Chang-Duo Liang

Prof. Dr. Chang-Duo Liang

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Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2021 in Control Engineering Practice
Verified
Journal Article
Closed access
CLChang-Duo Liang
Chang-Duo Liang
MGMing-Feng Ge
Ming-Feng Ge
ZLZhi-Wei Liu
Zhi-Wei Liu
GLGuang Ling
Guang Ling
FLFeng Liu
Feng Liu
27 August 2021 in Nonlinear Dynamics
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Journal Article
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CLChang-Duo Liang
Chang-Duo Liang
MGMing-Feng Ge
Ming-Feng Ge
ZLZhiwei Liu
Zhiwei Liu
GLGuang Ling
Guang Ling
XZXiaowen Zhao
Xiaowen Zhao
22 February 2022 in IEEE Transactions on Fuzzy Systems
Verified
Journal Article
Closed access
CLChang-Duo Liang
Chang-Duo Liang
MGMing-Feng Ge
Ming-Feng Ge
ZLZhiwei Liu
Zhiwei Liu
XZXisheng Zhan
Xisheng Zhan
JPJu H. Park
Ju H. Park
This article investigates the predefined-time stabilization problems of Takagi–Sugeno (T–S) fuzzy systems. For addressing the considered problems, a class of novel integral sliding mode surface is first designed based on the time-regulator function, on which the system states are forced to converge to the origin in a predefined time after the sliding mode surface is reached. Further, the proposed sliding surface is employed to construct predefined-time integral sliding mode controller for the time delayed and disturbed T–S fuzzy system. The settling time appears as the sum of two predefined-time parameters in the controller design, which, respectively, adjusts the convergence time for reaching the sliding mode surface and the convergence time for arriving the origin from the sliding mode surface. The sufficient conditions for maintaining the predefined-time stability of the T–S fuzzy systems are obtained through systematic Lyapunov stability analysis. Finally, a numerical simulation example on delayed and disturbed Chua circuit is presented to verify the effectiveness of the proposed predefined-time integral sliding mode controller.
9 December 2021 in IEEE Transactions on Vehicular Technology
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Journal Article
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CLChang-Duo Liang
Chang-Duo Liang
MGMing-Feng Ge
Ming-Feng Ge
JXJing-Zhe Xu
Jing-Zhe Xu
ZLZhiwei Liu
Zhiwei Liu
FLFeng Liu
Feng Liu
This paper proposes a cyber-physical framework consisting of the secure and privacy-preserving distributed impulsive-based estimator (DIE) algorithm and the local nonlinear control (LNC) algorithm to solve the cooperative formation tracking problem of networked marine surface vehicles (NMSVs) with sampled-data interactions and external disturbances. In the cyber layer, a secure and privacy-preserving information exchange scheme is proposed based on the Paillier cryptosystem such that the states of the virtual leader can be estimated in a secure and privacy-preserving way. In the physical layer, the LNC algorithm is designed with the utilization of the estimators in the cyber layer to achieve the formation tracking for the NMSVs with disturbance rejection ability. Sufficient conditions for guaranteeing the convergence and the stability of the closed-loop system are derived based on systematic analysis. Finally, numerical simulations are performed on Cyber-Ships II to verify the effectiveness of the main results.
10 February 2020 in IEEE Transactions on Cybernetics
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Journal Article
Closed access
CLChang-Duo Liang
Chang-Duo Liang
MGMing-Feng Ge
Ming-Feng Ge
ZLZhiwei Liu
Zhiwei Liu
YWYan-Wu Wang
Yan-Wu Wang
Hamid Reza KarimiHamid Reza Karimi
Hamid Reza Karimi
This article investigates the finite-time output multiformation tracking (OMFT) problem of networked heterogeneous robotic systems (NHRSs), where each robot model involves external disturbances, parametric uncertainties, and possible kinematic redundancy. Besides, the interactions among robotic systems are described as a directed graph with an acyclic partition. Then, several novel practical finite-time hierarchical control (FTHC) algorithms are designed. The convergence analysis of the closed-loop dynamics is extremely difficult due to the lack of effective analysis methods. Based on the mathematics induction and reductio ad absurdum, a new nonsmooth Lyapunov function is proposed to derive the sufficient conditions and settling time functions. Finally, numerical simulations are performed on the NHRS to verify the main results.
17 June 2019 in Nonlinear Dynamics
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Journal Article
Closed access
PDF file
CLChang-Duo Liang
Chang-Duo Liang
LWLeimin Wang
Leimin Wang
XYXiang-Yu Yao
Xiang-Yu Yao
ZLZhiwei Liu
Zhiwei Liu
MGMing-Feng Ge
Ming-Feng Ge