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910 publications from this institution

Privacy Protection for Blockchain-Based Healthcare IoT Systems: A Survey

To enable precision medicine and remote patient monitoring, internet of healthcare things (IoHT) has gained significant interest as a promising technique. With the widespread use of IoHT, nonetheless, privacy infringements such as IoHT data leakage have raised serious public concerns. On the other side, blockchain and distributed ledger technologies have demonstrated great potential for enhancing trustworthiness and privacy protection for IoHT systems. In this survey, a holistic review of existing blockchain-based IoHT systems is conducted to indicate the feasibility of combining blockchain and IoHT in privacy protection. In addition, various types of privacy challenges in IoHT are identified by examining general data protection regulation (GDPR). More importantly, an associated study of cutting-edge privacy-preserving techniques for the identified IoHT privacy challenges is presented. Finally, several challenges in four promising research areas for blockchain-based IoHT systems are pointed out, with the intent of motivating researchers working in these fields to develop possible solutions.

Minfeng Qi, Ziyuan Wang, Qinglong Qinglong Han et al. 2022Article

Pinning synchronization of delayed dynamical networks via impulsive control

This paper investigates synchronization of dynamical networks with both system delay and transmission delay by applying pinning impulsive control. Based on the comparison theorem and the theory of impulsive functional differential equations, some novel criteria are obtained, from which the proportion of pinned nodes is able to be determined. A numerical example is given to verify the effectiveness of the theoretical results.

Sumei Chu, Wangli He, Qinglong Qinglong Han et al. 2014Article

Network-based modelling and dynamic output feedback control for unmanned marine vehicles in network environments

This paper is concerned with network-based modelling and dynamic output feedback control for an unmanned marine vehicle in network environments. A network-based model for the unmanned marine vehicle in the network environments is established for the first time by taking sampler-to-control station packet dropouts, network-induced delays, and packet disordering into account. This model is then extended to the unmanned marine vehicle system in the network environments subject to control station-to-actuator, and both sampler-to-control station and control station-to-actuator packet dropouts, network-induced delays, and packet disordering. Based on these models, dynamic output feedback controllers are designed to attenuate the oscillation amplitudes of the yaw velocity error and the yaw angle. It is shown through a benchmark example that (i) compared with the unmanned marine vehicle without control, the designed dynamic output feedback controllers can attenuate the oscillation amplitudes of the yaw velocity error and the yaw angle; and (ii) the designed dynamic output feedback controllers can provide much smaller oscillation amplitudes of the yaw velocity error and the yaw angle than a proportional–integral controller.

Yu‐Long Wang, Qinglong Qinglong Han 2018Article

Receding Horizon Synchronization of Delayed Neural Networks Using a Novel Inequality on Quadratic Polynomial Functions

This article investigates H ∞ synchronization of delayed neural networks under a receding horizon scheme, where two types of interval time-varying delays are considered according to whether the lower bound of the delay derivative is known or not. Note that a receding horizon synchronization law can be regarded as an optimization solution at each timeslot to a minimaxization problem related closely with a certain cost functional. In this article, two cost functionals with some delay-dependent matrices are introduced, respectively, for the two types of time delays. In order to obtain less conservative conditions, a novel inequality on quadratic polynomial functions is established, which includes some existing ones as its special cases. Based on the novel inequality, two sufficient conditions are derived to design the terminal weighting matrices of the cost functionals such that the resulting synchronization error system can be stabilized with a prescribed infinite horizon H ∞ performance level. Finally, three numerical examples are used to demonstrate the validity of the proposed results.

Chengda Lu, Xian‐Ming Zhang, Min Wu et al. 2019Article

An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles

Autonomous surface vehicles (ASVs) are marine vessels capable of performing various marine operations without a crew in a variety of cluttered and hostile water/ocean environments. For complex missions, there are increasing needs for deploying a fleet of ASVs instead of a single one to complete difficult tasks. Cooperative operations with a fleet of ASVs offer great advantages with enhanced capability and efficacy. Despite various application potentials, coordinated motion control of ASVs pose great challenges due to the multiplicity of ASVs, complexity of intravehicle interactions and fleet formation with collision avoidance requirements, and scarcity of communication bandwidths in sea environments. Coordinated control of multiple ASVs has received considerable attention in the last decade. This article provides an overview of recent advances in coordinated control of multiple ASVs. First, some challenging issues and scenarios in motion control of ASVs are presented. Next, coordinated control architecture and methods of multiple ASVs are briefly discussed. Then, recent results on trajectory-guided, path-guided, and target-guided coordinated control of multiple ASVs are reviewed in detail. Finally, several theoretical and technical issues are suggested to direct future investigations including network-based coordination, event-triggered coordination, collision-free coordination, optimization-based coordination, data-driven coordination of ASVs, and task-region-oriented coordination of multiple ASVs and autonomous underwater vehicles.

Zhouhua Peng, Jun Wang, Dan Wang et al. 2020Article

Designing Discrete Predictor-Based Controllers for Networked Control Systems with Time-varying Delays: Application to A Visual Servo Inverted Pendulum System

A discrete predictor-based control method is developed for a class of linear time-invariant networked control systems with a sensor-to-controller time-varying delay and a controller-to-actuator uncertain constant delay, which can be potentially applied to vision-based control systems. The control scheme is composed of a state prediction and a discrete predictor-based controller. The state prediction is used to compensate for the effect of the sensor-to-controller delay, and the system can be stabilized by the discrete predictor-based controller. Moreover, it is shown that the control scheme is also robust with respect to slight message rejections. Finally, the main theoretical results are illustrated by simulation results and experimental results based on a networked visual servo inverted pendulum system.

Yang Deng, Vincent Léchappé, Changda Zhang et al. 2021Article

Fock wave function as classified by the supergroup chain U(N/M)containsOSp(N/M)containsO(N) x Sp(M)

No abstract is provided for this article.

Qinglong Qinglong Han, Hao‐Ling Sun, M. Zhang et al. 1985Article

Fully Distributed Nash Equilibrium Seeking: A Double-Layer Adaptive Approach

This article is concerned with fully distributed Nash equilibrium seeking in networked games under both undirected and directed communication graphs. New fully Nash equilibrium seeking strategies incorporating gradient-based optimization algorithms, consensus algorithms, and double-layer adaptive control laws are presented. In particular, the double-layer adaptive control laws are introduced to ensure that the control gains are not overlarge and free of dependence on any global information. This is achieved by adding a damping term to the adaptive parameter design such that the continuous increase in control gains is avoided. Theoretical analyses are conducted to prove that players' actions can be convergent to the Nash equilibrium under the proposed strategies. Moreover, it is shown that the developed strategies can be extended to accommodate the players with heterogeneous linear dynamics. Finally, numerical examples are provided to illustrate the effectiveness of the proposed methods.

Lei Ding, Can Chen, Maojiao Ye et al. 2024Article

Comments and Remarks on "On Improved Delay-Dependent Robust Control for Uncertain Time-Delay Systems

The purpose of this note is to correct some statements and numerical examples' results in the above paper. A few remarks are also given to clarify the facts that for systems with small delay, the results in Han (2003) are much less conservative than those in Kwon and Park (2004); for systems with nonsmall delay, the criterion in Kwon and Park (2004) fails to make any conclusion, while the criterion in Han (2003) can be applicable to these kinds of systems

Qinglong Qinglong Han 2006Article

Secure Federated Learning for Cloud-Fog Automation: Vulnerabilities, Challenges, Solutions, and Future Directions

With the intelligence and automation of industrial Internet of Things, a new collaborative Cloud-Fog Automation paradigm has emerged. The emergence of federated

Zhuangzhuang Zhang, Libing Wu, Jiong Jin et al. 2025Article

Delay-dependent synchronization criteria for delayed chaotic systems with parameter mismatches

This paper investigates synchronization between two delayed chaotic systems with parameter mismatches. Based on Lyapunov functional approach and generalized Halanay inequality, some delay-dependent criteria are derived to guarantee the synchronization error converges to a bounded ball, whose radius, referred to as the error level, is also estimated. Moreover, an optimization algorithm is established for error level estimate, and the feedback matrix design is also addressed. Finally, a chaotic neural network is used to illustrate the effectiveness of the proposed method.

Wangli He, Feng Qian, Qinglong Qinglong Han 2011Article

Resilient Distributed Event-Triggered Control of Vehicle Platooning Under DoS Attacks

This paper deals with the resilient distributed control of a platoon of automated vehicles under DoS attacks. First, an event-triggered transmission mechanism resilient to energy-limited DoS attacks is proposed to save the possible bandwidth of vehicle-to-vehicle communication channels. A consensus-based distributed control strategy, which is implemented on each vehicle, is developed to account for the information interaction of leading and following vehicles under the proposed resilient event-triggered data transmission mechanism. Second, an attack-tolerant performance index with certain resilience level is put forward in such a way to achieve resilience evaluation of the vehicular platoon system. Third, sufficient conditions are derived for ensuring the consensus of the resulting vehicular platoon system while preserving the prescribed resilience performance requirement. Furthermore, a co-design criterion for determining the distributed platoon controller and triggering condition is presented. Finally, simulation under a predecessor-leader following topology is presented for validation of the obtained results.

Shunyuan Xiao, Xiaohua Ge, Qinglong Qinglong Han et al. 2020Article

Distributed Finite-Time Secondary Frequency and Voltage Control for Islanded Microgrids With Communication Delays and Switching Topologies

This article is concerned with the distributed secondary frequency and voltage control for islanded microgrids. First, the distributed secondary control problem is formulated by taking both communication delays and switching topologies into account. Second, by using an Artstein model reduction method, a novel delay-compensated distributed control scheme is proposed to restore frequencies of each distributed generator (DG) to a reference level in finite time, while achieving active power sharing in prescribed finite-time regardless of initial deviations generated from primary control. Third, a distributed finite-time controller is developed to regulate voltages of all DGs to a reference level. Fourth, the proposed idea is also applied to deal with the finite-time consensus for first-order multiagent systems. Finally, case studies are carried out, demonstrating the effectiveness, the robustness against load changes, and the plug-and-play capability of the proposed controllers.

Boda Ning, Qinglong Qinglong Han, Lei Ding 2020Article

Hyperbolic Tangent Function-Based Protocols for Global/Semi-Global Finite-Time Consensus of Multi-Agent Systems

This paper investigates the problem of global/semi-global finite-time consensus for integrator-type multi-agent systems. New hyperbolic tangent function-based protocols are proposed to achieve global and semi-global finite-time consensus for both single-integrator and double-integrator multi-agent systems with leaderless undirected and leader-following directed communication topologies. These new protocols not only provide an explicit upper-bound estimate for the settling time, but also have a user-prescribed bounded control level. In addition, compared to some existing results based on the saturation function, the proposed approach considerably simplifies the protocol design and the stability analysis. Illustrative examples and an application demonstrate the effectiveness of the proposed protocols.

Zongyu Zuo, Jingchuan Tang, Ruiqi Ke et al. 2024Article

Modelling and controller design for discrete-time networked control systems with limited channels and data drift

This paper is concerned with modelling and controller design for a discrete-time networked control system with limited channels and data drift. For the networked control system, available communication channels are usually limited. Moreover, the data received by the actuator may be different from the data sent by the controller and this phenomenon is referred to as data drift. By taking limited channels and data drift into account, a new model for the networked control system is established. Then a new Lyapunov functional is constructed to drive some stability criteria. Based on these stability criteria, a channel utilization-based switched controller is designed to asymptotically stabilize the networked system in the sense of mean-square. The proposed design method can enhance robustness of the networked control system to data drift and external disturbances. A numerical example is given to illustrate the effectiveness of the proposed controller design.

Yu‐Long Wang, Qinglong Qinglong Han 2014Article

On robust stability of time-delay systems with norm-bounded uncertainty

This paper considers the robust stability problem for a class of time-delay systems with norm-bounded, and possibly time-varying uncertainty. Based on the discretized Lyapunov functional approach, a stability criterion is derived. The time-delay is assumed constant and known. Numerical examples show that the results obtained by this new criterion significantly improve the estimate of the stability limit over some existing results in the literature.

Qinglong Qinglong Han, Keqin Gu 2001Article

Performance Guaranteed Consensus Tracking of Networked Agents with Uncertainty

In this paper, performance guaranteed consensus tracking is investigated for networked agents with uncertainty. A distributed observer-based controller is propo

Boda Ning, Qinglong Qinglong Han 2025Article

H<inf>&#x221E;</inf> networked control with multiple packet dropouts

In this paper, we present a novel iterative LMI approach to deal with the control problem for networked control systems (NCSs) with multiple packet dropouts. Two channel packet dropouts are simultaneously considered due to limited communication capacity. One is measurement channel packet dropout which is from the sensor to the controller. The other is control channel packet dropout which is from the controller to the actuator. The NCSs with both multiple measurement and control packet dropouts are first modeled as a stochastic parameter system which contains two independent Bernoulli distributed white sequences. A dynamic output controller is then designed to exponentially stabilize the networked system in the sense of mean square, and also achieve the prescribed H ∞ disturbance attenuation level. An iterative algorithm is developed to compute the optimal H ∞ disturbance attenuation and the controller parameters by solving the semi-definite programming problem via interior-point approach. Finally, two illustrative examples are provided to show the applicability of the proposed method.

Fuwen Yang, Qinglong Qinglong Han 2012Article

A survey of motion control for marine vehicles

The motion control of marine vehicles has attracted much attention from control community. This paper reviews the recent results on the motion control of marine vehicles. The approaches dealing with rudder roll stabilization, heading control, dynamic positioning, unmanned marine vehicles, underactuated marine vehicles, marine thruster control, and controller design for marine vehicles are reviewed.

Ai-Chun Qi, Qinglong Qinglong Han, Yu‐Long Wang 2015Article

Stability analysis of time-delayed single-input sliding mode control systems

This paper presents stability analysis of the time-delayed equivalent control based single input sliding mode control systems using an LMI approach. Conditions to guarantee the boundedness of the control system trajectories under the time-delayed equivalent control based sliding mode control are obtained. Maximum upper bound of the delay time to guarantee stability is estimated. Digital simulations are conducted to verify the theoretical results.

Xiangjun Li, Xinghuo Yu, Qinglong Qinglong Han et al. 2008Article

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