Maopeng Ran
Nanyang Technological University
43 Papers
58 Citations
Maopeng Ran is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: State observer & Computer science. The author has an hindex of 9, co-authored 38 publications. Previous affiliations of Maopeng Ran include Beihang University.
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Papers
Stabilization of a class of nonlinear systems with actuator saturation via active disturbance rejection control
TL;DR: The obtained results suggest a new way to stabilize the saturated nonlinear system, even in the case that the state of the system is not fully available for measurement and system nonlinear dynamics are largely unknown.
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Active disturbance rejection control for uncertain time-delay nonlinear systems
TL;DR: It is shown that the upper bounds of the ESO gains are limited by the time-delay, and a predictive ADRC law is presented, which represents the effects of the unknown nonlinear dynamics and external disturbance.
124
Active Disturbance Rejection Control for Uncertain Nonaffine-in-Control Nonlinear Systems
TL;DR: In this technical note, the active disturbance rejection control (ADRC) is generalized to uncertain nonaffine-in-control nonlinear systems and incorporates both an extended state observer (ESO) as well as a dynamic inversion.
111
A new extended state observer for uncertain nonlinear systems
TL;DR: In this paper, a cascade of first-order extended state observers (ESO) is proposed to suppress the wing rock motion of a slender delta wing, and the proposed approach only relies on the knowledge of the control direction of the uncertain nonlinear system.
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Backstepping design of missile guidance and control based on adaptive fuzzy sliding mode control
TL;DR: In this article, an integrated missile guidance and control law based on adaptive fuzzy sliding mode control is presented, where an adaptive fuzzy system is adopted to approximate the coupling nonlinear functions of the system, and for the uncertainties, an online-adaptive control law is used to estimate the unknown parameters.
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