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Sampled-Data Output Feedback Control for Nonlinear Uncertain Systems Using Predictor-Based Continuous-Discrete Observer
DOI:10.1109/TNNLS.2022.3157649.png)
摘要
En 中文
In this article, we investigate the problem of sampled-data robust output feedback control for a class of nonlinear uncertain systems with time-varying disturbance and measurement delay based on continuous-discrete observer. An augmented system that includes the nonlinear uncertain system and disturbance model is first found, and by using the delayed sampled-data output, we then propose a novel predictor-based continuous-discrete observer to estimate the unknown state and disturbance information. After that, in order to attenuate the undesirable influences of nonlinear uncertainties and disturbance, a sampled-data robust output feedback controller is developed based on disturbance/uncertainty estimation and attenuation technique. It shows that under the proposed control method, the states of overall hybrid nonlinear system can converge to a bounded region centered at the origin. The main benefit of the proposed control method is that in the presence of measurement delay, the influences of time-varying disturbance and nonlinear uncertainties can be effectively attenuated with the help of feedback domination method and prediction technique. Finally, the effectiveness of the proposed control method is demonstrated via the simulation results of a numerical example and a practical example.
Keyword:
Nonlinear systems
Delays
Uncertainty
Observers
Control systems
Output feedback
Time-varying systems
Disturbance
uncertainty estimation and attenuation (DUEA)
measurement delay
nonlinear uncertain system
predictor-based continuous-discrete observer
期刊
IF:
8.9
论文数:
7.6K
被引数:
7.2W
机构
引用论文
A framework for nonlinear sampled-data observer design via approximate discrete-time models and emulation通过近似离散时间模型和仿真进行非线性采样数据观测器设计的框架
AUTOMATICA
IF5.9
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ISA TRANSACTIONS
IF6.5

