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642:613 Rutgers - Fall 2003 Instructor: Eduardo D. Sontag Sections 2.3-2.5, Membrane Di usion & Transport http://www.math.rutgers.edu/ sontag/613.html Ohm s law for di usion suppose on opposite sides of membrane have chemical at constant concentrations ce and ci ( external and internal ) and membrane has thickness L no6 ux c(0, t) ce ct = D 2 c c(L, t) ci x=0 no? ux x=L (membrane drawn horizontally) assuming no di usion along membrane itself, so model as 1-d problem (same math as adding Neumann conds) could nd time-dependent solution, given initial conds (using separation of variables), but just steady-state here: x c = 0 line; and boundary conds c(x) = ce +(ci ce) L L so J = Dc = D (ce ci) (constant), or ce ci = J D L analogous to Ohm s law V = IR (potential di erence proportional to di erence of charges & ux=current) facilitated di usion: myoglobin (from Protein Data Bank, PDB, http://www.rcsb.org/pdb/molecules/mb3.html) myoglobin is where the science of protein structure really began. . . John Kendrew and his coworkers determined the atomic structure of myoglobin, laying the foundation for an era of biological understanding The iron atom at the center of the heme group holds the oxygen molecule tightly. Compare the two pictures. The rst shows only a set of thin tubes to represent the protein chain, and the oxygen is easily seen. But when all of the atoms in the protein are shown in the second picture, the oxygen disappears, buried inside the protein. So how does the oxygen get in and out, if it is totally surrounded by protein? In reality, myoglobin (and all other proteins) are constantly in motion, performing small exing and breathing motions. Temporary openings constantly appear and disappear, allowing oxygen in and out. The structure in the PDB is merely one snapshot of the protein, caught when it is in a tightly-closed form facilitated di usion when a reaction facilitates di usion; example: oxygen in muscle bers binds to myoglobin oxymyoglobin which results in enhanced transport seems counterintuitive because Mb much larger than O (500 times larger), so di uses slower! model will show enhancement; later, we ll interpret s(0, t) s0 s = O2, e = M b, c = M bO2 s(L, 0) sL s0 x=0 O2 + M b M bO2 k k+ x=L s t e t c t = Ds = De = Dc 2s x2 2e x2 2c x2 + k c k+se + k c k+se k c + k+se (and assume: De = Dc) assume also zero- ux of Mb & MbO2 at boundary i.e., e c = 0 at x = 0, L x x if you have never thought of such boundary conditions, you may wish to interpret them as follows: think of a narrow strip (of very small width ): most particles bounce back far into region, so the net ux at x = L is 0 steady-state analysis: Dssxx + k c k+se = Dcexx + k c k+se = Dccxx k c + k+se = 0 (e + c)xx 0 (linear) & (e + c)x 0 at e + c e0 also, (Dssx + Dccx)x = Dssxx + Dccxx = 0 means that Dssx + Dccx = constant, call it J because it is the sum of the two uxes, i.e. it is the total ux of oxygen (bound or not) integrate: f = J f (0) f (L) = J L, so: J = Ds (s0 sL) + Dc (c0 cL) (where we know s0, sL but not c0, cL) we had: Dssxx + k c k+s(e0 c) = Dccxx k c + k+s(e0 c) = 0 now let = (k+/k )s, u = c/e0, x = Ly, 1 = Ds/(e0k+L2) 10 7, 2 = Dc/(k L2) 10 4 1 yy = (1 u) u = 2uyy so quasi-steady state approx c = e0 s K+s (K=k /k+) now substitute into J = Ds (s0 sL) + Dc (c0 cL) to get: Ds K2 J= (1 + ) (s0 sL) ( = Dce0 , = (s0+K)(sL+K) ) Ds K L expression for ux J Ohm s Law ; factor 1 + enhances e.g. 500 now substitute expression for J , & c as function of s (q-s-s), into Dssx + Dccx = J ; next integrate from 0 to x (any x, not just L), & get soln for s (or ) see book for details) interpretations may also write: Ds Dc sL s0 J= (s0 sL) + e0 L L K + s0 K + sL (second term > 0 since s/(K + s) is increasing) and this exhibits ux as sum of Ohm term plus term that depends on di usion constant Dc one intuition: by binding to Mb, there would be less free O2 near left but end boundary conditions say that one has s0 there so more must ow in (di usion tends to equalize!) while at other end, opposite happens, and more ows out a related example: muscle respiration consider problem of getting O2 to center of muscle muscle ber thought of as cylinder 0 r a radial di usion, ignoring longitudinal di usion now recall Laplacian in polar coordinates, 2-dim case: write f (r, , t) = c(r cos , r sin , t); then (some calculus): +2 r r r 2 (all terms on the RHS evaluated at r, , t) so Laplacian for radially symmetric c (write f as c ): D c r r r r r 2 (for spherically symmetric c in 3-d, 1 r 2 r c r 2 r ) ( 2c)(r cos , r sin , t) = 2f + 1 f 1 2f so steady-state equation (same variables as before): Ds s r + k c k+se g = 0 r r r Dc c r k c + k+se = 0 r r r where g = constant consumption of oxygen in muscle we impose boundary conditions: dc ds dc s(a) = sa, (a) = 0, (0) = 0, (0) = 0 dr dr dr (at r = 0: if continuing in same direction, even function, so derivative zero at that point, or think of small circle around zero: balance of ows in/out is zero) with 1 = Ds/(e0k+a2), 2 = Dc/(k a2), = g/k , = (k+/k )s, u = c/e0, r = ay, y ( 1 + 2u)y y = y so integrate: y( 1 + 2u)y = A + y 2/2 ( 1 + 2u)y = A/y + y/2, and integrate again: 1 + 2u = A ln y + y 2/4 + B but soln not well-de ned at y = 0 unless A = 0, so A = 0 at boundary y = 1: 1 (1) + 2u(1) = /4 + B what (1) = 1 is so that s(0)=u(0)=0 ( just enough O2)? evaluate above at zero B = 0 too, so, using also 1 1 y y y = (1 u) u y and q-s-s approx, substitute u as function of to obtain: 1 1 + = 1 + 1 4 1 where = 2/ 1, so can solve for 1( ) ( consumption g) note that it is an increasing function Mb helps diminish the minimal concentration 1 needed to prevent oxygen debt (concentration at center falls to 0) 1 2 so plot of 1 vs 4 1 = Ds/(e0k+a2) small if k+ (binding constant) large, = Dc/(k a2) large if k small (unbinding), large if high a nity Uniport, e.g. Glucose Transport Si (Se) = glucose inside (external), Ci (Ce) = carrier protein, open to inside (external), Pi (Pe) = complex, open to inside (external) Si + Ci Pi k k+ Se + Ce Pe k k+ Pi Pe Ci Ce k k k k assume also that Se and Si 0 (constant supply rate outside & removal rate inside) si = k pi k+sici Ji se = k pe k+sece + Je pi = kpe kpi + k+sici k pi pe = kpi kpe + k+sece k pe ci = kce kci k+sici + k pi ce = kci kce k+sece + k pe at steady state: 0 = d/dt(si + se + pi + pe) = Je Ji, so Ji = Je = J note that pi + pe + ci + ce = total amount of receptors c0 use rhs s for se, pi, pe, ci plus pi + pe + ci + ce = c0 to solve for J in terms of se, si (seen as parameters when solving for rest) se si J = ac0 (si + K1)(se + K2) K3 for suitable constants (see book) J1 J2 horiz axis se, vertical J , di erent si s (non-dimensionalized) variations: symport in which two go in simultaneously sodium outside cell is high compared to inside (due to Na/K pump) so gradient provides energy for transport (but no additonal energy required) or antiport, where exchange inside/outside e.g. symport: when both sodium and glucose are attached, conformational change in protein molecule happens, and both are transported to inside cell http://jimswan.com/237/channels/channel graphics.htm (skip equations - similar to uniport, but exponents appear, as in cooperativity) active transport: e.g.: electrogenic Na+-K+ pump three sites for Na+ attachment on inside surface of carrier, and two for K+ outside ATPase on intracellular surface hydrolyzes ATP, releasing energy that causes carrier conformational change this pumps the 3 Na+ ions out and then potassium attaches and 2 K+ ions are pumped in http://jimswan.com/237/channels/channel graphics.htm on balance, more + s pumped out, but on the other hand negative (other) ions are not permeable - this creates a polarization accross the membrane see book for details (skipping - no time. . . )
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Rutgers >> 642 >> 613 (Fall, 2008)
arXiv:0705.3188v1 [q-bio.QM] 22 May 2007 A Passivity-Based Stability Criterion for a Class of Interconnected Systems and Applications to Biochemical Reaction Networks Murat Arcak Department of Electrical, Computer, and Systems Engineering Rensselaer...
Rutgers >> 642 >> 613 (Fall, 2008)
Attractors under perturbation and discretization Lars Grune Fachbereich Mathematik J.W. Goethe-Universitat Postfach 11 19 32 60054 Frankfurt a.M., Germany gruene@math.uni-frankfurt.de essary and su cient condition for the convergence of attractors ...
Rutgers >> 642 >> 613 (Fall, 2008)
CDC00-REG1099 Global Con guration Stabilization for the VTOL Aircraft with Strong Input Coupling Reza Olfati-Saber LIDS, MIT 35-409 77 Massachusetts Ave. Cambridge, MA 02139 olfati@mit.edu Abstract Trajectory tracking and con guration stabilization...
Rutgers >> 642 >> 613 (Fall, 2008)
Some new directions in control theory inspired by systems biology E.D. Sontag Abstract: This paper, addressed primarily to engineers and mathematicians with an interest in control theory, argues that entirely new theoretical problems arise naturally ...
Rutgers >> 642 >> 613 (Fall, 2008)
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Rutgers >> 642 >> 613 (Fall, 2008)
Proceedings of the 42nd IEEE Conference on Decision and Control Maui, Hawaii USA, December 2003 ThM02-1 Results on Converse Lyapunov Theorems for Dierence Inclusions Christopher M. Kelletta a 1 and Andrew R. Teelb 2 Department of Electrical and...
Rutgers >> 642 >> 613 (Fall, 2008)
Nonlinear observability and an invariance principle for switched systems Joo P. Hespanha a Dept. of Electr. & Comp. Eng. Univ. of California, Santa Barbara hespanha@ece.ucsb.edu Daniel Liberzon Coordinated Science Lab. Univ. of Illinois, Urbana-Cham...
Rutgers >> 642 >> 613 (Fall, 2008)
Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics Thomas Natschl ger & Wolfgang Maass a Institute for Theoretical Computer Science Technische Universit t Graz, Austria a tnatschl,maass @igi.tu-graz.ac.at Edu...
Rutgers >> 642 >> 613 (Fall, 2008)
Proceedings of the 42nd IEEE Conference on Decision and Control Maui, Hawaii USA, December 2003 FrA07-3 Moving Horizon Monte Carlo State Estimation for Linear Systems with Output Quantization Hernan Haimovich, Graham C. Goodwin and Daniel E. Queved...
Rutgers >> 642 >> 613 (Fall, 2008)
INPUT-TO-STATE STABILITY FOR DISCRETE-TIME NONLINEAR SYSTEMS Zhong-Ping Jiang Eduardo Sontag ,1 Yuan Wang ,2 Department of Electrical Engineering, Polytechnic University, Six Metrotech Center, Brooklyn, NY 11201. Department of Mathematics, Rutger...
Rutgers >> 642 >> 613 (Fall, 2008)
Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference 2005 Seville, Spain, December 12-15, 2005 ThA02.3 On the Observer Problem for Discrete-Time Control Systems Iasson Karafyllis and Costas Kravaris r...
Rutgers >> 642 >> 613 (Fall, 2008)
Randomized Approximation Algorithms for Set Multicover Problems with Applications to Reverse Engineering of Protein and Gene Networks Piotr Berman Bhaskar DasGupta August 10, 2006 Eduardo Sontag Abstract In this paper we investigate the computationa...
Rutgers >> 642 >> 613 (Fall, 2008)
arXiv:math.OC/0205017 v1 2 May 2002 Singular trajectories in multi-input time-optimal problems: Application to controlled mechanical systems M. Chyba Dept. of Mathematics 379 Applied Sciences Building University of Santa Cruz CA 95064 N.E. Leonard D...
Rutgers >> 642 >> 613 (Fall, 2008)
Available online at www.sciencedirect.com Systems , Eduardo D. Sontagb;1 a Dipartimento di Sistemi e Informatica...
Rutgers >> 642 >> 613 (Fall, 2008)
Input to State Stability: Basic Concepts and Results Eduardo D. Sontag1 Rutgers University, New Brunswick, NJ, USA sontag@math.rutgers.edu 1 Introduction The analysis and design of nonlinear feedback systems has recently undergone an exceptionally r...
Rutgers >> 642 >> 613 (Fall, 2008)
Review of Multidimensional Systems Theory, N.K.Bose, ed. by Eduardo D. Sontag, Dept.of Mathematics, Rutgers University, New Brunswick, NJ 08903. The Area Few parts of application-oriented mathematics have beneted from the interaction with modern alge...
Rutgers >> 642 >> 613 (Fall, 2008)
Proceedings of the 42nd IEEE Conference on Decision and Control Maui, Hawaii USA, December 2003 WeP02-5 Controllability of Hamiltonian Systems with Drift: Action-Angle Variables and Ergodic Partition Igor Mezi c Department of Mechanical and Environ...
Rutgers >> 642 >> 613 (Fall, 2008)
...
Rutgers >> 642 >> 613 (Fall, 2008)
Errata to: Eduardo D. Sontag Universal nonsingular controls Systems and Control Letters 19 (1992): 221-224. The last paragraph of this paper consists of a remark sketching how to derive, in an alternative way, one of the main steps in the proof of a...
Rutgers >> 642 >> 613 (Fall, 2008)
A General Result on the Stabilization of Linear Systems Using Bounded Controls1 Hctor J. Sussmann, Eduardo D. Sontag, and Yudi Yang e SYCON - Rutgers Center for Systems and Control Department of Mathematics, Rutgers University, New Brunswick, NJ 0890...
Rutgers >> 642 >> 613 (Fall, 2008)
Proceedings of the 42nd IEEE Conference on Decision and Control Maui, Hawaii USA, December 2003 WeA02-3 A Matrosov theorem with an application to Model Reference Adaptive Control via approximate discrete-time models Dragan Nei1 and Andrew R. Teel2 ...
Rutgers >> 642 >> 613 (Fall, 2008)
1028 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 46, NO. 7, JULY 2001 Structure and Stability of Certain Chemical Networks and Applications to the Kinetic Proofreading Model of T-Cell Receptor Signal Transduction Eduardo D. Sontag, Fellow, IEEE Ab...
Rutgers >> 642 >> 613 (Fall, 2008)
342 IEEE TltANSA(;TIONS ON CIIWUITS AND SYSTEMS, VOL. ~-26, NO. 4, APRIL 1979 variables in linear active networks, Circ. T/L and Appt., vol. 4, pp. 87-92, 1976. W I W. Mayeda, Graph Z+eoty. New York: W iley, 1972. On the axiomatic foundation...
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Proceedings of the 46th IEEE Conference on Decision and Control New Orleans, LA, USA, Dec. 12-14, 2007 FrB14.2 Further Results on Input/Output Stability of Switched Systems J.L. Mancilla-Aguilar and R.A. Garca Nevertheless the model (2) is not gen...
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SYSTEMS BIOLOGY: A USERS GUIDE REVIEW Physicochemical modelling of cell signalling pathways Bree B. Aldridge, John M. Burke, Douglas A. Lauffenburger and Peter K. Sorger Physicochemical modelling of signal transduction links fundamental chemical an...
Rutgers >> 642 >> 613 (Fall, 2008)
Interconnected Automata and Linear Systems: A Theoretical Framework in Discrete-Time Eduardo D. Sontag Department of Mathematics Rutgers University New Brunswick, NJ 08903, USA sontag@control.rutgers.edu Abstract. This paper summarizes the denitions...
Rutgers >> 642 >> 613 (Fall, 2008)
Proceedings of the 46th IEEE Conference on Decision and Control New Orleans, LA, USA, Dec. 12-14, 2007 WeA13.4 Output feedback stabilisation of a class of nonlinear systems via reduced-order observers and certainty equivalence Dimitrios Karagiannis...
Rutgers >> 642 >> 613 (Fall, 2008)
Systems 1 , Yuan Wangb;2 b Department a Department of Mathematics, Rutgers University, New Brunswick, NJ 08903, USA of Ma...
Rutgers >> 642 >> 613 (Fall, 2008)
BBC NEWS | Science/Nature | US pair share Nobel chemistry prize http:/news.bbc.co.uk/2/hi/science/nature/3174062.stm NEWS SPORT WEATHER WORLD SERVICE A-Z INDEX SEARCH Low Graphics version | Change edition Feedback | Help News Front Page La...
Rutgers >> 642 >> 613 (Fall, 2008)
Math 338, Problem Assignments, Spring 2008 Week 9 1. Exercise 5.1. (Page 14.) 2. Exercise 5.2. (Page 15.) 3. Use the transition probabilities of Exercise 5.4, but answer these questions instead: (a) Write down the probability transition matrix for th...
Rutgers >> 642 >> 613 (Fall, 2008)
warning: this is a draft of notes to be continuously revised! tentative plan for rst few weeks: Rutgers 642:613 - Fall 2003 Instructor: Eduardo D. Sontag Text: Keener & Sneyd, Mathematical Physiology basic biochemical (including enzymatic) reactio...
Rutgers >> 642 >> 613 (Fall, 2008)
...
Rutgers >> 642 >> 613 (Fall, 2008)
Available online at www.sciencedirect.com Systems 1 , Eduardo Sontagb;2 , Murat Arcakc;3 SYSTeMS, Ghent University, Technologiepark 91...
Rutgers >> 642 >> 613 (Fall, 2008)
Proc. 1993 IEEE Conf. on Aerospace Control Systems, Thousand Oaks, CA, May 1993, pp. 289-293 STABILIZATION WITH SATURATED ACTUATORS, A WORKED EXAMPLE:F-8 LONGITUDINAL FLIGHT CONTROL Yudi Yang, Eduardo D. Sontag SYCON - Rutgers Center for Systems and...
Rutgers >> 642 >> 613 (Fall, 2008)
Proceedings of the 46th IEEE Conference on Decision and Control New Orleans, LA, USA, Dec. 12-14, 2007 ThC02.1 A unied approach to controller design for systems with quantization and time scheduling sc Dragan Nei and Daniel Liberzon Abstract We gen...
Rutgers >> 642 >> 613 (Fall, 2008)
Proceedings of the 40th IEEE Conference on Decision and Control Orlando, Florida USA, December 2001 TuM12-2 A notion of passivity for hybrid systems Milo Zefran s Electrical and Computer Engineering U. of Illinois at Chicago Francesco Bullo Coordin...
Rutgers >> 642 >> 613 (Fall, 2008)
ABSTRACT This paper describes how notions of input-to-state stabilization are useful when stabilizing cascades of systems. 1 Introduction x = f (x, y) y = g(y, u) Consider a cascade as follows: (CAS) where f and g are smooth, x and y evolve in ...
Rutgers >> 642 >> 613 (Fall, 2008)
Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference 2005 Seville, Spain, December 12-15, 2005 ThB01.4 Dissipativity Theory for Switched Systems Jun Zhao and David J. Hill Abstract A frame work of di...
Rutgers >> 642 >> 613 (Fall, 2008)
insight review articles Control, exploitation and tolerance of intracellular noise Christopher V. Rao*, Denise M. Wolf & Adam P. Arkin* Departments of Bioengineering* and Chemistry, University of California, and Physical Biosciences Division, Lawren...
Rutgers >> 642 >> 613 (Fall, 2008)
Noncausal robust set-point regulation of nonminimum-phase scalar systems 1 Aurelio Piazzi{ { Antonio Visiolix x Dipartimento di Ingegneria dell\'Informazione University of Parma - Italy e-mail: aurelio@ce.unipr.it Abstract Dipartimento di Elettroni...
Rutgers >> 642 >> 613 (Fall, 2008)
Theoretical Computer Science 262 (2001) 161189 www.elsevier.com/locate/tcs A polynomial-time algorithm for checking equivalence under certain semiring congruences motivated by the state-space isomorphism problem for hybrid systems Bhaskar DasGuptaa...
Rutgers >> 642 >> 613 (Fall, 2008)
Proceedings of the 42nd IEEE Conference on Decision and Control Maui, Hawaii USA, December 2003 FrP02-2 Finite Gain lp Stabilization of Discrete-Time Linear Systems Subject to Actuator Saturation: the Case of p = 1 Yacine Chitour Zongli Lin ...
Rutgers >> 642 >> 613 (Fall, 2008)
...
Rutgers >> 642 >> 613 (Fall, 2008)
Maximum Output Amplitude of Linear Systems for certain Input Constraints1 Wolfgang Reinelt Dept of Electrical Engineering, Linkping University, 581 83 Linkping, Sweden. o o wolle@isy.liu.se, http:/www.control.isy.liu.se/~wolle Abstract We determine t...
Rutgers >> 642 >> 613 (Fall, 2008)
...
Rutgers >> 642 >> 613 (Fall, 2008)
Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference 2005 Seville, Spain, December 12-15, 2005 ThB17.1 Disturbance Attenuation for Linear Systems Subject to Actuator Saturation using Output Feedback F...
Rutgers >> 642 >> 613 (Fall, 2008)
...
Rutgers >> 642 >> 613 (Fall, 2008)
Proceedings of the 42nd IEEE Conference on Decision and Control Maui, Hawaii USA, December 2003 ThP10-1 Further results on global stabilization for multiple integrators with bounded controls Nicolas Marchand Laboratoire dAutomatique de Grenoble, IN...
Rutgers >> 642 >> 613 (Fall, 2008)
43rd IEEE Conference on Decision and Control December 14-17, 2004 Atlantis, Paradise Island, Bahamas FrC13.6 Stabilizing linear systems with saturation through optimal control Rafal Goebel Abstract We construct a continuous feedback for a saturate...
Rutgers >> 642 >> 613 (Fall, 2008)
Report SYCON-89-03 A UNIVERSAL CONSTRUCTION OF ARTSTEINS THEOREM ON NONLINEAR STABILIZATION 1 Eduardo D. Sontag2 Department of Mathematics Rutgers University, New Brunswick, NJ 08903 (201)932-3072 E-mail: sontag@fermat.rutgers.edu or sontag@pisces....
Rutgers >> 642 >> 613 (Fall, 2008)
Molecular Systems Biology and Control Eduardo D. Sontag Department of Mathematics and BioMaPS Institute for Quantitative Biology Rutgers University, New Brunswick, NJ 08903, USA E-mail: sontag@math.rutgers.edu Abstract This paper, prepared for a tut...
Rutgers >> 642 >> 613 (Fall, 2008)
Proceedings of the 45th IEEE Conference on Decision & Control Manchester Grand Hyatt Hotel San Diego, CA, USA, December 13-15, 2006 ThA01.6 On the asymptotic behavior of a cyclic biochemical system with delay German A. Enciso Abstract The study of...
Rutgers >> 642 >> 613 (Fall, 2008)
Journal of Mathematical Chemistry, Vol. 41, No. 3, April 2007 ( 2006) DOI: 10.1007/s10910-006-9075-z Monotone chemical reaction networks Patrick De Leenheer Department of Mathematics, University of Florida, 411 Little Hall, PO Box 118105, Gainesvill...
Rutgers >> 642 >> 613 (Fall, 2008)
VC Dimension of Neural Networks Eduardo D. Sontag Department of Mathematics, Rutgers, The State University of New Jersey Abstract. This paper presents a brief introduction to Vapnik-Chervonenkis (VC) dimension, a quantity which characterizes the dicu...
Rutgers >> 642 >> 613 (Fall, 2008)
43rd IEEE Conference on Decision and Control December 14-17, 2004 Atlantis, Paradise Island, Bahamas ThB07.4 On the Relationships Between Induced -Gain and Various Notions of Dissipativity Randy A. Freeman We begin with some notation in Section II ...
Rutgers >> 642 >> 613 (Fall, 2008)
Proceedings of the 45th IEEE Conference on Decision & Control Manchester Grand Hyatt Hotel San Diego, CA, USA, December 13-15, 2006 FrIP8.7 Discrete-time stabilization of integrators in cascade: Real-time stabilization of a mini-rotorcraft Rogelio ...
Rutgers >> 642 >> 613 (Fall, 2008)
Sontag Honored in San Diego with SIAMs Reid Prize http:/www.siam.org/siamnews/07-01/sontag.htm Sontag Honored in San Diego with SIAMs Reid Prize On July 11, at the combined SIAM annual meeting and control conference in San Diego, Eduardo Sontag of ...
Rutgers >> 642 >> 613 (Fall, 2008)
Auditory sensitivity provided by self-tuned critical oscillations of hair cells Sbastien Camalet , Thomas Duke , Frank J licher and Jacques Prost e u Institut Curie, PhysicoChimie Curie, UMR CNRS/IC 168, 26 rue dUlm, 75248 Paris Cedex 05, France Nie...
Rutgers >> 642 >> 613 (Fall, 2008)
Any domain of attraction for a linear constrained system is a tracking domain of attraction Franco Blanchini , Stefano Miani , Dipartimento di Matematica ed Informatica Dipartimento di Ingegneria Elettrica, Gestionale e Meccanica Universit` degli S...
Rutgers >> 642 >> 613 (Fall, 2008)
Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference 2005 Seville, Spain, December 12-15, 2005 WeB09.5 Adaptive Receding Horizon Control of Tubular Bioreactors J.M. Igreja, J. M. Lemos and R. N. Silva...
Rutgers >> 642 >> 613 (Fall, 2008)
State-Estimators for Chemical Reaction Networks of Feinberg-Horn-Jackson Zero Deciency Type Madalena Chaves Eduardo D. Sontag Department of Mathematics Rutgers University New Brunswick, NJ 08903 E-mail: {madalena,sontag}@math.rutgers.edu Abstract Th...
Rutgers >> 642 >> 613 (Fall, 2008)
Proceedings of the 45th IEEE Conference on Decision & Control Manchester Grand Hyatt Hotel San Diego, CA, USA, December 13-15, 2006 ThIP2.2 On nonlinear sampling inversion S. Monaco and D. Normand-Cyrot Dipartimento di Informatica e Sistemist...
Rutgers >> 642 >> 613 (Fall, 2008)
Proceedings of the 40th IEEE Conference on Decision and Control Orlando, Florida USA, December 2001 ThA10-6 ...
Rutgers >> 642 >> 613 (Fall, 2008)
Proceedings of the 45th IEEE Conference on Decision & Control Manchester Grand Hyatt Hotel San Diego, CA, USA, December 13-15, 2006 WeA10.3 On the Robust Stability of Unforced Nonlinear Systems Vahid Zahedzadeh, Horacio J. Marquez, and Tongwen Chen...
Rutgers >> 642 >> 613 (Fall, 2008)
Systems ; 1 , Eduardo D. Sontagb; 2 , Yuan Wangc; 3 a Coordinated...
Rutgers >> 642 >> 613 (Fall, 2008)
Proceedings of the 45th IEEE Conference on Decision & Control Manchester Grand Hyatt Hotel San Diego, CA, USA, December 13-15, 2006 FrIP1.2 Nonlinear control for systems with bounded inputs: Real-time embedded control applied to UAVs Farid Kendoul,...
Rutgers >> 642 >> 613 (Fall, 2008)
Report SYCON-88-02 SOME REMARKS ON THE BACKPROPOGATION ALGORITHM FOR NEURAL NET LEARNING Eduardo D. Sontag Department of Mathematics Rutgers University New Brunswick, NJ 08903 (201)932-3072 sontag@fermat.rutgers.edu ABSTRACT This report contains s...
Rutgers >> 642 >> 613 (Fall, 2008)
Rutgers 642:613 - Fall 2003 Instructor: Eduardo D. Sontag Conservation Laws and Diusion Reaction-Diusion Equations let c(x, t) be the density of a chemical around a point x = (x1, x2, x3) in space, at time t consider a region S and let CS (t) be the...
Rutgers >> 642 >> 613 (Fall, 2008)
Proceedings of the 46th IEEE Conference on Decision and Control New Orleans, LA, USA, Dec. 12-14, 2007 FrC17.4 Towards uniform linear time-invariant stabilization of systems with persistency of excitation Antoine Chaillet, Yacine Chitour, Antonio L...
Rutgers >> 642 >> 613 (Fall, 2008)
(a) Show that c and x1 nullclines have the form dc = k1rc + (k 1 + k1c) x1 dt (7) Equations can be studied by phase-plane methods. dx1 = k1rc (k 1 + k 2 + k1c) x1 dt c = 0 when x1 = Kc Kc x = 0 when x1 = a+c b+c Identify K, a, and b in terms of t...
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