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Self-Triggered Robust Control of Nonlinear Stochastic Systems

  • Woihida Aggoune
  • Bernardino Castillo Toledo
  • Stefano Di GennaroEmail author
Chapter
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 457)

Abstract

In this chapter, results on self-triggering control for nonlinear systems are presented. Conditions guaranteeing the existence of a self-triggered control strategy stabilizing the closed-loop system are presented both for deterministic and stochastic nonlinear systems. The problems addressed are self-triggered stabilization and safety. In the stochastic case, the state equations are described by an Itô differential equation driven by a Wiener noise, where the input enters either in the deterministic dynamics or in the dynamics affected by the noise. This kind of model embraces a quite large class of systems, of particular interest since in practice. In fact, various disturbances can be modeled in this way.

Keywords

Equilibrium Point Wireless Sensor Network Infinitesimal Generator Nominal System Sampling Instant 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Woihida Aggoune
    • 1
  • Bernardino Castillo Toledo
    • 2
  • Stefano Di Gennaro
    • 3
    Email author
  1. 1.École Nationale Supérieure de l’Electronique et de ses ApplicationsCergy–PontoiseFrance
  2. 2.Centro de Investigación Y de Estudios Avanzados – CINVESTAV Del IPNUnidad GuadalajaraJaliscoMexico
  3. 3.Department of Information Engineering, Computer Science and Mathematics, Center of Excellence DEWSUniversity of L’AquilaL’AquilaItaly

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