6533b82afe1ef96bd128b8e3

RESEARCH PRODUCT

Adaptive Backstepping Control of Nonlinear Uncertain Systems With Quantized States

Changyun WenFan YangWei WangJing Zhou

subject

0209 industrial biotechnologyAdaptive controlComputer scienceQuantization (signal processing)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONUncertain systemsData_CODINGANDINFORMATIONTHEORY02 engineering and technologyComputer Science ApplicationsNonlinear systemHysteresisQuantization (physics)VDP::Teknologi: 500020901 industrial engineering & automationControl and Systems EngineeringControl theoryBounded functionBacksteppingElectrical and Electronic Engineering

description

This paper investigates the stabilization problem for uncertain nonlinear systems with quantized states. All states in the system are quantized by a static bounded quantizer, including uniform quantizer, hysteresis-uniform quantizer, and logarithmic-uniform quantizer as examples. An adaptive backstepping-based control algorithm, which can handle discontinuity, resulted from the state quantization and a new approach to stability analysis are developed by constructing a new compensation scheme for the effects of the state quantization. Besides showing the global ultimate boundedness of the system, the stabilization error performance is also established and can be improved by appropriately adjusting design parameters. Simulation results illustrate the effectiveness of our proposed scheme.

yearjournalcountryeditionlanguage
2019-11-01
10.1109/tac.2019.2906931https://hdl.handle.net/11250/2647924