Composite Disturbance Rejection Control (CDRC) for Complex Dynamic Systems introduces a range of innovative composite disturbance rejection control methods, integrating DOB, ADRC, and other advanced control algorithms. These methods are poised to enhance the control performance of diverse practical control systems in the presence of disturbances. Disturbances are pervasive in modern engineering systems, exerting a nonnegligible negative influence on system performance, and conventional control methods like PID exhibit limited efficacy in managing disturbances, while certain advanced control approaches face practical implementation challenges in real-world control systems for a multitude of reasons.
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Jinhui Zhang earned his Ph.D. in Control Science and Engineering from Beijing Institute of Technology, China, in 2011. Prior to that, he held research roles at the University of Hong Kong and City University of Hong Kong in 2010-2011. He also served as a Visiting Fellow at the University of Western Sydney, Australia, in 2013.
Later, he became an Associate Professor at Beijing University of Chemical Technology from 2011 to 2016 and a Professor at Tianjin University's School of Electrical and Automation Engineering from 2016 to 2016. Since joining Beijing Institute of Technology in October 2016, he has held the position of Professor. His research centres on networked control systems and composite disturbance rejection control.
Disturbances are pervasive in modern engineering systems, exerting a nonnegligible negative influence on system performance. Conventional control methods, like PID, exhibit limited efficacy in managing disturbances, while certain advanced control approaches face practical implementation challenges in real-world control systems for a multitude of reasons. Composite Disturbance Rejection Control (CDRC) for Complex Dynamic Systems introduces a range of innovative composite disturbance rejection control methods, integrating DOB, ADRC, and other advanced control algorithms. These methods are poised to enhance the control performance of diverse practical control systems in the presence of disturbances.
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