Bo Qin, Huaicheng Yan, Yifan Shi, Yufang Chang, Youmin Zhang
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引用次数: 0
Abstract
This paper aims for precise tracking with disturbance rejection and low energy consumption. An event-triggered controller based on a sampled-data enhanced extended state observer (SD-EESO) is designed for a networked tracking system. In this method, the measured output and the given signal are sampled and transmitted to an observer, which is designed to periodically estimate the negative disturbance and tracking errors. Furthermore, a dynamic event-triggered state feedback–feedforward controller is developed. It is shown that as long as the sampling period satisfies the given condition, the estimation error and the tracking error are both globally bounded stable. The numerical simulation and the direct current (DC) brush motor position control example show the superiority of the designed control scheme.
期刊介绍：
The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application.
Published six times a year, the Journal aims to be a key platform for control communities throughout the world.
The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive.
Topics include:
The theory and design of control systems and components, encompassing:
Robust and distributed control using geometric, optimal, stochastic and nonlinear methods
Game theory and state estimation
Adaptive control, including neural networks, learning, parameter estimation
and system fault detection
Artificial intelligence, fuzzy and expert systems
Hierarchical and man-machine systems
All parts of systems engineering which consider the reliability of components and systems
Emerging application areas, such as:
Robotics
Mechatronics
Computers for computer-aided design, manufacturing, and control of
various industrial processes
Space vehicles and aircraft, ships, and traffic
Biomedical systems
National economies
Power systems
Agriculture
Natural resources.
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