EDelay Systems letter Updated in October 2010 Greetings Colleagues, In this issue, we would like to share with you some information about upcoming conferences, as well as three pictures taken at the past IFAC Workshop on Time Delay Systems held in Prague. Should you wish to participate in sharing your news/announcements/recently published work with us, please do not hesitate to email to Rifat Sipahi at rifat AT coe DOT neu DOT edu with your documents, and we will be happy to post them and distribute them among the 1500 members we have in the emailing list. Regarding the emailing list. If you wish to be removed from the emailing list, please follow the simple instructions in the link below http://lists.coe.neu.edu/mailman/listinfo/edelay This link is also the main page we shall maintain the emailing list, to which new colleagues can subscribe simply by submitting their email addresses. If you have colleagues who might have interest in joining the emailing list, we will appreciate your help in spreading the news. Best regards, Rifat Sipahi & SilviuIulian Niculescu 
Announcements

Workshop Information: July 1416, 2011 When delay effects are included in mathematical models one obtains differential equations with constant, time varying, distributed and/or statedependent delays. Since related equations arise in a multitude of disciplines there is a need for good communication between these disciplines to avoid repetition of effort on similar problems and to ensure advances made in one application area propagate in a timely fashion to other fields. See details here. Contributed by Dr. Gabor Orosz. 
Thematic Symposium on Delayed Network Dynamics July 18 – 22, 2011 An important quest of 21stcentury scientists is to understand the emergent dynamics of complex physical and biological systems. Such systems are usually well studied at the component level, and the structure of the underlying networks have been described. Still, the time evolution of the systems' states is vaguely understood. One of the key elements in studying such dynamics is that finite time information propagation introduces time delays into the modeling equations. This session represents the currently arising mathematical problems through a wide range of applications in engineering and biology, including gene regulatory networks, neural networks and transportation systems. Contributed by Dr. Gabor Orosz. 
http://www.siam.org/meetings/ct11/ 
http://www.siam.org/meetings/ds11/index.php 
http://w3.uniroma1.it/dsg/enoc2011/ Minisymposia on 

Professor Pavel Zitek, the chair of the national organizing committee, is opening the banquet (June 8, 2010).  A snapshot from the ceiling of the Dominican monastery where the banquet took place.  A snapshot from the concert given at the Dominican monastery where the banquet took place.  Professor Nejat Olgac starting his plenary talk (contributed by Rifat Sipahi).  Contributed by Prof. Bernhard Lampe.  Contributed by Prof. Bernhard Lampe.  A snapshot of the Charles Bridge (contributed by Prof. Bernhard Lampe). 

Contributed by Miroslav Krstic Miroslav Krstic, Delay Compensation in Nonlinear, Adaptive, and PDE Systems, Birkhauser, 2009 Click to see the Table of Contents 
Contributed by Pierdomenico Pepe Papers presented at the 6th IFAC Workshop on Time Delay Systems, held in L'Aquila, Italy, have been published: C. Manes & P. Pepe (Eds), Proceedings of the 6th IFAC Workshop on TimeDelay Systems, L’Aquila, Italy, 2006, IFACPapersOnline (www.ifacpapersonline.net), Vol. 6, Part 1, ISBN 9783902661111. 
Contributions 
Control of DelayODE, DelayPDE, and PDEODE Cascades Miroslav Krstic Several extensions of the `predictor' (or `finite spectrum assignment') feedback are introduced, including a generalization to nonlinear ODE plants, a delayadaptive design for LTI plants, predictor feedback for PDEs, and `predictorlike' feedback for ODEs with PDE actuator dynamics (such as reactiondiffusion or wave/string dynamics). The emphasis is on explicit construction of feedback laws and LyapunovKrasovskii functionals.. Click to continue (PDF) 
A timedelay approach for the modeling and control of plasma instabilities in thermonuclear fusion Emmanuel Witrant, Erik OLOFSSON, SilviuIulian NICULESCU This letter presents a summary of [1], where we investigated the stability problems and control issues that occur in a reversedfield pinch (RFP) device, EXTRAPT2R, used for research in fusion plasma physics and general plasma (ionized gas) dynamics. The plant exhibits, among other things, magnetohydrodynamic instabilities known as resistivewall modes (RWMs), growing on a timescale set by a surrounding nonperfectly conducting shell. We propose a new modeling approach that takes into account experimental constraints, such as the actuators dynamics and control latencies leading to a multivariable timedelay model of the system. The openloop fielderror characteristics are estimated and a stability analysis of the resulting closedloop delay differential equation (DDE) emphasizes the importance of the delay effects. We then design an optimal PID controller (its structure being constrained by the intelligentshell (IS) control architecture) that achieves a direct eigenvalue optimization of the corresponding DDE. The presented results are substantially based on and compared with experimental data. Click to continue (PDF) 
Theses 
The spectrum of delaydifferential equations: numerical methods, stability and perturbation Elias Jarlebring, T.U. Braunschweig (now at K.U. Leuven) Supervisor: Abstract: Three types of problems related to timedelay systems are treated in this thesis. In our context, a timedelay system, or sometimes delaydifferential equation (DDE), is a generalization of an ordinary differential equation (ODE) with constant coefficients. For DDEs, unlike ODEs, the derivative of the state at some timepoint is not only dependent on the state at that timepoint, but also on one or more previous states. The second part of this thesis is related to exact stability conditions of the DDE. We find exact conditions on the delays such that the DDE has a purely imaginary eigenvalue. All those combinations of the delays such that there is a purely imaginary eigenvalue (called critical delays) are parameterized. That is, we construct a mapping consisting of computable expressions, from a simple mathematical object onto the set of all subsets of the critical delays. The mapping can be expressed explicitly with trigonometric functions for scalar DDEs. We find some new formulas and verify some formulas in the literature. In general, an evaluation of the map consists of solving a quadratic eigenvalue problem of squared dimension for nonscalar problems. The constructed eigenvalue problem is large, even for DDEs of moderate size. For that reason, we show how the computational cost for one evaluation of the map can be reduced. In particular we show that the matrixvector product corresponding to the companion linearization of the quadratic eigenvalue problem can be computed by solving a Lyapunov equation. Most of the results in the chapter on critical delays are derived for retarded DDEs as well as neutral DDEs with an arbitrary number of delays. The third and last part of this thesis is about perturbation results for nonlinear eigenvalue problems. We discuss some results in eigenvalue perturbation theory which can be generalized to nonlinear eigenvalue problems. A sensitivity formula for the movement of the eigenvalues extends nicely to nonlinear eigenvalue problems. We introduce a fixed point form for the nonlinear eigenvalue problem, and show that some methods in the literature can be interpreted as setvalued fixed point iterations. The convergence order of these types of iterations can be determined from an expression containing the left and right eigenvectors. We also use some results from fixed point theory. The famous result in perturbation theory referred to as the BauerFike theorem, can be generalized to the nonlinear eigenvalue problem if we assume that the setvalued fixed point problem has a certain contraction property. 
Robust control and observation of LPV TimeDelay Systems Corentin Briat (corentin.briat@gipsalab.inpg.fr / corentin@briat.info) Abstract: At the difference of finite dimensional systems, the derivation of design tools from stability results is more difficult in the framework of timedelay systems due to a larger number of decision matrices involved in the LMI conditions. This thesis is based on a particular LyapunovKrasovskii functional which leads to nonconvex conditions when used for design purposes. Several types of relaxations are discussed and a relaxation based on the introduction of 'slack' variables is considered. This 'oriented' relaxation has the benefit of simplifying the design problem at the expense of increasing (slightly) the conservatism and the computational complexity. Another advantage of this approach is the possibility of generalization to more complex functional such as discretized functionals, leading then to an efficient reduction of conservatism. Using these results, both memory and memoryless controllers/observers are developed and, more precisely, controllers implementing inexact delay are studied. A new type of controllers referred to as 'delayscheduled controllers' are also introduced. In such controllers, the matrix gains are scheduled by the delayvalue (as done in the LPV framework) and a robust synthesis with respect to delay uncertainty is performed. The interest of such an approach is to embed an information on the delay in the controller without any necessity of storing past values of the state (as done for controller with memory). The design of such controllers is a difficult problem which relies on several techniques that need to be improved in future works. 
Link to Issue 2
Link to Issue 3
Prepared by Rifat Sipahi, October 2010.