Practical Sample-and-Hold Stabilization of Nonlinear Systems under Approximate Optimizers

Pavel Osinenko, Lukas Beckenbach, Stefan Streif

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


It is a known fact that not all controllable systems can be asymptotically stabilized by a continuous static feedback. Several approaches have been developed throughout the last decades, including time-varying, dynamical and even discontinuous feedbacks. In the latter case, the sample-and-hold framework is widely used, in which the control input is held constant during sampling periods. Consequently, only practical stability can be achieved at best. Existing approaches often require solving optimization problems for finding stabilizing control actions exactly. In practice, each optimization routine has a finite accuracy which might influence the state convergence. This letter shows, what bounds on optimization accuracy are required to achieve prescribed stability margins. Simulation studies support the claim that optimization accuracy has high influence on the state convergence.

Original languageEnglish
Pages (from-to)569-574
Number of pages6
JournalIEEE Control Systems Letters
Issue number4
Publication statusPublished - Oct 2018
Externally publishedYes


  • optimization
  • Stability of nonlinear systems


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