058, PR China.
In this paper we study a distributed weighted least-squares estimation problem for a large-scale system consisting of a network of interconnected sub-systems. Each sub-system is concerned with a subset of the unknown parameters and has a measurement linear in the unknown parameters with additive noise. The distributed estimation task is for each sub-system to compute the globally optimal estimate of its own parameters using its own measurement and information shared with the network through neighborhood communication.
View Article and Find Full Text PDFAutomatica (Oxf)
May 2014
Department of Systems Engineering and Operations Research, George Mason University, Fairfax, VA 22030.
Simulation can be a very powerful tool to help decision making in many applications but exploring multiple courses of actions can be time consuming. Numerous ranking & selection (R&S) procedures have been developed to enhance the simulation efficiency of finding the best design. To further improve efficiency, one approach is to incorporate information from across the domain into a regression equation.
View Article and Find Full Text PDFAutomatica (Oxf)
November 2012
Research School of Information Sciences and Engineering, Australian National University, Canberra, ACT 0200, Australia ; Canberra Research Laboratory, National ICT Australia Ltd., PO Box 8001, Canberra, ACT 2601, Australia.
Automatica (Oxf)
October 2012
Research School of Information Sciences and Engineering, Australian National University, Canberra, ACT 0200, Australia.
Automatica (Oxf)
August 2012
Department of Chemical and Biological Engineering, Illinois Institute of Technology, Chicago, IL 60616-3793, USA.
Many patients with diabetes experience high variability in glucose concentrations that includes prolonged hyperglycemia or hypoglycemia. Models predicting a subject's future glucose concentrations can be used for preventing such conditions by providing early alarms. This paper presents a time-series model that captures dynamical changes in the glucose metabolism.
View Article and Find Full Text PDFAutomatica (Oxf)
September 2011
Interdisciplinary Center for Scientific Computing, University of Heidelberg, Germany.
We derive optimal pricing strategies for conspicuous consumption products in periods of recession. To that end, we formulate and investigate a two-stage economic optimal control problem that takes uncertainty of the recession period length and delay effects of the pricing strategy into account.This non-standard optimal control problem is difficult to solve analytically, and solutions depend on the variable model parameters.
View Article and Find Full Text PDFAutomatica (Oxf)
June 2011
Department of Chemical Engineering, University of California, Santa Barbara, California 93106 USA.
Automatica (Oxf)
December 2008
School of Electronics and Information Engineering, Tongji University, Shanghai, China.
A probabilistic discrete event system (PDES) is a nondeterministic discrete event system where the probabilities of nondeterministic transitions are specified. State estimation problems of PDES are more difficult than those of non-probabilistic discrete event systems. In our previous papers, we investigated state estimation problems for non-probabilistic discrete event systems.
View Article and Find Full Text PDFAutomatica (Oxf)
December 2008
Department of Mechanical and Aerospace Engineering, University of Virginia, 122 Engineer's Way, Charlottesville, VA 22904-4746, USA.
Automatica (Oxf)
April 2009
Dept. of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa 52242.
In this paper, we investigate what constitutes the least amount of a priori information on the nonlinearity so that the linear part is identifiable in the non-Gaussian input case. Under the white noise input, three types of a priori information are considered including quadrant information, point information and monotonic information. In all three cases, identifiability has been established and the corresponding nonparametric identification algorithms are developed along with their convergence proofs.
View Article and Find Full Text PDFAutomatica (Oxf)
March 2009
Dept. of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa 52242.
Electrical muscle stimulation demonstrates potential for restoring functional movement and preventing muscle atrophy after spinal cord injury (SCI). Control systems used to optimize delivery of electrical stimulation protocols depend upon mathematical models of paralyzed muscle force outputs. While accurate, the Hill-Huxley-type model is very complex, making it difficult to implement for real-time control.
View Article and Find Full Text PDF© LitMetric 2025. All rights reserved.