Further results on quantized stabilization of nonlinear cascaded systems with dynamic uncertainties

Science China Information Sciences volume 59, Article number: 072202 (2016) Cite this article

Abstract

This article studies the quantized partial-state feedback stabilization of a class of nonlinear cascaded systems with dynamic uncertainties. Under the assumption that the dynamic uncertainties are input-to-state practically stable, a novel recursive design method is developed for quantized stabilization by taking into account the influence of quantization and using the small-gain theorem. When the dynamic uncertainty is input-to-state stable, asymptotic stabilization can be achieved with the proposed quantized control law.

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Affiliations

  1. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, 110819, China

    Tengfei Liu & Zhong-Ping Jiang

  2. Department of Electrical and Computer Engineering, Polytechnic School of Engineering, New York University, Brooklyn, NY, 11201, USA

    Zhong-Ping Jiang

Authors
  1. Tengfei Liu
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  2. Zhong-Ping Jiang
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Correspondence to Tengfei Liu or Zhong-Ping Jiang.

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Liu, T., Jiang, ZP. Further results on quantized stabilization of nonlinear cascaded systems with dynamic uncertainties. Sci. China Inf. Sci. 59, 072202 (2016). https://doi.org/10.1007/s11432-016-5571-3

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Keywords

  • quantized control
  • nonlinear systems
  • dynamic uncertainties
  • asymptotic stabilization