6533b837fe1ef96bd12a26c2

RESEARCH PRODUCT

Adaptive Control of Quantized Uncertain Nonlinear Systems

Wei WangJing Zhou

subject

0209 industrial biotechnologyAdaptive controlQuantization (signal processing)02 engineering and technologyLipschitz continuitySignalTracking errorNonlinear system020901 industrial engineering & automationTransformation (function)Control and Systems EngineeringControl theory0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingMathematics

description

Abstract This paper proposes a new adaptive controller for uncertain nonlinear systems in presence of quantized input signal and unknown external disturbance. A hysteresis quantizer is incorporated to reduce chattering phenomenon. By proposing a new transformation of the final control signal, using the sector-bound property of the quantizer and introducing a hyperbolic tangent function, the effects from input quantization and external disturbance are effectively compensated and the Lipschitz condition required for the nonlinear functions in the systems is removed. Besides showing global stability, tracking error performance is also established and can be adjusted by tuning certain design parameters. A numerical example is presented to demonstrate the effectiveness of the proposed adaptive control scheme.

https://doi.org/10.1016/j.ifacol.2017.08.1970