LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Invariant set analysis for SISO discrete-time polynomial systems with dynamic quantizers: Invariant set analysis for SISO discrete-time polynomial systems with dynamic quantizers

Photo by jontyson from unsplash

This paper deals with the stability analysis problem of discrete‐time polynomial systems subject to input quantization. The quantizer under consideration is supposed to be dynamic. Indeed, considering the quantization error… Click to show full abstract

This paper deals with the stability analysis problem of discrete‐time polynomial systems subject to input quantization. The quantizer under consideration is supposed to be dynamic. Indeed, considering the quantization error as bounded disturbances, the regional input‐to‐state stability is studied. The approach developed consists in characterizing two nested invariant sets where the outer one is a region of attraction and the inner one is the robust invariant set with respect to the quantization error. By defining a performance index between the quantized system and the quantizer‐free system, a quasi‐convex problem is formulated to minimize an upper bound on such a performance index.

Keywords: discrete time; analysis; time polynomial; invariant set; polynomial systems

Journal Title: International Journal of Robust and Nonlinear Control
Year Published: 2018

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.