ORCID Profile
0000-0002-4453-8932
Current Organisation
Soochow University
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Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Elsevier BV
Date: 2022
Publisher: Wiley
Date: 08-07-2021
DOI: 10.1002/RNC.5692
Abstract: This study aims to investigate the problem of event‐triggered adaptive leaderless consensus control for a class of nonlinear multi‐agent systems with unknown backlash‐like hysteresis. Combining adaptive backstepping and event‐triggered control techniques, a distributed event‐triggered adaptive leaderless consensus controller is designed to compensate for the effects of unknown backlash‐like hysteresis and reduce the update frequency of control signals. By the proposed method, we can obtain the desired consensus tracking, ensure the boundedness of all the signals, and exclude the Zeno behavior from the underlying systems. An ex le of four robotic manipulators is given to show the effectiveness of the new control design scheme.
Publisher: Elsevier BV
Date: 06-2022
Publisher: MDPI AG
Date: 07-08-2023
DOI: 10.3390/AEROSPACE10080696
Abstract: In this paper, we propose an output feedback flight tracking control scheme for helicopter attitude and altitude systems with unmeasured states under full state constraints. Firstly, a state observer is constructed based on the measured output signals, which is proven to be rigorous since all states are constrained within the desired and assigned scopes. Secondly, the flight tracking controller is built using the state estimations with the full state constraints control method. Then, the Barrier Lyapunov function method is adopted to guarantee the stability of the composite closed-loop nonlinear error systems. Meanwhile, the linear matrix inequality technology is applied to calculate the gains of the state observer. Finally, a numerical simulation ex le is provided to confirm the reasonableness of the full state constraint output feedback flight tracking control method.
Publisher: Wiley
Date: 20-12-2020
DOI: 10.1002/ACS.3081
Publisher: MDPI AG
Date: 06-02-2022
Abstract: Herein, we investigate the robust formation control problem for a group of unmanned aerial vehicles (UAVs) with system uncertainty. A hierarchical formation control strategy is introduced to ensure the uniform ultimate boundedness of each UAV’s reference tracking error. First, a group of saturated high-level virtual agents are defined to act as the trajectory planners that offer feasible position references to the actual UAVs. A sliding mode neural-based observer is then constructed to estimate the nonlinear uncertainty in the UAV model. Furthermore, sliding mode controllers are designed for both the position loop and the attitude loop of the UAV. To attenuate the chattering phenomenon in the control input, a saturated and smoothed differentiator is proposed along with an observation introduction function. The effectiveness of the proposed control scheme is validated by both the Lyapunov stability theory and numerical simulations based on a multiple-UAV system.
Publisher: Springer Science and Business Media LLC
Date: 14-09-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2023
Publisher: IEEE
Date: 04-03-2021
No related grants have been discovered for Yuan Sun.