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- research-articleNovember 2023
Parameter self‐learning feedforward compensation‐based active disturbance rejection for path‐following control of self‐driving forklift trucks
Asian Journal of Control (ASJC), Volume 25, Issue 6Pages 4435–4451https://doi.org/10.1002/asjc.3110AbstractIn this paper, for self‐driving forklift, a path‐following framework based on composite disturbance rejection that combines a cascaded active disturbance rejection controller and an online estimator of model parameters is proposed on the basis ...
- rapid-communicationJuly 2023
On consistency and stability of distributed Kalman filter under mismatched noise covariance and uncertain dynamics
Automatica (Journal of IFAC) (AJIF), Volume 153, Issue Chttps://doi.org/10.1016/j.automatica.2023.111022AbstractThis paper considers the state estimation problem for a class of discrete-time linear time-varying systems over a peer-to-peer sensor network under mismatched noise covariance and uncertain dynamics. To deal with the inconsistency and instability ...
- research-articleSeptember 2021
An overview on recent progress of extended state observers for uncertain systems: Methods, theory, and applications
Advanced Control for Applications (ADC2), Volume 3, Issue 2https://doi.org/10.1002/adc2.89AbstractExtended state observer (ESO) is featured with online estimating both the system's states and the total effect of external disturbance as well as nonlinear uncertain dynamics. The original ESO design, proposed for the cascade‐of‐integrator ...
- ArticleJuly 2021
Research on Efficient Image Inpainting Algorithm Based on Deep Learning
Artificial Intelligence and SecurityPages 109–120https://doi.org/10.1007/978-3-030-78609-0_10AbstractThe rapid development of deep learning has brought a new development direction for image inpainting, changing the traditional image inpaiting algorithm, which can only repair the problem of small area damage based on the structure and texture of ...
- research-articleOctober 2020
Asymptotic efficiency and probabilistic error bound for maximum likelihood‐based identification of finite impulse response systems with binary‐valued observations and unreliable communications
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 34, Issue 10Pages 1483–1500https://doi.org/10.1002/acs.3164SummaryThis article addresses the identification of finite impulse response systems with binary‐valued observations under packet losses and transmission errors. First, the maximum likelihood function of the available data sequence is derived, based on ...
- research-articleDecember 2019
On Active Disturbance Rejection Based Path Following Control for Unmanned Roller
2019 IEEE 58th Conference on Decision and Control (CDC)Pages 4791–4796https://doi.org/10.1109/CDC40024.2019.9029669This paper considers the path following control problem for the unmanned roller which is constituted of front body and rear body. Compared with the conventional passenger vehicles, the control input for path following of unmanned roller is the articulated ...
- research-articleOctober 2016
On extended state predictor observer based active disturbance rejection control for uncertain systems with sensor delay
2016 16th International Conference on Control, Automation and Systems (ICCAS)Pages 1267–1271https://doi.org/10.1109/ICCAS.2016.7832475This paper considers the control problem for a class of sensor delay systems with nonlinear unknown dynamics and external disturbances. The extended state predictor observer (ESPO) based active disturbance rejection control (ADRC) is first proposed to ...
- ArticleMarch 2011