Title :
Input to State Stabilizing Controller for Systems With Coarse Quantization
Author :
Sharon, Yoav ; Liberzon, Daniel
Author_Institution :
Coordinated Sci. Lab., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fDate :
4/1/2012 12:00:00 AM
Abstract :
We consider the problem of achieving input-to-state stability (ISS) with respect to external disturbances for control systems with quantized measurements. Quantizers considered in this paper take finitely many values and have an adjustable “center” and “zoom” parameters. Both the full state feedback and the output feedback cases are considered. Similarly to previous techniques from the literature, our proposed controller switches repeatedly between “zooming out” and “zooming in.” However, here we use two modes to implement the “zooming in” phases, which allows us to attenuate an unknown disturbance while using the minimal number of quantization regions. Our analysis is trajectory-based and utilizes a cascade structure of the closed-loop hybrid system. We further show that our method is robust to modeling errors using a specially adapted small-gain theorem. The main results are developed for linear systems, but we also discuss their extension to nonlinear systems under appropriate assumptions.
Keywords :
cascade systems; closed loop systems; control system analysis; linear systems; quantisation (signal); stability; state feedback; cascade structure; closed loop hybrid system; coarse quantization; control system; external disturbance; input to state stability; linear systems; quantized measurement; state feedback; zooming in phase; zooming out phase; Asymptotic stability; Observers; Quantization; Sensors; Stability analysis; Switches; Disturbances; input-to-state stability (ISS); quantized systems; stability of hybrid systems;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2011.2166293