6533b7dbfe1ef96bd12700e7
RESEARCH PRODUCT
Adaptive Asymptotically Tracking Control for Uncertain Strict-Feedback Nonlinear Systems with Input Quantization
Jiang LongJing ZhouWei Wangsubject
0209 industrial biotechnologyAdaptive controlComputer science020208 electrical & electronic engineering02 engineering and technologyNonlinear systemQuantization (physics)020901 industrial engineering & automationControl theoryBacksteppingStrict-feedback form0202 electrical engineering electronic engineering information engineeringUniform boundednessParametric statisticsdescription
In this paper, we investigate the output tracking control problem for a class of uncertain nonlinear systems in parametric strict feedback form with quantized input. A novel backstepping based adaptive quantized control scheme is proposed. Different from the existing results, the true quantization parameters are allowed to be unknown in the design of adaptive controller. It is shown that with the proposed control scheme, the system output can track the desired trajectory asymptotically and all the closed-loop signals are globally uniformly bounded.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2018-11-01 |