Zhengtao Ding

Dr. Zhengtao Ding

orcid

Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

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

Representative Publications

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19 July 2017 in IEEE Transactions on Automatic Control
Verified
Journal Article
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ZZZongyu Zuo
Zongyu Zuo
Bailing TianBailing Tian
Bailing Tian
MDMichael Defoort
Michael Defoort
Zhengtao DingZhengtao Ding
Zhengtao Ding
This paper addresses the fixed-time leader-follower consensus problem for high-order integrator multiagent systems subject to matched external disturbances. A new cascade control structure, based on a fixed-time distributed observer, is developed to achieve the fixed-time consensus tracking control. A simulation example is included to show the efficacy and the performance of the proposed control structure with respect to different initial conditions.

6 March 2019 in IEEE Transactions on Automatic Control
Verified
Journal Article
Closed access
SZShiyu Zhao
Shiyu Zhao
ZLZhenhong Li
Zhenhong Li
Zhengtao DingZhengtao Ding
Zhengtao Ding
This paper studies the problem of bearing-only formation control of multi-agent systems, where the control of each agent merely relies on the relative bearings to its neighbors. Although this problem has received increasing research attention recently, it is still unsolved to a large extent due to its highly nonlinear dynamics. In particular, the existing control approaches are only able to solve the simplest scenario where the target formation is stationary and each agent is modeled as a single integrator. The main contribution of this paper is to propose new bearing-only formation control laws to (i) track moving target formations and (ii) handle a variety of agent models including single-integrator, double-integrator, and unicycle models. These control laws are an important step towards the application of bearing-only formation control in practical tasks. Both numerical simulation and real experimental results are presented to verify the effectiveness of the theoretical results.


5 June 2015 in IEEE Transactions on Industrial Electronics
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Journal Article
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Zhengtao DingZhengtao Ding
Zhengtao Ding
This paper deals with consensus disturbance rejection of network-connected dynamic systems using disturbance observers. The control objective of consensus disturbance rejection is to achieve a common state trajectory for the network-connected subsystems that are under deterministic disturbances. The difference from the existing disturbance rejection methods is that only the relative state information is used for disturbance rejection, and as a consequence of using the relative state information, only the part of the disturbances that affect the common trajectories will be rejected. The conditions for designing disturbance observers for consensus control are identified for networked-connected multiagent systems. Certain features of the individual subsystems are analyzed for possible implementation of disturbance-observer-based rejection, and the disturbance observers are designed based on the relative state information obtained from the neighboring subsystems under different network connections. When the network connectivity is available for the disturbance observer design, consensus disturbance rejection is achieved for a directed network with a spanning tree. A fully distributed consensus disturbance rejection design is presented for an undirected network with the use of adaptive parameters for the estimation of the unknown network connectivity. Disturbance observers are also proposed for disturbance rejection in the leader-follower consensus control.

1 June 2016 in Automatica
Verified
Journal Article
Closed access
ZLZhongkui Li
Zhongkui Li
MCMichael Z.Q. Chen
Michael Z.Q. Chen
Zhengtao DingZhengtao Ding
Zhengtao Ding

1 April 2013 in IEEE Transactions on Automatic Control
Verified
Journal Article
Closed access
Zhengtao DingZhengtao Ding
Zhengtao Ding
This technical note deals with consensus output regulation of network connected multi-agent systems. Every agent or subsystem is a nonlinear system in the output feedback form with relative degree one, but subsystems may have different dynamics in terms of different nonlinear functions and even different system orders. The subsystem dynamics are influenced by state variables generated from an exosystem. The outputs of the subsystems are required to follow a desired trajectory which is a function of the exosystem state. Only some subsystems have access to the desired trajectory, and the other subsystems will have to rely on the exchange of information through the network. In this technical note, a consensus control design is proposed to ensure that the outputs of all the subsystems converge to the same desired output trajectory by exploiting the internal model design strategy. The proposed control design only uses the relative outputs of the subsystems, and does not require the estimation of subsystem state variables.