Asian Journal of Control最新文献

英文中文

Cooperative output regulation of heterogeneous multi‐agent systems under false data injection attacks 虚假数据注入攻击下异构多代理系统的合作输出调节

IF 2.4 4区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Asian Journal of Control

Pub Date : 2024-06-25 DOI: 10.1002/asjc.3451

Yanru Geng, Zhiyun Zhao

This paper studies the cooperative output regulation problem for heterogeneous multi‐agent systems (MASs) subject to false data injection (FDI) attacks, which means the malicious cyber‐attackers may inject false data into the communication topology randomly. To ensure that each follower agent can track the leader agent accurately, we construct both an observer and a control law for each follower agent. Since the FDI attacks may exist in the communication network, a filter with an adaptive compensator, which can estimate attack signals dynamically, is equipped for each observer, such that the filter can neutralize attacks when malicious attackers launch attacks. Therefore, the cooperative output regulation can be achieved under the control law based on the observer no matter whether there exist attacks or not. Finally, a numerical example is provided for validating the theoretical results.

本文研究了受到虚假数据注入（FDI）攻击的异构多代理系统（MASs）的合作输出调节问题，FDI 是指恶意网络攻击者可能随机向通信拓扑中注入虚假数据。为了确保每个跟随者代理都能准确跟踪领导者代理，我们为每个跟随者代理构建了观察器和控制法则。由于通信网络中可能存在 FDI 攻击，因此我们为每个观测器配备了一个带有自适应补偿器的滤波器，该滤波器可以动态估计攻击信号，从而在恶意攻击者发起攻击时抵消攻击。因此，无论是否存在攻击，基于观测器的控制法则都能实现协同输出调节。最后，还提供了一个数值示例来验证理论结果。

引用次数: 0

Predefined‐time hierarchical control for bipartite time‐varying formation tracking of networked Euler–Lagrange systems with parametric uncertainties 具有参数不确定性的网络化欧拉-拉格朗日系统双方位时变编队跟踪的预定义时间分层控制

IF 2.4 4区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Asian Journal of Control

Pub Date : 2024-06-25 DOI: 10.1002/asjc.3446

Shuang Wang, Tao Han, Bo Xiao, Xiao‐Feng Zhao, Huaicheng Yan

This paper mainly addresses the bipartite time‐varying formation tracking (BTVFT) problem for networked Euler–Lagrange systems (NELSs) with external disturbances and parametric uncertainties, considering a directed signed communication network that encompasses both cooperative and competitive interactions. A novel nonsingular sliding mode control (SMC) method serves as the foundation for a predefined‐time hierarchical control algorithm (PTHCA), introduced to tackle the BTVFT challenge for NELSs in a predefined time. This approach enables the settling time to be predetermined as a control parameter. Moreover, sufficient conditions for establishing the predefined‐time stability of closed‐loop systems are provided based on the Lyapunov argument. Simulations are conducted to demonstrate the effectiveness of the main findings.

本文主要探讨了具有外部干扰和参数不确定性的网络化欧拉-拉格朗日系统（NELS）的双方位时变编队跟踪（BTVFT）问题，考虑了包含合作与竞争交互的有向签名通信网络。一种新颖的非奇异滑模控制（SMC）方法是预定义时间分层控制算法（PTHCA）的基础，该算法用于在预定义时间内解决 NELS 的 BTVFT 挑战。这种方法可将沉降时间作为控制参数进行预定。此外，基于 Lyapunov 论证，还提供了建立闭环系统预定时间稳定性的充分条件。为了证明主要研究成果的有效性，还进行了模拟实验。

引用次数: 0

ℓ2−ℓ∞$$ {ell}_2-{ell}_{infty } $$ tracking control for multidelayed systems under accumulation‐based event‐triggered protocol ℓ2-ℓ∞$$ {ell}_2-{ell}_{infty }基于累积的事件触发协议下多延迟系统的 $$ 跟踪控制

IF 2.4 4区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Asian Journal of Control

Pub Date : 2024-06-20 DOI: 10.1002/asjc.3418

Huan Li, Guoliang Wei, Yamei Ju, Hongxiao Hu

In this paper, the tracking control problem is investigated for a class of discrete‐time multidelayed systems under the accumulation‐based event‐triggered protocol. The considered phenomena of multidelays, which are extremely common in the real world, include the time‐varying delays and the constant delays. The accumulation‐based event‐triggered protocol is deployed in the communication from sensors to the remote tracking controller in order to alleviate the communication burden. By utilizing the Lyapunov–Krasovskii functional and matrix inequality technology, sufficient conditions are presented to guarantee the exponential stability of the tracking error and the performance, and the controller gain is subsequently designed. Finally, a simulation example is conducted to verify the validity of the developed tracking control scheme.

本文研究了基于累积的事件触发协议下一类离散时间多延迟系统的跟踪控制问题。所考虑的多延迟现象在现实世界中极为常见，包括时变延迟和恒定延迟。在传感器与远程跟踪控制器的通信中采用了基于累积的事件触发协议，以减轻通信负担。通过利用 Lyapunov-Krasovskii 函数和矩阵不等式技术，提出了保证跟踪误差和性能指数稳定性的充分条件，并随后设计了控制器增益。最后，通过一个仿真实例验证了所开发的跟踪控制方案的有效性。

引用次数: 0

Finite time stability of ρ$$ rho $$‐Caputo neural network systems ρ$$ rho $$-Caputo 神经网络系统的有限时间稳定性

IF 2.4 4区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Asian Journal of Control

Pub Date : 2024-06-20 DOI: 10.1002/asjc.3447

Mohamed Rhaima, Liping Chen, Lassaad Mchiri, Abdellatif Ben Makhlouf

In this article, we will examine the finite time stability (FTS) of ‐Caputo neural network fractional systems (NNFS) with an order of . Utilizing technical inequalities such as Gronwall and Hölder inequalities, we present some FTS results. Two numerical examples are provided to illustrate the theoretical findings.

在本文中，我们将研究阶数为.的-卡普托神经网络分数系统（NNFS）的有限时间稳定性（FTS）。利用技术不等式（如格伦沃尔不等式和赫尔德不等式），我们提出了一些有限时间稳定性结果。我们提供了两个数值示例来说明理论发现。

引用次数: 0

Seven-degree-of-freedom-based electric wheel sampled-data active shimmy control method considering unknown sensor measurement error 考虑未知传感器测量误差的基于七自由度电动轮采样数据的主动抖动控制方法

IF 2.4 4区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Asian Journal of Control

Pub Date : 2024-06-17 DOI: 10.1002/asjc.3443

Qinghua Meng, Rong Liu, Zong-yao Sun, Haibin He

The active shimmy control methods for electric vehicle driven by in-wheel motors (EV-DIM) have been proposed in the recent years. However, these methods assume that data obtained from sensors are accurate, despite the fact that sensor measurements are prone to error. This unknown measurement error can make shimmy control difficult. Additionally, current shimmy models are low degree-of-freedom, which simplifies control but decreases accuracy. In this paper, we address these issues using a sampled-data output control method based on a higher seven-degree-of-freedom (7DOF) shimmy model which includes the steering system, suspension, and electric wheel. We first construct a 7DOF electric wheel shimmy model and use Lagrange's theorem to derive the electric wheel shimmy dynamic equations. We then obtain system state equations that account for unknown sensor measurement error based on the 7DOF shimmy model. A sampled-data observer and controller are designed to attenuate or eliminate the shimmy phenomenon via a domination gain. Finally, we conduct numerical simulations and experiments to verify the effectiveness of our proposed method.

近年来，人们提出了轮内电机驱动电动汽车（EV-DIM）的主动抖动控制方法。然而，这些方法都假定从传感器获得的数据是准确的，尽管事实上传感器的测量容易产生误差。这种未知的测量误差会给甩尾控制带来困难。此外，目前的晃动模型自由度较低，这虽然简化了控制，但却降低了精度。在本文中，我们使用一种基于较高的七自由度（7DOF）抖动模型（包括转向系统、悬架和电动轮）的采样数据输出控制方法来解决这些问题。我们首先构建了一个 7DOF 电动轮抖动模型，并利用拉格朗日定理推导出电动轮抖动动态方程。然后，我们根据 7DOF shimmy 模型获得系统状态方程，该方程考虑了未知传感器测量误差。我们设计了一个采样数据观测器和控制器，通过支配增益来减弱或消除抖动现象。最后，我们进行了数值模拟和实验，以验证我们所提方法的有效性。

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引用次数: 0

Security control of direct current microgrids under deception attacks—A dynamic event-triggered approach 欺骗攻击下直流微电网的安全控制--一种动态事件触发方法

IF 2.4 4区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Asian Journal of Control

Pub Date : 2024-06-17 DOI: 10.1002/asjc.3441

Fuqiang Li, Kang Li, Chen Peng, Lisai Gao

This paper studies the security control of direct current (DC) microgrids under deception attacks, and a dynamic event-triggered mechanism (DETM) is proposed to save constrained network bandwidth. The DETM can reduce the frequency of data communications and exclude Zeno behavior inherently. Then, a time-delay closed-loop system model is built, which integrates parameters of the DC microgrid, the DETM, deception attacks, injection current controller, and network-induced delays in one unified framework. Sufficient conditions are derived for globally exponentially ultimately bounded stability in mean square, which establish the relationship between system performance and the contributing factors such as the DETM, deception attacks, and network delays. Further, a co-design method is presented to derive the parameters of the controller and the DETM in just one step. Simulation results confirm the effectiveness of the proposed method for security control of DC microgrids, achieving 21.5% savings of communication resources while effectively stabilizing the system even 10.7% of the transmitted data that are manipulated by the deception attacks.

本文研究了欺骗攻击下直流（DC）微电网的安全控制，并提出了一种动态事件触发机制（DETM），以节省受限的网络带宽。DETM 可以降低数据通信频率，从本质上排除 Zeno 行为。然后，建立了一个时延闭环系统模型，将直流微电网参数、DETM、欺骗攻击、注入电流控制器和网络引起的时延整合在一个统一的框架中。推导出了均方值全局指数终极约束稳定性的充分条件，建立了系统性能与 DETM、欺骗攻击和网络延迟等促成因素之间的关系。此外，还提出了一种协同设计方法，只需一步即可得出控制器和 DETM 的参数。仿真结果证实了所提方法在直流微电网安全控制方面的有效性，在有效稳定系统的同时节省了 21.5% 的通信资源，即使 10.7% 的传输数据被欺骗攻击所操纵。

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引用次数: 0

Maximum weighted correntropy filters for nonlinear non-Gaussian systems 非线性非高斯系统的最大加权熵滤波器

IF 2.4 4区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Asian Journal of Control

Pub Date : 2024-06-17 DOI: 10.1002/asjc.3445

Jingang Liu, Wenbo Zhang, Shenmin Song

In this paper, we focus on the filtering issue for nonlinear non-Gaussian systems. Considering the limitations of the Gaussian function with a single kernel bandwidth, we design a novel extended version called weighted Gaussian function, which consists of a weighting coefficient and two distinct kernel bandwidths. The additional coefficient can directly balance two kernel bandwidths, which improves the flexibility and performance of the correntropy. We develop a cost function utilizing the suggested weighted Gaussian function and statistical linearization method, followed by deriving a maximum weighted correntropy filter based on the maximum correntropy criterion. The proposed algorithm is demonstrated to converge to a Gaussian filter as the kernel bandwidths approach infinity. In addition, we derive the corresponding information filter, which takes the form of information matrix and information vector. It is computationally efficient and easier to generalize to multisensor systems. The performance of the proposed algorithms is compared with other filters based on the third-order spherical cubature rule and the fixed point iteration technique in a target tracking system. Simulation results confirm the effectiveness of the new approaches.

本文重点讨论非线性非高斯系统的滤波问题。考虑到单核带宽高斯函数的局限性，我们设计了一种新的扩展版本，称为加权高斯函数，它由一个加权系数和两个不同的核带宽组成。附加系数可以直接平衡两个内核带宽，从而提高了熵的灵活性和性能。我们利用建议的加权高斯函数和统计线性化方法开发了一个成本函数，然后根据最大熵准则推导出一个最大加权熵滤波器。实验证明，当核带宽接近无穷大时，所提出的算法会向高斯滤波器收敛。此外，我们还推导出了相应的信息滤波器，其形式为信息矩阵和信息向量。该算法计算效率高，更易于推广到多传感器系统。在目标跟踪系统中，我们将所提算法的性能与其他基于三阶球立方规则和定点迭代技术的滤波器进行了比较。仿真结果证实了新方法的有效性。

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引用次数: 0

Novel Caputo fractional differential approach and hybrid control scheme for finite-time synchronization of nonidentical delayed reaction–diffusion neural networks 用于非同延迟反应扩散神经网络有限时间同步的新型卡普托分数微分法和混合控制方案

IF 2.7 4区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Asian Journal of Control

Pub Date : 2024-06-17 DOI: 10.1002/asjc.3448

Hai Zhang, Chen Wang, Renyu Ye, Jinde Cao

This work focuses on the finite-time synchronization (F-TS) for nonidentical delayed neural networks (DNNs) including Caputo fractional partial differential operator and reaction–diffusion terms. A novel F-TS lemma is proposed by constructing a new Caputo differential inequality. Applying the new lemma and designing two hybrid controllers with time delay and the sign function, the F-TS criteria on the introduced Caputo reaction–diffusion nonidentical DNNs under the Neumann boundary condition are derived by making use of the Filippov differential inclusion, Green's theorem, and fractional Razumikhin theorem. The conditions are expressed through the algebraic inequality which can greatly decrease the computation in checking the F-TS performance. Moreover, the validity and correctness of the F-TS results are illustrated by selecting various orders, spatial positions, and diffusion parameters.

这项研究的重点是包含卡普托分数偏微分算子和反应扩散项的非相同延迟神经网络（DNN）的有限时间同步（F-TS）。通过构建一个新的卡普托微分不等式，提出了一个新的 F-TS 法则。在应用新的两式和设计两个具有时间延迟和符号函数的混合控制器时，利用菲利波夫微分包容、格林定理和分数拉祖米金定理，推导出了新曼边界条件下引入的卡普托反应扩散非相同 DNN 的 F-TS 准则。这些条件通过代数不等式表示，可以大大减少检查 F-TS 性能的计算量。此外，通过选择不同的阶数、空间位置和扩散参数，说明了 F-TS 结果的有效性和正确性。

引用次数: 0

Adaptive fuzzy tracking control for multiple-input multiple-output nonlinear systems with sensor faults and experiment in the flexible-joint robot 具有传感器故障的多输入多输出非线性系统的自适应模糊跟踪控制及在柔性关节机器人中的实验

IF 2.4 4区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Asian Journal of Control

Pub Date : 2024-06-17 DOI: 10.1002/asjc.3449

Junhao Yuan, Wei Sun

This paper is centered on the adaptive asymptotic tracking control of multi-input multi-output uncertain strict-feedback nonlinear systems in the presence of both multiplicative and additive sensor faults. Through adaptive accommodation techniques, the proposed control scheme can dynamically compensate for sensor faults, thereby ensuring precise and stable control. The control scheme is devised using the backstepping design that incorporates positive integrable time-varying functions, thereby ensuring the boundedness of all signals in the closed-loop system and guaranteeing that the output tracking error asymptotically converges to zero. Additionally, extensive simulations and experimental evaluations conducted on the Quanser platform with 2-link flexible-joint robots demonstrate the efficacy of the proposed control scheme in mitigating the impact of sensor faults and achieving accurate tracking performance.

本文主要研究多输入多输出不确定严格反馈非线性系统在乘法和加法传感器故障情况下的自适应渐近跟踪控制。通过自适应适应技术，所提出的控制方案可以动态补偿传感器故障，从而确保精确稳定的控制。控制方案采用反步进设计，包含正积分时变函数，从而确保闭环系统中所有信号的有界性，并保证输出跟踪误差渐近收敛为零。此外，在带有双链柔性关节机器人的 Quanser 平台上进行的大量模拟和实验评估证明，所提出的控制方案在减轻传感器故障影响和实现精确跟踪性能方面非常有效。

引用次数: 0

Resilient algorithm for distributed resource allocation under false data injection attacks 虚假数据注入攻击下的分布式资源分配弹性算法

IF 2.7 4区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Asian Journal of Control

Pub Date : 2024-06-07 DOI: 10.1002/asjc.3440

Xingzhi Chen, Xin Cai, Bingpeng Gao, Xinyuan Nan

For a first-order nonlinear multi-agent system who is subject to false data injection (FDI) attacks on agents' actuators and sensors, agents execute a distributed resource allocation algorithm according to the compromised control inputs and interactive information such that the multi-agent system is unstable and agents' decisions deviate from the optimal resource allocation. At first, we analyze the robustness of the distributed resource allocation algorithm under the FDI attacks. Then, a resilient distributed algorithm is proposed to solve the distributed resource allocation problem by resisting the adverse effect of the attacks. In detail, the unknown nonlinear term and the false data injected in agents are considered as extended states that can be estimated by extended state observers. The estimation is used in the feedback control to suppress the effect of the FDI attacks. As a result, the designed resilient algorithm ensures that agents' decisions converge to the optimal allocation without requiring any information about the nature of the attacks. An example is given to illustrate the results.

对于一阶非线性多代理系统，当代理的执行器和传感器受到虚假数据注入（FDI）攻击时，代理会根据被攻击的控制输入和交互信息执行分布式资源分配算法，从而导致多代理系统不稳定，代理的决策偏离最优资源分配。首先，我们分析了分布式资源分配算法在 FDI 攻击下的鲁棒性。然后，提出了一种弹性分布式算法，通过抵御攻击的不利影响来解决分布式资源分配问题。具体来说，未知非线性项和注入代理的虚假数据被视为扩展状态，可通过扩展状态观测器进行估计。估计结果用于反馈控制，以抑制 FDI 攻击的影响。因此，所设计的弹性算法能确保代理的决策收敛到最优分配，而不需要任何有关攻击性质的信息。下面举例说明结果。

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