Jing Na spends much of his time researching Control theory, Adaptive control, Nonlinear system, Estimation theory and Control engineering. Lyapunov function, Tracking error, Torque, System dynamics and Robustness are among the areas of Control theory where the researcher is concentrating his efforts. His work on Backstepping as part of general Adaptive control study is frequently linked to Rate of convergence, therefore connecting diverse disciplines of science.
Jing Na interconnects Artificial neural network, Overshoot and Active suspension, Suspension in the investigation of issues within Nonlinear system. He works mostly in the field of Artificial neural network, limiting it down to concerns involving Dead zone and, occasionally, Synchronous motor. As a part of the same scientific family, he mostly works in the field of Estimation theory, focusing on Vehicle dynamics and, on occasion, Gradient descent.
Jing Na mainly investigates Control theory, Nonlinear system, Adaptive control, Artificial neural network and Estimation theory. His Control theory study frequently draws connections between related disciplines such as Control engineering. His Nonlinear system study incorporates themes from Control system and Observer.
His Adaptive control study combines topics in areas such as Reference model, Transient response, Adaptive algorithm and System dynamics. He works mostly in the field of Artificial neural network, limiting it down to topics relating to Servomechanism and, in certain cases, Servo and Servomotor, as a part of the same area of interest. His biological study deals with issues like Vehicle dynamics, which deal with fields such as Torque.
Jing Na mostly deals with Control theory, Nonlinear system, Control system, Adaptive control and Estimation theory. His research integrates issues of Artificial neural network and Filter in his study of Control theory. His Nonlinear system research focuses on Fuzzy logic and how it connects with Adaptive algorithm.
His Control system research incorporates themes from Stability, CarSim and Observer. The Adaptive control study combines topics in areas such as Trajectory and Reference model. His Estimation theory study which covers Servomotor that intersects with Backstepping.
His primary areas of investigation include Control theory, Nonlinear system, Servomotor, Estimation theory and Adaptive control. His work carried out in the field of Control theory brings together such families of science as Artificial neural network and Filter. CarSim, Suspension, Active suspension and Adaptive algorithm is closely connected to Fuzzy logic in his research, which is encompassed under the umbrella topic of Nonlinear system.
While the research belongs to areas of Servomotor, he spends his time largely on the problem of Servomechanism, intersecting his research to questions surrounding Backstepping. His Adaptive control research is multidisciplinary, incorporating elements of Vehicle dynamics and Fuzzy control system. The concepts of his Tracking error study are interwoven with issues in Control system and System dynamics.
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Adaptive Prescribed Performance Motion Control of Servo Mechanisms with Friction Compensation
Jing Na;Qiang Chen;Xuemei Ren;Yu Guo.
IEEE Transactions on Industrial Electronics (2014)
Robust adaptive finite-time parameter estimation and control for robotic systems
Jing Na;Muhammad Nasiruddin Mahyuddin;Guido Herrmann;Xuemei Ren.
International Journal of Robust and Nonlinear Control (2015)
Adaptive Parameter Estimation and Control Design for Robot Manipulators With Finite-Time Convergence
Chenguang Yang;Yiming Jiang;Wei He;Jing Na.
IEEE Transactions on Industrial Electronics (2018)
Adaptive Control for Nonlinear Pure-Feedback Systems With High-Order Sliding Mode Observer
Jing Na;Xuemei Ren;Dongdong Zheng.
IEEE Transactions on Neural Networks (2013)
Adaptive control of nonlinear uncertain active suspension systems with prescribed performance.
Yingbo Huang;Jing Na;Xing Wu;Xiaoqin Liu.
Isa Transactions (2015)
Adaptive neural dynamic surface control for servo systems with unknown dead-zone
Jing Na;Jing Na;Xuemei Ren;Guido Herrmann;Zhi Qiao.
Control Engineering Practice (2011)
Active Adaptive Estimation and Control for Vehicle Suspensions With Prescribed Performance
Jing Na;Yingbo Huang;Xing Wu;Guanbin Gao.
IEEE Transactions on Control Systems and Technology (2018)
Online adaptive approximate optimal tracking control with simplified dual approximation structure for continuous-time unknown nonlinear systems
Jing Na;Guido Herrmann.
IEEE/CAA Journal of Automatica Sinica (2014)
Adaptive prescribed performance control of nonlinear systems with unknown dead zone
International Journal of Adaptive Control and Signal Processing (2013)
Online adaptive optimal control for continuous-time nonlinear systems with completely unknown dynamics
Yongfeng Lv;Jing Na;Qinmin Yang;Xing Wu.
International Journal of Control (2016)
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