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  1. Article ; Online: Pinning-Based Neural Control for Multiagent Systems With Self-Regulation Intermediate Event-Triggered Method.

    Ren, Hongru / Liu, Zeyi / Liang, Hongjing / Li, Hongyi

    IEEE transactions on neural networks and learning systems

    2024  Volume PP

    Abstract: A pinning-based self-regulation intermediate event-triggered (ET) funnel tracking control strategy is proposed for uncertain nonlinear multiagent systems (MASs). Based on the backstepping framework, a pinning control strategy is designed to achieve the ... ...

    Abstract A pinning-based self-regulation intermediate event-triggered (ET) funnel tracking control strategy is proposed for uncertain nonlinear multiagent systems (MASs). Based on the backstepping framework, a pinning control strategy is designed to achieve the tracking control objective, which only uses the communication weight between the agents without additional feedback parameters. Moreover, by designing a self-regulation triggered condition based on the tracking error, the intermediate triggered signal is calculated to replace the continuous signal in the controller, so as to achieve the goal of discontinuous update of the controller signal, and this mechanism does not need to add additional compensation function to the controller signal. At the same time, the funnel method is adopted to restrict the error of step n and avoid the possible negative impact caused by control signal. Furthermore, the nonlinear noncontinuous faults are compensated by the disturbance observer. Then, the Lyapunov stability theorem is used to prove that all signals of the closed-loop system are semiglobally uniformly ultimately bounded (SGUUB). Finally, some simulation results confirm the effectiveness of the proposed control scheme.
    Language English
    Publishing date 2024-04-22
    Publishing country United States
    Document type Journal Article
    ISSN 2162-2388
    ISSN (online) 2162-2388
    DOI 10.1109/TNNLS.2024.3386881
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Observer-Based Neural Control of N-Link Flexible-Joint Robots.

    Ma, Hui / Ren, Hongru / Zhou, Qi / Li, Hongyi / Wang, Zhenyou

    IEEE transactions on neural networks and learning systems

    2024  Volume 35, Issue 4, Page(s) 5295–5305

    Abstract: This article concentrates on the adaptive neural control approach of n -link flexible-joint electrically driven robots. The presented control method only needs to know the position and armature current information of the flexible-joint manipulator. An ... ...

    Abstract This article concentrates on the adaptive neural control approach of n -link flexible-joint electrically driven robots. The presented control method only needs to know the position and armature current information of the flexible-joint manipulator. An adaptive observer is designed to estimate the velocities of links and motors, and radial basis function neural networks are applied to approximate the unknown nonlinearities. Based on the backstepping technique and the Lyapunov stability theory, the observer-based neural control issue is addressed by relying on uplink-event-triggered states only. It is demonstrated that all signals are semi-globally ultimately uniformly bounded and the tracking errors can converge to a small neighborhood of zero. Finally, simulation results are shown to validate the designed event-triggered control strategy.
    Language English
    Publishing date 2024-04-04
    Publishing country United States
    Document type Journal Article
    ISSN 2162-2388
    ISSN (online) 2162-2388
    DOI 10.1109/TNNLS.2022.3203074
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Reinforcement learning-based consensus control for MASs with intermittent constraints.

    Luo, Ao / Zhou, Qi / Ren, Hongru / Ma, Hui / Lu, Renquan

    Neural networks : the official journal of the International Neural Network Society

    2024  Volume 172, Page(s) 106105

    Abstract: In this article, an adaptive optimal consensus control problem is studied for multiagent systems in the strict-feedback structure with intermittent constraints (the constraints appear intermittently). More specifically, by designing a novel switch-like ... ...

    Abstract In this article, an adaptive optimal consensus control problem is studied for multiagent systems in the strict-feedback structure with intermittent constraints (the constraints appear intermittently). More specifically, by designing a novel switch-like function and an improved coordinate transformation, the constrained states are converted into unconstrained states, and the problem of intermittent constraints is resolved without requiring "feasibility conditions". In addition, using the composite learning algorithm and neural networks to construct the identifier, a simplified identifier-actor-critic-based reinforcement learning strategy is proposed to obtain the approximate optimal controller under the framework of backstepping. Meanwhile, with the aid of the nonlinear dynamic surface control technique, the issue of "explosion of complexity" in backstepping is removed, and the requirements for filter parameters are loosened. Based on Lyapunov stability theory, it is demonstrated that all signals in the closed-loop system are bounded. Finally, two simulation examples are used to verify the effectiveness of the proposed method.
    MeSH term(s) Consensus ; Algorithms ; Computer Simulation ; Neural Networks, Computer ; Nonlinear Dynamics
    Language English
    Publishing date 2024-01-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 740542-x
    ISSN 1879-2782 ; 0893-6080
    ISSN (online) 1879-2782
    ISSN 0893-6080
    DOI 10.1016/j.neunet.2024.106105
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Security Analysis for Dynamic State Estimation of Power Systems With Measurement Delays.

    Cheng, Zhijian / Ren, Hongru / Qin, Jiahu / Lu, Renquan

    IEEE transactions on cybernetics

    2023  Volume 53, Issue 4, Page(s) 2087–2096

    Abstract: This article is centered on the cybersecurity research of dynamic state estimation for power systems with measurement delays. Relying on mixed measurements from phasor measurement units (PMUs) and remote terminal units (RTUs), a delayed measurement model ...

    Abstract This article is centered on the cybersecurity research of dynamic state estimation for power systems with measurement delays. Relying on mixed measurements from phasor measurement units (PMUs) and remote terminal units (RTUs), a delayed measurement model is constructed. A modified state estimator based on the Kalman filter (KF) is designed, which can obtain the optimal estimated states under measurement delays. Moreover, the measurement data transmitted from the sensor to the estimator are vulnerable to cyberattacks. Especially, false data-injection (FDI) attacks are frequently encountered in the power system state estimation (PSSE) process. In the case of measurement delays, an FDI attack strategy is designed to interfere with the state estimator and evade detection by the chi-square detector. By utilizing the attacked estimated information and the uncorrupted measurement information, two measurement residual vectors are designed. According to these two residual vectors, a chi-square-based attack detection method is proposed, which has the ability to detect the attack without being affected by the delayed measurements. The proposed KF algorithm and attack detection method are implemented on an IEEE 14-bus system and they are confirmed to be effective and feasible.
    Language English
    Publishing date 2023-03-16
    Publishing country United States
    Document type Journal Article
    ISSN 2168-2275
    ISSN (online) 2168-2275
    DOI 10.1109/TCYB.2021.3108884
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Bouncing dynamics of droplets on nanopillar-arrayed surfaces: the effect of impact position.

    Zhu, Shengya / Ren, Hongru / Li, Xuhao / Xiao, Ye / Li, Chun

    Physical chemistry chemical physics : PCCP

    2023  Volume 25, Issue 6, Page(s) 4969–4979

    Abstract: The impact behaviors of droplets on nanostructure-arrayed surfaces are ubiquitous in nature and engineering applications. And the influence of the impact position of a droplet on its bouncing dynamics is of great significance since there is inevitable ... ...

    Abstract The impact behaviors of droplets on nanostructure-arrayed surfaces are ubiquitous in nature and engineering applications. And the influence of the impact position of a droplet on its bouncing dynamics is of great significance since there is inevitable randomness in the impact position of droplets on the surface of nanostructured arrays, but the difference in the dynamics process caused by this randomness has not been recognized. Here, by using molecular dynamics simulations, the effect of impact position on the bouncing dynamics of a water droplet on nanopillar-arrayed surfaces is systematically investigated. The simulation results highlight that the impact position plays an important role in droplet dynamics after impact, especially at the retraction stage, and the effect of impact position on the bouncing behavior is highly sensitive to the impact velocity. Importantly, from the point of energy conversion, the droplet deformation and contact state jointly determine whether the droplet can bounce back or not, which reveals the mechanism of impact position effects on the bouncing behavior of the droplet. Interestingly, the effect of impact position would be weakened with an increase in the size ratio of the droplet diameter to nanopillar spacing, and this effect becomes negligible when the size ratio is greater than 5.2. These findings demonstrate the key role played by the impact position and may provide new insights into the practical application of nanostructure-arrayed surfaces.
    Language English
    Publishing date 2023-02-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 1476244-4
    ISSN 1463-9084 ; 1463-9076
    ISSN (online) 1463-9084
    ISSN 1463-9076
    DOI 10.1039/d2cp04608c
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Synchronization of Complex Dynamical Networks Subject to Noisy Sampling Interval and Packet Loss.

    Hu, Zhipei / Ren, Hongru / Shi, Peng

    IEEE transactions on neural networks and learning systems

    2022  Volume 33, Issue 8, Page(s) 3216–3226

    Abstract: This article focuses on the sampled-data synchronization issue for a class of complex dynamical networks (CDNs) subject to noisy sampling intervals and successive packet losses. The sampling intervals are subject to noisy perturbations, and categorical ... ...

    Abstract This article focuses on the sampled-data synchronization issue for a class of complex dynamical networks (CDNs) subject to noisy sampling intervals and successive packet losses. The sampling intervals are subject to noisy perturbations, and categorical distribution is used to characterize the sampling errors of noisy sampling intervals. By means of the input delay approach, the CDN under consideration is first converted into a delay system with delayed input subject to dual randomness and probability distribution characteristic. To verify the probability distribution characteristic of the delayed input, a novel characterization method is proposed, which is not the same as that of some existing literature. Based on this, a unified framework is then established. By recurring to the techniques of stochastic analysis, a probability-distribution-dependent controller is designed to guarantee the mean-square exponential synchronization of the error dynamical network. Subsequently, a special model is considered where only the lower and upper bounds of delayed input are utilized. Finally, to verify the analysis results and testify the effectiveness and superiority of the designed synchronization algorithm, a numerical example and an example using Chua's circuit are given.
    Language English
    Publishing date 2022-08-03
    Publishing country United States
    Document type Journal Article
    ISSN 2162-2388
    ISSN (online) 2162-2388
    DOI 10.1109/TNNLS.2021.3051052
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: [No title information]

    Ren, Hongru / Walkty, Andrew / Kidane, Biniam

    CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne

    2022  Volume 194, Issue 5, Page(s) E181–E182

    Title translation Empyème pulmonaire chez un patient schizophrène ayant une mauvaise dentition.
    Language French
    Publishing date 2022-01-29
    Publishing country Canada
    Document type Journal Article
    ZDB-ID 215506-0
    ISSN 1488-2329 ; 0008-4409 ; 0820-3946
    ISSN (online) 1488-2329
    ISSN 0008-4409 ; 0820-3946
    DOI 10.1503/cmaj.202556-f
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Ua VI Zs.136: Show issues Location:
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  8. Article ; Online: [No title information]

    Ren, Hongru / Memauri, Brett / Sharma, Aditya

    CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne

    2022  Volume 194, Issue 9, Page(s) E367–E368

    Title translation Blastomycose disséminée entraînant la destruction de la scapula.
    Language French
    Publishing date 2022-03-04
    Publishing country Canada
    Document type Journal Article
    ZDB-ID 215506-0
    ISSN 1488-2329 ; 0008-4409 ; 0820-3946
    ISSN (online) 1488-2329
    ISSN 0008-4409 ; 0820-3946
    DOI 10.1503/cmaj.201177-f
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  9. Article ; Online: Distributed Finite-Time Containment Control for Nonlinear Multiagent Systems With Mismatched Disturbances.

    Xiao, Wenbin / Ren, Hongru / Zhou, Qi / Li, Hongyi / Lu, Renquan

    IEEE transactions on cybernetics

    2022  Volume 52, Issue 7, Page(s) 6939–6948

    Abstract: This article proposes a finite-time adaptive containment control scheme for a class of uncertain nonlinear multiagent systems subject to mismatched disturbances and actuator failures. The dynamic surface control technique and adding a power integrator ... ...

    Abstract This article proposes a finite-time adaptive containment control scheme for a class of uncertain nonlinear multiagent systems subject to mismatched disturbances and actuator failures. The dynamic surface control technique and adding a power integrator technique are modified to develop the distributed finite-time adaptive containment algorithm, which shows lower computational complexity. In order to overcome the difficulty from the mismatched uncertainties, the disturbance observers are constructed based on the backstepping technique. Moreover, the uncertain actuator faults, including loss of effectiveness model and lock-in-place model, are considered and compensated by the proposed adaptive control scheme in this article. According to the Lyapunov stability theory, it is demonstrated that the containment errors are practically finite-time stable in the presence of actuator faults. Finally, a simulation example is conducted to show the effectiveness of the proposed theoretical results.
    Language English
    Publishing date 2022-07-04
    Publishing country United States
    Document type Journal Article
    ISSN 2168-2275
    ISSN (online) 2168-2275
    DOI 10.1109/TCYB.2020.3042168
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Event-Triggered Output-Feedback Control for Large-Scale Systems With Unknown Hysteresis.

    Cao, Liang / Ren, Hongru / Li, Hongyi / Lu, Renquan

    IEEE transactions on cybernetics

    2021  Volume 51, Issue 11, Page(s) 5236–5247

    Abstract: This article focuses on the event-triggered-based adaptive neural-network (NN) control problem for nonlinear large-scale systems (LSSs) in the presence of full-state constraints and unknown hysteresis. The characteristic of radial basis function NNs is ... ...

    Abstract This article focuses on the event-triggered-based adaptive neural-network (NN) control problem for nonlinear large-scale systems (LSSs) in the presence of full-state constraints and unknown hysteresis. The characteristic of radial basis function NNs is utilized to construct a state observer and address the algebraic loop problem. To reduce the communication burden and the signal transmission frequency, the event-triggered mechanism and the encoding-decoding strategy are proposed with the help of a backstepping control technique. To encode and decode the event-triggering control signal, a one-bit signal transmission strategy is adopted to consume less communication bandwidth. Then, by estimating the unknown constants in the differential equation of unknown hysteresis, the effect caused by unknown backlash-like hysteresis is compensated for nonlinear LSSs. Moreover, the violation of full-state constraints is prevented based on the barrier Lyapunov functions and all signals of the closed-loop system are proven to be semiglobally ultimately uniformly bounded. Finally, two simulation examples are given to illustrate the effectiveness of the developed strategy.
    Language English
    Publishing date 2021-11-09
    Publishing country United States
    Document type Journal Article
    ISSN 2168-2275
    ISSN (online) 2168-2275
    DOI 10.1109/TCYB.2020.2997943
    Database MEDical Literature Analysis and Retrieval System OnLINE

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