PPT-1 Monotone Dynamical Systems: an Introduction

Michael Margaliot School of Electrical Engineering Tel Aviv University Israel Why Study Monotone Systems An easy to check sufficient condition for monotonicity 2 Monotonicity implies strong global results . L Smith ASU Monotone Dynamical Systems Sontagfest May 23 2011 1 16 brPage 2br Monotone Dynamical System State space metric space with a closed partial order relation Dynamics discretetime or continuoustime semi64258ow 934 Notation 934 conti Dr Rupert Lasser Center for Mathematical Sciences Technische Universit57512at M unchen sina straubwebde Chair of Biomathematics Abstract Monotone dynamical systems which are dynamical systems on an or dered metric space having the property that orde Lu J, L Sun, Y Wu, and G Chen. 2014. “The Role of Subtropical Irreversible PV Mixing in the Zonal Mean Circulation Response to Global Warming-Like Thermal Forcing.” . Journal of Climate, . early online. DOI:10.1175/JCLI-D-13-00372.1.. Mixed Logical Dynamical Systems Outline Mixed Logical Dynamical Systems (MLD) Piecewise Affine Systems (PWA) Optimal Control for MLD Model predictive Control (MPC) Model Predictive Control For MLD Mix Introduction to . Nuclear Inelastic Scattering. Aleksandr Chumakov. European Synchrotron Radiation . Facility. HSC17: Dynamical properties investigated by neutrons and synchrotron X-rays, 16 Sept. 2014. Electroproductions. : Status and Plans. Hiroyuki Kamano. Research Center for Nuclear Physics (RCNP). Osaka University. EmNN. *2012 Workshop @ USC, USA, August 13-15, 2012. Outline. 1. . Background and motivation for N* spectroscopy. guide. . star. AO . with. . dynamical. . refocus. Sebastian . Rabien. , . Fernando . Quiros-Pacheco. , . Enrico . Pinna. , . Lorenzo Busoni, Simone . Esposito. ELT‘s. …. Multiple . sodium. . Analysis . Section. , CGD, NCAR, USA. Detection. . and. . attribution. . of. extreme . temperature. . and. . drought. . using. an . analogue-based. . dynamical. . adjustment. . technique. ICM. , Paris, . France. ETH, Zurich, Switzerland. Dynamic. Causal . Modelling. of . fMRI. . timeseries. . Overview. 1 DCM: introduction. 2 Dynamical systems theory. 4 Bayesian inference. . 5 Conclusion. Siwei. . Liu. 1,. Yang Zhou. 1. , Richard Palumbo. 2. , & Jane-Ling Wang. 1. 1. UC Davis; . 2. University of Rhode Island. Motivating Study. Physiological synchrony between romantic partners during nonverbal conditions. 전진우. 손명. 배. Art Gallery Problem. Want to cover all areas. Assume that the art gallery. is a . simple polygon. Does not intersect itself. How many cameras do we need?. Where do we put it?. Rocco Servedio. Columbia University. St. Petersburg, Russia. May 2016. Two small-depth-circuit . lower bounds. Rocco Servedio. Columbia University. St. Petersburg, Russia. May 2016. The goal of circuit complexity. Symmetry Breaking. Craig Roberts. Physics Division. Q. C. D. ’s Challenges. Dynamical . Chiral. Symmetry Breaking. Very unnatural pattern of bound state masses; . . e.g., . Lagrangian. (. pQCD. Mooly. . Sagiv. Textbook: . Principles of Program Analysis. Chapter . 4, Appendix A. CC79, CC92. Content. Mathematical Background. Chaotic Iterations. Examples. Soundness, Precision and more . examples next week .