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Current Search:
All of 'Hamilton' and 'Institute' in all fields;
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Displaying Results 226 - 250 of 338 on page 10 of 14
Marked
Mark
On the achievable delay margin using LTI control for unstable plants.
(2007)
Middleton, Richard H.; Miller, Daniel E.
On the achievable delay margin using LTI control for unstable plants.
(2007)
Middleton, Richard H.; Miller, Daniel E.
Abstract:
Handling delays in control systems is difficult and is of long-standing interest. It is well known that, given a finite-dimensional linear time-invariant (FDLTI) plant and controller forming a strictly proper stable feedback connection, closed-loop stability will be maintained under a small delay in the feedback loop, although most closed loop systems become unstable for large delays. One previously unsolved fundamental problem in this context is whether, for a given FDLTI plant, an arbitrarily large delay margin can be achieved using LTI control. Here, we adopt a frequency domain approach and demonstrate that, for a strictly proper real rational plant, there is a uniform upper bound on the delay that can be tolerated when using an LTI controller, if and only if the plant has at least one closed right half plane pole not at the origin. We also give several explicit upper bounds on the achievable delay margin, and, in some special cases, demonstrate that these bounds are tight.
http://eprints.nuim.ie/1709/
Marked
Mark
Non-linear dynamics identification using Gaussian process prior models within a Bayesian context.
(2008)
Neo, Keith Kian Seng
Non-linear dynamics identification using Gaussian process prior models within a Bayesian context.
(2008)
Neo, Keith Kian Seng
Abstract:
Gaussian process prior models are known to be a powerful non-parametric tool for stochastic data modelling. It employs the methodology of Bayesian inference in using evidence or data to modify or refer some prior belief. Within the Bayesian context, inference can be used for several purposes, such as data analysis, filtering, data mining, signal processing, pattern recognition and statistics. In spite of the growing popularity of stochastic data modelling in several areas, such as machine learning and mathematical physics, it remains generally unexplored within the realm of nonlinear dynamic systems, where parametric methods are much more mature and more widely accepted. This thesis seeks to explore diverse aspects of mathematical modelling of nonlinear dynamic systems using Gaussian process prior models, a simple yet powerful stochastic approach to modelling. The focus of the research is on the application of non-parametric stochastic models to identify nonlinear dynamic systems fo...
http://eprints.nuim.ie/1691/
Marked
Mark
Global phase-locking in finite populations of phase-coupled oscillators
(2007)
Verwoerd, Mark; Mason, Oliver
Global phase-locking in finite populations of phase-coupled oscillators
(2007)
Verwoerd, Mark; Mason, Oliver
Abstract:
We present new necessary and sufficient conditions for the existence of fixed points in a finite system of coupled phase oscillators on a complete graph. We use these conditions to derive bounds on the critical coupling.
http://eprints.nuim.ie/1687/
Marked
Mark
Experimental Evaluation of delay/loss-based TCP congestion control algorithms.
(2008)
Leith, Douglas J. ; Andrew, Lachlan L. H.; Quetchenbach, Tom; Shorten, Robert N.
Experimental Evaluation of delay/loss-based TCP congestion control algorithms.
(2008)
Leith, Douglas J. ; Andrew, Lachlan L. H.; Quetchenbach, Tom; Shorten, Robert N.
Abstract:
We present initial experimental results for TCP Illinois and Compound TCP. These tests are for relatively simple scenarios yet they are sufficient to highlight several interesting issues. We observe that both TCP Illinois and Compound TCP can exhibit poor scaling behaviour as path BDP increases. As a result, link utilisation can be low and network responsiveness can become sluggish as BDP increases. We also document a number of important implementation issues observed during our tests.
http://eprints.nuim.ie/1688/
Marked
Mark
A small spiking neural network with LQR control applied to the acrobot
(2009)
Wiklendt, Lukasz; Chalup, Stephan; Middleton, Rick
A small spiking neural network with LQR control applied to the acrobot
(2009)
Wiklendt, Lukasz; Chalup, Stephan; Middleton, Rick
Abstract:
This paper presents the results of a computer simulation which, combined a small network of spiking neurons with linear quadratic regulator (LQR) control to solve the acrobot swing-up and balance task. To our knowledge, this task has not been previously solved with spiking neural networks. Input to the network was drawn from the state of the acrobot, and output was torque, either directly applied to the actuated joint, or via the switching of an LQR controller designed for balance. The neural network’s weights were tuned using a (µ λ)-evolution strategy without recombination, and neurons’ parameters, were chosen to roughly approximate biological neurons.
http://eprints.nuim.ie/1676/
Marked
Mark
Sensitivity analysis of programmed cell death and implications for crosstalk phenomena during Tumor Necrosis Factor stimulation.
(2006)
Eissing, Thomas; Waldherr, Steffen; Gondro, Cedric; Bullinger, Eric; Sawodny, Oliver ; ...
Sensitivity analysis of programmed cell death and implications for crosstalk phenomena during Tumor Necrosis Factor stimulation.
(2006)
Eissing, Thomas; Waldherr, Steffen; Gondro, Cedric; Bullinger, Eric; Sawodny, Oliver ; Allgöwer, Frank; Scheurich, Peter ; Sauter, Thomas
Abstract:
Different methods for analyzing the sensitivity of the direct signal transduction pathway of receptor-induced apoptosis to parameter changes are presented. Apoptosis is a form of programmed cell death, removing unwanted cells within multicellular organisms to maintain a proper balance between cell reproduction and death. The results indicate the importance of controlling activated caspases by direct inhibition to prevent apoptosis. A misregulation of IAP molecules, one of the main inhibitors, appears to be especially critical. The results indicate how an increased production of this molecule promotes survival and might promote cancer progression, while a reduced degradation might not, thereby providing insight of potential pharmaceutical relevance and also stimulating experimental verification. The different engineering methods applied, nicely complement each other to provide valuable insight into this important process. Because IAPs, among others, are also an important connection t...
http://eprints.nuim.ie/1761/
Marked
Mark
Gaussian process functional regression modelling for batch data.
(2006)
Shi, J. Q.; Wang, B.
Gaussian process functional regression modelling for batch data.
(2006)
Shi, J. Q.; Wang, B.
Abstract:
A Gaussian process functional regression model is proposed for the analysis of batch data. Covariance structure and mean structure are considered simultaneously, with the covariance structure modelled by a Gaussian process regression model and the mean structure modelled by a functional regression model. The model allows the inclusion of covariates in both the covariance structure and the mean structure. It models the nonlinear relationship between a functional output variable and a set of functional and non-functional covariates. Several applications and simulation studies are reported and show that the method provides very good results for curve fitting and prediction.
http://eprints.nuim.ie/1724/
Marked
Mark
Allocation of Computational Resources in the Nervous System.
(2006)
Jaramillo, Santiago
Allocation of Computational Resources in the Nervous System.
(2006)
Jaramillo, Santiago
Abstract:
The nervous system integrates past information together with predictions about the future in order to produce rewarding actions for the organism. This dissertation focuses on the resources underlying these computations, and the task-dependent allocation of these resources. We present evidence that principles from optimal coding and optimal estimation account for overt and covert orienting phenomena, as observed from both behavioral experiments and neuronal recordings. First, we review behavioral measurements related to selective attention and discuss models that account for these data. We show that reallocation of resources emerges as a natural property of systems that encode their inputs efficiently under non-uniform constraints. We continue by discussing the attentional modulation of neuronal activity, and showthat: (1) Modulation of coding strategies does not require special mechanisms: it is possible to obtain dramatic modulation even when signals informing the system about fid...
http://eprints.nuim.ie/1765/
Marked
Mark
Software supported modelling in pharmacokinetics.
(2006)
Telgmann, Regina ; von Kleist, Max; Huisinga, Wilhelm
Software supported modelling in pharmacokinetics.
(2006)
Telgmann, Regina ; von Kleist, Max; Huisinga, Wilhelm
Abstract:
A powerful new software concept to physiologically based pharmacokinetic (PBPK) modelling of drug disposition is presented. It links the inherent modular understanding in pharmacology with orthogonal design principles from software engineering. This concept allows for flexible and user-friendly design of pharmacokinetic whole body models, data analysis, hypotheses testing or extrapolation. The typical structure of physiologically-based pharmacokinetic models is introduced. The resulting requirements from a modelling and software engineering point of view and its realizations in the software tool MEDICI-PK are described. Finally, an example in the context of drug-drug interaction studies is given, that demonstrates the advantage of defining a whole-body pharmacokinetic model in terms of the underlying physiological processes quite impressively: A system of 162 ODEs is automatically compiled based on the specification of 7 local physiological processes only.
http://eprints.nuim.ie/1770/
Marked
Mark
Sizing Internet Router Buffers, Active Queue Management, and the Lur'e Problem.
(2006)
Kellett, Christopher M.; Shorten, Robert N.; Leith, Douglas J.
Sizing Internet Router Buffers, Active Queue Management, and the Lur'e Problem.
(2006)
Kellett, Christopher M.; Shorten, Robert N.; Leith, Douglas J.
Abstract:
In this paper we consider the design of control strategies for implementation in a recently proposed Active Queue Management (AQM) scheme, active drop-tail (ADT) [9]. The basic idea underlying ADT is to adjust the queue length of a drop-tail buffer to regulate the utilization of a link carrying internet traffic in order to reduce queuing delays in the network. A basic problem in the design of ADT is to design appropriate strategies to regulate the target utilization using the buffer queue as a control input. This problem is challenging due to the stochastic and time-varying nature of communication networks. Our contribution in this paper is to relate the design of control strategies for this AQM to the classical Lur’e problem. Our formulation naturally accounts for the time-variations and randomness inherent in communication networks, and enables us to design AQMs with guaranteed convergence (under mild and realistic assumptions). Packet level simulations are given to demonstrate th...
http://eprints.nuim.ie/1779/
Marked
Mark
Log-Convexity of Rate Region in 802.11e WLANs
(2010)
Leith, Douglas J. ; Subramanian, Vijay G.; Duffy, Ken R.
Log-Convexity of Rate Region in 802.11e WLANs
(2010)
Leith, Douglas J. ; Subramanian, Vijay G.; Duffy, Ken R.
Abstract:
In this paper we establish the log-convexity of the rate region in 802.11 WLANs. This generalises previous results for Aloha networks and has immediate implications for optimisation based approaches to the analysis and design of 802.11 wireless networks.
http://eprints.nuim.ie/1818/
Marked
Mark
On the second eigenvalues of matrices associated with TCP
(2006)
Berman, Abraham; Laffey, Thomas; Leizarowitz, Arie; Shorten, Robert
On the second eigenvalues of matrices associated with TCP
(2006)
Berman, Abraham; Laffey, Thomas; Leizarowitz, Arie; Shorten, Robert
Abstract:
We consider a convex combination of matrices that arise in the study of communication networks and the corresponding convex combination of Kronecker squares of these matrices. We show that the spectrum of the first convex combination is contained in the spectrum of the second set and that the second largest eigenvalues coincide.
http://eprints.nuim.ie/1819/
Marked
Mark
Adaptive approach for non-linear sensitivity analysis of reaction kinetics
(2005)
Horenko, Illia; Lorenz, Sönke; Schütte, Christof; Huisinga, Wilhelm
Adaptive approach for non-linear sensitivity analysis of reaction kinetics
(2005)
Horenko, Illia; Lorenz, Sönke; Schütte, Christof; Huisinga, Wilhelm
Abstract:
We present a unified approach for linear and non-linear sensitivity analysis for models of reaction kinetics that are stated in terms of systems of ordinary differential equations (ODEs). The approach is based on the reformulation of the ODE problem as a density transport problem described by a Fokker–Planck equation. The resulting multidimensional partial differential equation is herein solved by extending the TRAIL algorithm originally introduced by Horenko and Weiser in the context of molecular dynamics (J. Comp. Chem. 2003, 24, 1921) and discuss it in comparison with Monte Carlo techniques. The extended TRAIL approach is fully adaptive and easily allows to study the influence of non-linear dynamical effects. We illustrate the scheme in application to an enzyme-substrate model problem for sensitivity analysis w.r.t. to initial concentrations and parameter values.
http://eprints.nuim.ie/1820/
Marked
Mark
Adaptive simulation of hybrid stochastic and deterministic models for biochemical systems
(2005)
Alfonsi, Aurélien; Cancès, Eric; Turinici, Gabriel; Di Ventura, Barbara; Huisinga, Wilhelm
Adaptive simulation of hybrid stochastic and deterministic models for biochemical systems
(2005)
Alfonsi, Aurélien; Cancès, Eric; Turinici, Gabriel; Di Ventura, Barbara; Huisinga, Wilhelm
Abstract:
In the past years it has become evident that stochastic effects in regulatory networks play an important role, leading to an increasing in stochastic modelling attempts. In contrast, metabolic networks involving large numbers of molecules are most often modelled deterministically. Going towards the integration of different model systems, gen-regulatory networks become part of a larger model system including signalling pathways and metabolic networks. Thus, the question arises of how to efficiently and accurately simulation such coupled or hybrid systems. We present an algorithmic approach for the simulation of hybrid stochastic and deterministic reaction models that allows for adaptive step-size integration of the deterministic equations while at the same time accurately tracing the stochastic reaction events. We present a mathematical derivation of the hybrid system on the stochastic process level, and present numerical examples that outline the power of hybrid simulations.
http://eprints.nuim.ie/1821/
Marked
Mark
A non-invasive method for link upgrade planning using coarse-grained measurements
(2007)
Leith, D. J.; Kellett, C.; Clifford, P.; Epperlein, J.; Shorten, R.N.
A non-invasive method for link upgrade planning using coarse-grained measurements
(2007)
Leith, D. J.; Kellett, C.; Clifford, P.; Epperlein, J.; Shorten, R.N.
Abstract:
A basic problem faced by network operators concerns the provisioning of bandwidth to meet quality of service (QoS) requirements. In the network core, the preferred solution is simply to overprovision link bandwidth. We propose a new approach to making link upgrade decisions based only on readily available coarse SNMP measurements.
http://eprints.nuim.ie/1826/
Marked
Mark
Modelling TCP congestion control dynamics in drop-tail environments
(2007)
Shorten, Robert; King, Chris; Wirth, Fabian; Leith , Douglas
Modelling TCP congestion control dynamics in drop-tail environments
(2007)
Shorten, Robert; King, Chris; Wirth, Fabian; Leith , Douglas
Abstract:
In this paper we study communication networks that employ drop-tail queueing and additive-increase multiplicative-decrease (AIMD) congestion control algorithms. We show that the theory of non-negative matrices may be employed to model such networks and to derive basic theorems concerning their behaviour.
http://eprints.nuim.ie/1827/
Marked
Mark
Appropriate Realisation of MIMO Gain-Scheduled Controllers
(1998)
Leith, D. J.; Leithead, W.E.
Appropriate Realisation of MIMO Gain-Scheduled Controllers
(1998)
Leith, D. J.; Leithead, W.E.
Abstract:
The dynamic characteristics of a controller designed by the gain-scheduling approach can be strongly dependent on the realisation adopted; that is, the manner in which the local linear controller designs are combined to obtain a nonlocal controller. The purpose of the present paper is to investigate the choice of appropriate realisations for general MIMO gain-scheduled controllers. An extended local linear equivalence condition for MIMO gain-scheduled nonlinear controllers is proposed which minimises the controller nonlinearity. It is shown that, with few exceptions, it is possible to realise all gain-scheduled controllers as nonlinear controllers satisfying the extended local linear equivalence condition and requiring the controller to do so is not at all restrictive.
http://eprints.nuim.ie/1841/
Marked
Mark
Gain-Scheduled & Nonlinear Systems: Dynamic Analysis by Velocity-Based Linearisation Families
(1998)
Leith, D. J.; Leithead, W.E.
Gain-Scheduled & Nonlinear Systems: Dynamic Analysis by Velocity-Based Linearisation Families
(1998)
Leith, D. J.; Leithead, W.E.
Abstract:
A family of velocity-based linearisations is proposed for a nonlinear system. In contrast to the conventional series expansion linearisation, a member of the family of velocity-based linearisations is valid in the vicinity of any operating point, not just an equilibrium operating point. The velocity-based linearisations facilitate dynamic analysis far from the equilibrium operating points and enable the transient behaviour of the nonlinear system to be investigated. Using velocity-based linearisations, stability conditions are derived for both smooth and non-smooth nonlinear systems which avoid the restrictions, to trajectories lying within an unnecessarily, perhaps excessively, small neighbourhood about the equilibrium operating points, inherent in existing frozen-input theory. For systems where there is no restriction on the rate of variation, the velocity-based linearisation analysis is global in nature. The analysis techniques developed, whilst quite general, are motivated by th...
http://eprints.nuim.ie/1840/
Marked
Mark
Gain-Scheduled Controller Design: An Analytic Framework Directly Incorporating Non-Equilibrium Plant Dynamics
(1998)
Leith, D. J.; Leithead, W.E.
Gain-Scheduled Controller Design: An Analytic Framework Directly Incorporating Non-Equilibrium Plant Dynamics
(1998)
Leith, D. J.; Leithead, W.E.
Abstract:
In this paper, a velocity-based linearisation framework is employed to develop a novel rigorous approach to gain-scheduling design. The proposed approach enables knowledge concerning the plant dynamics at non-equilibrium operating points to be incorporated directly into the controller design. Since the velocity-based linearisation framework supports the analysis of the transient response, performance considerations can be accommodated. The approach retains continuity with linear methods, which is central to the existing conventional gain-scheduling methodology, and, since a single type of linearisation is employed throughout, the design procedure is both straightforward and conceptually appealing.
http://eprints.nuim.ie/1839/
Marked
Mark
Analytic Framework for Blended Multiple Model Systems Using Linear Local Models
(1999)
Leith, D. J.; Leithead, W.E.
Analytic Framework for Blended Multiple Model Systems Using Linear Local Models
(1999)
Leith, D. J.; Leithead, W.E.
Abstract:
In this paper it is shown that the dynamics of a conventional type of blended multiple model system are only weakly related to the local models from which it is formed. A novel class of velocity-based blended multiple model systems is proposed for which the dynamics are directly related to the local models. Indeed, the solution to the blended multiple model system, locally to a specific operating point, is approximated by the weighted linear combination of the solutions to the local models. Moreover, in contrast to conventional blended multiple model systems, the velocity-based blended multiple model systems employs linear local models, thereby providing a degree of continuity with established linear methods and, consequently, facilitating analysis and design.
http://eprints.nuim.ie/1838/
Marked
Mark
Comments on ‘Gain Scheduling Dynamic Linear Controllers for a Nonlinear Plant’
(1998)
Leith, D. J.; Leithead, W.E.
Comments on ‘Gain Scheduling Dynamic Linear Controllers for a Nonlinear Plant’
(1998)
Leith, D. J.; Leithead, W.E.
Abstract:
Lawrence & Rugh (1995), Kaminer et al. (1995) propose that the realisation for a gain-scheduled controller should be chosen to satisfy a local linear equivalence condition. However, this provides an inadequate basis selecting an appropriate realisation. Many realisations satisfy the local linear equivalence condition yet are not equivalent and can exhibit quite different dynamic behaviour. Furthermore, the condition imposes restrictions on the controller states and inputs which are not a priori necessary.
http://eprints.nuim.ie/1836/
Marked
Mark
Input-Output Linearisation by Velocity-Based Gain-Scheduling
(1999)
Leith, D. J.; Leithead, W.E.
Input-Output Linearisation by Velocity-Based Gain-Scheduling
(1999)
Leith, D. J.; Leithead, W.E.
Abstract:
The velocity-based analysis framework provides direct support for divide and conquer design approaches, such as the gain-scheduling control design methodology, whereby the design of a nonlinear system is decomposed into the design of an associated family of linear systems. The velocity-based gain-scheduling approach is quite general and directly supports the design of feedback configurations for which the closedloop dynamics are nonlinear. However, the present paper concentrates on the velocity-based design of controllers which, when combined with a nonlinear plant, attain linear closed-loop dynamics. The resulting approach is a direct generalisation to nonlinear systems of classical frequency-domain pole-zero inversion which is, in many ways, complementary to the Input-Output Linearisation approach. In particular the former is dynamic and reduces to open-loop inversion in the linear case whilst the latter is essentially static and utilises full state feedback.
http://eprints.nuim.ie/1837/
Marked
Mark
Survey of Gain-Scheduling Analysis & Design
(2000)
Leith, D. J.; Leithead, W.E.
Survey of Gain-Scheduling Analysis & Design
(2000)
Leith, D. J.; Leithead, W.E.
Abstract:
The gain-scheduling approach is perhaps one of the most popular nonlinear control design approaches which has been widely and successfully applied in fields ranging from aerospace to process control. Despite the wide application of gain-scheduling controllers and a diverse academic literature relating to gain-scheduling extending back nearly thirty years, there is a notable lack of a formal review of the literature. Moreover, whilst much of the classical gain-scheduling theory originates from the 1960s, there has recently been a considerable increase in interest in gain-scheduling in the literature with many new results obtained. An extended review of the gainscheduling literature therefore seems both timely and appropriate. The scope of this paper includes the main theoretical results and design procedures relating to continuous gain-scheduling (in the sense of decomposition of nonlinear design into linear sub-problems) control with the aim of providing both a critical overview and...
http://eprints.nuim.ie/1834/
Marked
Mark
Mechanism-based Inhibition: Deriving KI and kinact directly from Time-Dependent IC50 Values
(2009)
Krippendorff, Ben-Fillippo; Neuhaus, Roland; Lienau, Philip; Reichel, Andreas; Huisinga...
Mechanism-based Inhibition: Deriving KI and kinact directly from Time-Dependent IC50 Values
(2009)
Krippendorff, Ben-Fillippo; Neuhaus, Roland; Lienau, Philip; Reichel, Andreas; Huisinga, Wilhelm
Abstract:
The potential of enzyme inhibition of a drug is frequently quantified in terms of IC50 values. While this is a suitable quantity for reversible inhibitors, concerns arise when dealing with irreversible, or mechanism-based inhibitors (MBI). IC50 values of MBI are time-dependent, causing serious problems when aiming at ranking different compounds with respect to their inhibitory potential. As a consequence, most studies and ranking schemes related to MBI rely on the inhibition constant (KI) and the rate of enzyme inactivation (kinact) rather than on IC50 values. In this article we derive a novel relation between potentially time-dependent IC50 values and KI, kinact parameters for different types of inhibition. This allows for direct estimation of KI and kinact values from time-dependent IC50 values, even without the need of additional pre-incubation experiments. The application of this approach is illustrated using a fluorimetric assay to access the drug-drug interaction potential ass...
http://eprints.nuim.ie/1847/
Marked
Mark
The geometry of convex cones associated with the Lyapunov inequality and the common Lyapunov function problem
(2005)
Mason, Oliver; Shorten, Robert
The geometry of convex cones associated with the Lyapunov inequality and the common Lyapunov function problem
(2005)
Mason, Oliver; Shorten, Robert
Abstract:
In this paper, the structure of several convex cones that arise in the study of Lyapunov functions is investigated. In particular, the cones associated with quadratic Lyapunov functions for both linear and non-linear systems are considered, as well as cones that arise in connection with diagonal and linear copositive Lyapunov functions for positive linear systems. In each of these cases, some technical results are presented on the structure of individual cones and it is shown how these insights can lead to new results on the problem of common Lyapunov function existence.
http://eprints.nuim.ie/1853/
Displaying Results 226 - 250 of 338 on page 10 of 14
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