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A Nonaugmented Method for the Minimal Observability of Boolean Networks. 布尔网络最小可观测性的非增强方法
IF 9.4 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-10-02 DOI: 10.1109/TCYB.2024.3464642
Yifeng Li, Baoyu Liu, Xuewen Liu, Zhichun Yang, Yongduan Song

This article proposes a nonaugmented method for investigating the minimal observability problem of Boolean networks (BNs). This method can be applied to more general BNs and reduce the computational and space complexity of existing results. First, unobservable states concerning an unobservable BN are classified into three categories using the vertex-colored state transition graph, each accompanied by a necessary and sufficient condition for determining additional measurements to make them distinguishable. Then, an algorithm is designed to identify the additional measurements that would render an unobservable BN observable using the conditions. Next, to determine the minimum added measurements, a necessary and sufficient condition and an algorithm based on a constructed matrix are presented. Finally, the results obtained are compared with existing literature and illustrated with examples.

本文提出了一种研究布尔网络(BN)最小可观测性问题的非增量方法。该方法可应用于更一般的布尔网络,并降低现有结果的计算和空间复杂性。首先,利用顶点着色状态转换图将不可观测 BN 的不可观测状态分为三类,每一类都附有确定额外测量的必要条件和充分条件,以使它们可以区分。然后,我们设计了一种算法,利用这些条件确定能使不可观测 BN 变得可观测的附加测量值。接下来,为了确定最小的附加测量值,提出了一个必要和充分条件,以及一种基于构建矩阵的算法。最后,将获得的结果与现有文献进行比较,并用实例进行说明。
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引用次数: 0
Event-Triggered Data-Driven Security Formation Control for Quadrotors Under Denial-of-Service Attacks and Communication Faults. 拒绝服务攻击和通信故障情况下四旋翼飞行器的事件触发数据驱动安全编队控制。
IF 9.4 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-10-02 DOI: 10.1109/TCYB.2024.3467178
Ziming Ren, Hao Liu, Guanghui Wen, Jinhu Lu

In this article, the security formation control problem is investigated for underactuated quadrotors involving nonlinear coupled dynamics, subject to denial-of-service (DoS) attacks and uncertain communication faults. A security formation control method is proposed, including a distributed resilient observer and a hierarchical data-driven controller. The observer with an adaptive event-triggered mechanism is developed to restrain the influence of DoS and communication faults on interaction information among quadrotors, and Zeno behavior of all observers can be avoided. The optimal control laws are learned iteratively based on observation data and system data by utilizing reinforcement learning without knowledge of system dynamics. The stability of the constructed closed-loop control system is proven, and sufficient conditions are established for the unreliable network. Simulation results demonstrate the advantages of the proposed security control method.

本文研究了涉及非线性耦合动力学、受拒绝服务(DoS)攻击和不确定通信故障影响的欠驱动四旋翼飞行器的安全编队控制问题。本文提出了一种安全编队控制方法,包括分布式弹性观测器和分层数据驱动控制器。开发了具有自适应事件触发机制的观测器,以抑制 DoS 和通信故障对四旋翼飞行器之间交互信息的影响,并可避免所有观测器的 Zeno 行为。在不了解系统动态的情况下,利用强化学习,根据观测数据和系统数据迭代学习最优控制法则。构建的闭环控制系统的稳定性得到了证明,并为不可靠网络建立了充分条件。仿真结果证明了所提出的安全控制方法的优势。
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引用次数: 0
Decentralized Event-Triggered Tracking Control for Unmatched Interconnected Systems via Particle Swarm Optimization-Based Adaptive Dynamic Programming 通过基于粒子群优化的自适应动态编程实现不匹配互联系统的分散事件触发跟踪控制
IF 9.4 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-10-01 DOI: 10.1109/TCYB.2024.3462718
Chong Liu;Zhousheng Chu;Zhongxing Duan;Huaguang Zhang;Zongfang Ma
The problem of the large-scale interconnected system (LSIS) control is prevalent in practical engineering and is becoming increasingly complex. In this article, we propose a novel decentralized event-triggered tracking control (ETTC) strategy for a class of continuous-time nonlinear LSIS with unmatched interconnected terms and asymmetric input constraints. First, auxiliary subsystems are established to address the unmatched cross-linking terms. Next, the dynamics states of the tracking error and the exosystem are combined to construct a nominal augmented subsystem. By employing a nonquadratic performance function, the input-constrained decentralized tracking control problem is transformed into an optimal control problem for the nominal augmented subsystem. A group of independent parameters and event-triggered conditions are designed to save communication bandwidth and computational resources. Subsequently, the critic-only adaptive dynamic programming (ADP) method is used to solve the Hamilton-Jacobi–Bellman equation (HJBE) associated with the optimal control problem. To improve training success rate, the weights of the critic neural network (NN) are updated by introducing a particle swarm optimization algorithm (PSOA). The tracking error and the NN weights are proved to be uniformly ultimately bounded (UUB) under the proposed ETTC by using the Lyapunov extension theorem. Finally, the simulation example of an unmatched interconnected system is provided to verify the validity of the proposed decentralized method.
大规模互联系统(LSIS)控制问题在实际工程中非常普遍,而且变得越来越复杂。本文针对一类具有不匹配互联项和非对称输入约束的连续时间非线性 LSIS,提出了一种新颖的分散事件触发跟踪控制(ETTC)策略。首先,建立辅助子系统来处理不匹配的交叉连接项。然后,将跟踪误差和外系统的动态状态结合起来,构建一个名义增强子系统。通过采用非二次方性能函数,输入受限的分散跟踪控制问题被转化为名义增强子系统的最优控制问题。为节省通信带宽和计算资源,设计了一组独立参数和事件触发条件。随后,采用批判性自适应动态编程(ADP)方法来求解与最优控制问题相关的汉密尔顿-雅各比-贝尔曼方程(HJBE)。为了提高训练成功率,通过引入粒子群优化算法(PSOA)来更新批判神经网络(NN)的权重。通过利用 Lyapunov 扩展定理,证明了在所提出的 ETTC 下,跟踪误差和神经网络权重是均匀最终有界的(UUB)。最后,提供了一个无匹配互联系统的仿真实例,以验证所提分散方法的有效性。
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引用次数: 0
Composite Anti-Disturbance Control for Nonlinear Hidden Markov Jump Systems Under Replay Attacks: A Dynamic Output-Feedback Method 重放攻击下非线性隐马尔可夫跳跃系统的复合抗干扰控制:一种动态输出反馈方法
IF 9.4 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-10-01 DOI: 10.1109/TCYB.2024.3455935
Dongji Wang;Shengyuan Xu
This article is dedicated to researching the problem of composite anti-disturbance control for nonlinear hidden Markov jump systems, described by the interval type-2 Takagi-Sugeno fuzzy method, under replay attacks in the continuous-time domain. Based on dynamic output feedback control and disturbance observer, a fuzzy composite controller, following the core idea of nonparallel distribution compensation, is designed to compensate for the impact of multiple disturbances. For replay attacks, a multisensor scheme with the detection mechanism is introduced, enabling the studied systems to remain stable even under attacks. Afterward, with the aid of the Lyapunov stability theory, sufficient conditions for ensuring the stability of the resulting systems are deduced, and then the gains of the desired controller and disturbance observer are obtained. Finally, the rationality and effectiveness of the established method are demonstrated through simulation, as well as its superiority over the traditional ${mathcal {H}}_{infty }$ control method.
本文致力于研究连续时域重放攻击下,用区间-2型Takagi-Sugeno模糊方法描述的非线性隐马尔可夫跃迁系统的复合抗干扰控制问题。基于动态输出反馈控制和扰动观测器,设计了一种模糊复合控制器,遵循非平行分布补偿的核心思想,以补偿多重扰动的影响。针对重放攻击,引入了具有检测机制的多传感器方案,使所研究的系统即使在攻击下也能保持稳定。随后,借助李雅普诺夫稳定性理论,推导出确保所研究系统稳定性的充分条件,进而得到所需的控制器和扰动观测器的增益。最后,通过仿真证明了所建立方法的合理性和有效性,以及与传统 ${mathcal {H}}_{infty }$ 控制方法相比的优越性。
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引用次数: 0
Finite-Time Neuroadaptive Cooperative Control for Nonlinear Multiagent Systems Under Nonaffine Faults and Partially Unknown Control Directions 非线性故障和部分未知控制方向下非线性多代理系统的有限时间神经自适应合作控制
IF 11.8 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-10-01 DOI: 10.1109/tcyb.2024.3462832
Shuai Cheng, Bin Xin, Qing Wang, Jie Chen, Fang Deng
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引用次数: 0
Adaptive Fuzzy Tracking Control for Switched Nonlinear Systems Under FDI Attacks and Input Saturation: A Flexible Transient Performance Approach FDI 攻击和输入饱和状态下开关非线性系统的自适应模糊跟踪控制:灵活的瞬态性能方法
IF 11.8 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-10-01 DOI: 10.1109/tcyb.2024.3463689
Guangdeng Zong, Hongzhen Xie, Dong Yang, Xudong Zhao, Yang Yi
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引用次数: 0
OStr-DARTS: Differentiable Neural Architecture Search Based on Operation Strength OStr-DARTS:基于操作强度的可变神经架构搜索
IF 9.4 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-09-27 DOI: 10.1109/TCYB.2024.3455760
Le Yang;Ziwei Zheng;Yizeng Han;Shiji Song;Gao Huang;Fan Li
Differentiable architecture search (DARTS) has emerged as a promising technique for effective neural architecture search, and it mainly contains two steps to find the high-performance architecture. First, the DARTS supernet that consists of mixed operations will be optimized via gradient descent. Second, the final architecture will be built by the selected operations that contribute the most to the supernet. Although DARTS improves the efficiency of neural architecture search (NAS), it suffers from the well-known degeneration issue which can lead to deteriorating architectures. Existing works mainly attribute the degeneration issue to the failure of its supernet optimization, while little attention has been paid to the selection method. In this article, we cease to apply the widely-used magnitude-based selection method and propose a novel criterion based on operation strength that estimates the importance of an operation by its effect on the final loss. We show that the degeneration issue can be effectively addressed by using the proposed criterion without any modification of supernet optimization, indicating that the magnitude-based selection method can be a critical reason for the instability of DARTS. The experiments on NAS-Bench-201 and DARTS search spaces show the effectiveness of our method.
可微分架构搜索(DARTS)是一种很有前途的有效神经架构搜索技术,它主要包括两个步骤来寻找高性能架构。首先,通过梯度下降优化由混合运算组成的 DARTS 超网。其次,通过选择对超网络贡献最大的操作来构建最终架构。虽然 DARTS 提高了神经架构搜索(NAS)的效率,但它也存在众所周知的退化问题,可能导致架构退化。现有研究主要将退化问题归咎于其超网优化的失败,而很少关注其选择方法。在本文中,我们不再采用广泛使用的基于幅度的选择方法,而是提出了一种基于操作强度的新标准,该标准通过操作对最终损耗的影响来估算操作的重要性。我们的研究表明,使用提出的标准可以有效解决退化问题,而无需对超网优化进行任何修改,这表明基于幅度的选择方法可能是导致 DARTS 不稳定的关键原因。在 NAS-Bench-201 和 DARTS 搜索空间上的实验表明了我们方法的有效性。
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引用次数: 0
Diff-MTS: Temporal-Augmented Conditional Diffusion-Based AIGC for Industrial Time Series Toward the Large Model Era Diff-MTS:迈向大型模型时代的基于时间增强条件扩散的工业时间序列 AIGC
IF 11.8 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-09-27 DOI: 10.1109/tcyb.2024.3462500
Lei Ren, Haiteng Wang, Yuanjun Laili
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引用次数: 0
Resilient Consensus for Discrete-Time Multiagent Systems With a Dynamic Leader and Time Delay: Theory and Experiment 具有动态领导者和时间延迟的离散时间多代理系统的弹性共识:理论与实验
IF 9.4 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-09-25 DOI: 10.1109/TCYB.2024.3464490
Yue Wang;Liang Han;Xiaoduo Li;Pengkun Hao;Zhang Ren
The ever-present cyber-attacks have posed a significant challenge to consensus of multiagent systems (MASs), due to their capability of compromising agents. These threats underscore the critical need to design control strategies that can endow MASs with resilience. In this article, we address resilient consensus problems for first- and second-order discrete-time MASs, considering the presence of malicious agents, a dynamic leader, and communication delay. First, a resilient controller is designed for first-order MASs, and sufficient conditions are derived based on existing robust graph concepts to achieve consensus with ultimately bounded error. Next, since the derived error bound grows factorially with the system scale, a novel graph structure and a modified controller are proposed to limit the growth to a linear rate. Building upon the obtained results, an estimator-based control framework is introduced to solve resilient consensus problems for second-order MASs. Finally, comparative simulations and practical experiments based on unmanned ground vehicles and unmanned-aerial-vehicles are conducted to validate the effectiveness and practicability of the proposed control methods.
无处不在的网络攻击对多代理系统(MAS)的共识提出了重大挑战,因为它们有能力破坏代理。这些威胁凸显了设计能够赋予 MAS 弹性的控制策略的迫切需要。在本文中,我们将考虑恶意代理、动态领导者和通信延迟的存在,解决一阶和二阶离散时间 MAS 的弹性共识问题。首先,我们为一阶 MAS 设计了一个弹性控制器,并基于现有的鲁棒图概念推导出充分条件,以实现误差最终受限的共识。接下来,由于推导出的误差约束会随着系统规模的扩大而因数增长,因此提出了一种新颖的图结构和修改后的控制器,以将误差增长限制在线性范围内。在所得结果的基础上,引入了一个基于估算器的控制框架,以解决二阶 MAS 的弹性共识问题。最后,基于无人地面车辆和无人机进行了比较模拟和实际实验,以验证所提控制方法的有效性和实用性。
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引用次数: 0
Leader Selection in Impulsive Multiagent Systems With Switching Topologies 具有切换拓扑的冲动型多代理系统中的领导者选择
IF 9.4 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-09-25 DOI: 10.1109/TCYB.2024.3457783
Kaile Chen;Mengqi Xue;Jiahao Huang;Wen Yang;Wei Xing Zheng;Yang Tang
In leader-follower multiagent systems (MASs), seeking an efficient scheme to select a set of agents as leaders is important for realizing the expected cooperative performance. In this article, the problem of minimal leader selection is investigated for impulsive general linear MASs with switching topologies. This study focuses on selecting a set of agents as leaders that receive information from a reference signal directly, while minimizing the number of leaders, subject to consensus tracking performance. First, adopting the average dwell time technique and a time-ratio constraint, an explicit criterion for consensus tracking is derived as prepreparation for leader selection. Second, applying the submodular optimization framework, leader selection metrics are established based on the derived criterion. Third, employing the greedy rule, an efficient leader selection scheme is presented according to the established metrics. The scheme comprises two polynomial-time algorithms that return selected leader sets within a logarithmic bound of the optimum. Finally, the effectiveness of the developed leader selection scheme is verified using an illustrative example.
在领导者-追随者多代理系统(MASs)中,寻求一种有效的方案来选择一组代理作为领导者,对于实现预期的合作绩效非常重要。本文研究了具有切换拓扑的冲动型一般线性 MAS 的最小领导者选择问题。本研究的重点是选择一组直接接收参考信号信息的代理作为领导者,同时在保证一致跟踪性能的前提下尽量减少领导者的数量。首先,采用平均停留时间技术和时间比率约束,得出共识跟踪的明确标准,作为选择领导者的前期准备。其次,应用子模态优化框架,根据推导出的标准建立领导者选择指标。第三,运用贪婪规则,根据建立的指标提出了一个高效的领导者选择方案。该方案由两个多项式时间算法组成,所选领导者集的返回值在最优值的对数范围内。最后,通过一个示例验证了所开发的领导者选择方案的有效性。
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引用次数: 0
期刊
IEEE Transactions on Cybernetics
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