Search

Your search keyword '"Nesic, Dragan"' showing total 494 results
Start Over Author "Nesic, Dragan"
494 results on '"Nesic, Dragan"'

213. Periodic Event-Triggered Control

Author

Heemels, W.P.M.H., Postoyan, Romain, Donkers, Tijs, Teel, Andrew, Anta, Adolfo, Tabuada, Paulo, Nesic, Dragan, Department of Mechanical Engineering [Eindhoven], Eindhoven University of Technology [Eindhoven] (TU/e)-Technische Universiteit Eindhoven (TU/e), Centre de Recherche en Automatique de Nancy (CRAN), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Center for Control, Dynamical-Systems, and Computation [Santa Barbara] (CCDC), University of California [Santa Barbara] (UCSB), University of California-University of California, Munich, Germany, Cyber-Physical Systems Laboratory, University of California [Los Angeles] (UCLA), Department of Electrical and Electronic Engineering [Melbourne], Melbourne School of Engineering [Melbourne], University of Melbourne-University of Melbourne, Marek Miskowicz, and ANR-13-BS03-0004,COMPACS,Computation Aware Control Systems(2013)

Subjects
Stability Analysis, Event-based controller, nonlinear system, [SPI.AUTO]Engineering Sciences [physics]/Automatic
Abstract

International audience; Recent developments in computer and communication technologies are leading to an increasingly networked and wireless world. This raises new challenging questions in the context of networked control systems, especially when the computation, communication and energy resourcesof the system are limited. To efficiently use the available resources it is desirable to limit the control actions to instances when the system really needs attention. Unfortunately, the classical time-triggered control paradigm is based on performing sensing and actuation actions periodically in time (irrespective of the state of the system) rather than when the system needs attention. Therefore, it is of interest to consider event-triggered control asan alternative paradigm as it is more natural to trigger control actions based on the system state, output, or other available information. Event-triggered control can thus be seen as the introduction of feedback in the sensing, communication, and actuation processes. To facilitate an easy implementation of event-triggered control, we propose to combine the principles and particularly the benefits of event-triggered control and classical periodic time-triggered control. The idea is to periodically evaluate the triggering condition and to decide, at every sampling instant, whether the feedback loop needs to be closed. This leads to the so-called periodic event-triggered control (PETC) systems. In this chapter, we discuss PETC strategies, their benefits and two analysis and design frameworks for linear and nonlinear plants, respectively.

Published
2015

228. Stabilizability and Dead-Beat Controllers for Two Classes of Wiener-Hammerstein Models

Author

Nesic, Dragan and Bastin, Georges

Subjects
Control systems -- Research, Discrete-time systems -- Research
Abstract

Two classes of block oriented models of the Wiener-Hammerstein type are considered. We prove that a generic condition is sufficient for a null controllable discrete-time system of this form to have a stabilizing minimum-time dead-beat controller. When the condition is violated, we show how to design a nonminimum time stabilizing (dynamic) dead-beat controller. The result is used to obtain stabilizability conditions for these systems. Index Terms--Dead-beat, discrete-time, stabilizing, nonlinear, Wiener-Hammerstein systems.

Published
1999

229. Stabilization of nonlinear systems using event-triggered output feedback laws

Author

Abdelrahim, Mahmoud, Postoyan, Romain, Daafouz, Jamal, Nesic, Dragan, Centre de Recherche en Automatique de Nancy (CRAN), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), Department of Electrical and Electronic Engineering [Melbourne], Melbourne School of Engineering [Melbourne], University of Melbourne-University of Melbourne, Postoyan, Romain, and Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)

Subjects
sampling, [SPI.AUTO] Engineering Sciences [physics]/Automatic, output feedback, Event-triggered control, nonlinear systems, hybrid systems, [SPI.AUTO]Engineering Sciences [physics]/Automatic
Abstract

To appear in the proceedings of the 21th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2014); International audience; We design output-based event-triggered con- trollers to stabilize a class of nonlinear systems. We start from an output feedback law which stabilizes the plant in the absence of sampling and we then synthesize the event-triggering condition. The proposed event-triggering condition combines event-triggered and time-triggered techniques. The idea is to turn on the event-triggering mechanism only after a fixed amount of time has elapsed since the last transmission. This time is computed based on results on the stabilization of time-driven sampled-data systems. The overall strategy ensures an asymptotic stability property for the closed-loop system. Moreover, it has the advantage to enforce a (uniform) minimum amount of time between two transmissions which can be directly tuned. We show that the results are applicable to linear time- invariant systems as a particular case and we illustrate the approach for the stabilization of a nonlinear single-link robot arm model.

Published
2014

230. Patient-specific neural mass modelling: stochastic and deterministic methods, Recent Advances in Predicting and Preventing Epileptic Seizures

Author

Freestone, Dean, Kuhlmann, Levin, Chong, Michelle, Nesic, Dragan, Grayden, David B., Aram, Parham, Postoyan, Romain, Cook, Mark, Department of Electrical and Electronic Engineering [Melbourne], Melbourne School of Engineering [Melbourne], University of Melbourne-University of Melbourne, Center for Neural Engineering, University of Melbourne, Bionics Institute [Melbourne], University of New South Wales [Sydney] (UNSW)-St. Vincent's Hospital, Sydney-University of Melbourne-La Trobe University [Melbourne]-University of Wollongong [Australia]-Royal Victorian Eye and Ear Hospital, Department of Automatic Control and Systems Engineering, University of Sheffield [Sheffield], Centre de Recherche en Automatique de Nancy (CRAN), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Department of Neurology, St. Vincent's Hospital, Melbourne, and Ronald Tetzlaff and Christian Elger and Klaus Lehnertz

Subjects
Epilepsy, EEG, Estimation, Neural Mass Model, [SPI.AUTO]Engineering Sciences [physics]/Automatic
Abstract

Communication first presented at the 5th International Workshop on Seizure Prediction, IWSP 2013, Dresden, Germany, September 19-23, 2011; International audience; Deterministic and stochastic methods for online state and parameter estimation for neural mass models are presented and applied to synthetic and real seizure electrocorticographic signals in order to determine underlying brain changes that cannot easily be measured. The first ever online estimation of neural mass model parameters from real seizure data is presented. It is shown that parameter changes occur that are consistent with expected brain changes underlying seizures, such as increases in postsynaptic potential amplitudes, increases in the inhibitory postsynaptic time-constant and decreases in the firing threshold at seizure onset, as well as increases in the firing threshold as the seizure progresses towards termination. In addition, the deterministic and stochastic estimation methods are compared and contrasted. This work represents an important foundation for the development of biologically-inspired methods to image underlying brain changes and to develop improved methods for neurological monitoring, control and treatment.

Published
2013

242. Periodic event-triggered control for nonlinear systems

Author

Postoyan, Romain, Anta, Adolfo, Heemels, W.P.M.H., Tabuada, Paulo, Nesic, Dragan, Control Systems Technology, Centre de Recherche en Automatique de Nancy (CRAN), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL), Fachgebiet Regelungssysteme, Technische Universität Berlin (TU), Department of Mechanical Engineering [Eindhoven], Eindhoven University of Technology [Eindhoven] (TU/e)-Technische Universiteit Eindhoven (TU/e), Cyber-Physical Systems Laboratory, University of California [Los Angeles] (UCLA), University of California-University of California, Department of Electrical and Electronic Engineering [Melbourne], Melbourne School of Engineering [Melbourne], University of Melbourne-University of Melbourne, and Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)

Subjects
0209 industrial biotechnology, digital implementation, sampling, 020901 industrial engineering & automation, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, 02 engineering and technology, Event-triggered control, nonlinear systems, hybrid systems, [SPI.AUTO]Engineering Sciences [physics]/Automatic
Abstract

International audience; Resources limitations of embedded systems and networked control systems have motivated the development of novel controller implementation paradigms in order to reduce the potential conservatism of traditional clock-driven setups. In this context periodic event-triggered control has recently been proposed. Based on a periodically evaluated and state-dependent criterion, it is decided, at every sampling instant, whether the control input needs to be updated or not. In this paper we propose a method for the design of periodic event-triggered controllers for nonlinear systems. We follow an emulation-based approach as we start from a known (continuously evaluated) event-triggered controller and we provide a systematic technique to select the sampling period and to redesign the triggering condition to approximately maintain the guarantees ensured by the original controller. The method is illustrated on a physical system and we compare the obtained results with other available event-based implementations.

Published
2013

Catalog

Books, media, physical & digital resources
See catalog results