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Detectability notions for a class of finite labeled Markovian systems 一类有限标记马尔可夫系统的可检测性概念
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-03-07 DOI: 10.1016/j.nahs.2025.101586
Dimitri Lefebvre , Carla Seatzu , Christoforos N. Hadjicostis , Alessandro Giua
This paper is about state estimation in a timed probabilistic setting. A reference model, namely a labeled timed probabilistic automaton, is used for this purpose and an a posteriori probability vector is defined based on a sequence of observations and their associated time stamps that have been collected thus far. The observable language of the considered system is assumed to be live. The main contribution of the paper is to introduce and characterize some basic detectability notions for timed stochastic systems: (i) event detectability, which implies that the system becomes detectable at the time instant of each new observation but may lose the detectability property between two observations, and (ii) silent detectability, which implies that the system becomes detectable when no observation is collected within an arbitrary large duration. Relaxed notions of detectability are also studied: first, assuming that, given a threshold, the a priori probability that an observed timed sequence leads to an exact reconstruction of the state, is larger than or equal to that threshold; second, by replacing the estimation of single states by the estimation of classes formed by several states.
本文研究了时间概率条件下的状态估计问题。参考模型,即标记的时间概率自动机,用于此目的,并根据迄今为止收集的一系列观测结果及其相关时间戳定义后验概率向量。假定所考虑的系统的可观察语言是活的。本文的主要贡献是介绍和描述了时间随机系统的一些基本可探测性概念:(i)事件可探测性,这意味着系统在每次新观测的时间瞬间变得可探测,但在两次观测之间可能失去可探测性;(ii)无声可探测性,这意味着系统在任意大的持续时间内没有收集到观测时变得可探测。本文还研究了可探测性的放宽概念:首先,假设给定一个阈值,观察到的时间序列导致状态精确重构的先验概率大于或等于该阈值;第二,用对由多个状态组成的类的估计取代对单个状态的估计。
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引用次数: 0
Fixed-time intermittent control for a class of switched chaotic systems 一类切换混沌系统的定时间歇控制
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-02-27 DOI: 10.1016/j.nahs.2025.101587
Luxia Han, Runzi Luo, Panpan Zhang, Xianzhou Liu, Shuai Liu, Zijun Song
This paper is a pilot study on the fixed-time stability of switched chaotic systems via the intermittent control. Some novel fixed-time stability theorems that generalize some previous related research works and have a broad application prospect, are proposed. According to the proposed fixed-time stability theorems, a new intermittent switching controller for reducing information transmission and saving control energy is provided to achieve the fixed-time stability of the considered switched chaotic systems. In addition, numerical simulations are conducted to verify the correctness of resulting conclusion.
本文是利用间歇控制方法研究切换混沌系统的定时稳定性的初步研究。提出了一些新的固定时稳定性定理,这些定理推广了前人的相关研究成果,具有广阔的应用前景。根据所提出的定时稳定性定理,提出了一种减少信息传输和节省控制能量的间歇切换控制器,以实现所考虑的切换混沌系统的定时稳定性。并通过数值模拟验证了所得结论的正确性。
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引用次数: 0
Stabilization of unstable impulsive systems via stochastic discrete-time feedback control with Lévy noise 带lsamvy噪声的不稳定脉冲系统的随机离散反馈镇定
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-02-22 DOI: 10.1016/j.nahs.2025.101585
Mengmeng Zhang, Quanxin Zhu
It is universally acknowledged that noise can stabilize systems. Given an unstable impulsive system, can it be stabilized by Lévy noise? In this article, we mainly discuss the stochastic stabilization of unstable impulsive systems via Lévy noise. First, the conditions for p-moment exponential stability of unstable impulsive systems under continuous-time feedback control with Lévy noise are derived using the Lyapunov function method. Second, the almost sure exponentially stable conditions for the unstable impulsive systems under discrete-time feedback control with Lévy noise are derived through the comparison method. Additionally, several new stochastic stabilization strategies are proposed to design stochastic discrete-time feedback control for deriving almost sure exponentially stable results through stochastic analysis. Finally, two examples and their relevant simulation figures are given to check the validity of the results.
众所周知,噪声可以稳定系统。给定一个不稳定的脉冲系统,它能否被勒维噪声稳定呢?本文主要讨论通过莱维噪声实现不稳定脉冲系统的随机稳定。首先,利用莱维噪声的连续时间反馈控制,推导了不稳定脉冲系统的 p时刻指数稳定条件。其次,通过比较法推导了具有 Lévy 噪声的离散时间反馈控制下不稳定脉冲系统的几乎确定的指数稳定条件。此外,还提出了几种新的随机稳定策略,用于设计随机离散时间反馈控制,通过随机分析得出几乎确定的指数稳定结果。最后,给出了两个实例及其相关仿真数据,以检验结果的正确性。
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引用次数: 0
Reachability analysis of recurrent neural networks 递归神经网络的可达性分析
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-02-21 DOI: 10.1016/j.nahs.2025.101581
Sung Woo Choi , Yuntao Li , Xiaodong Yang , Tomoya Yamaguchi , Bardh Hoxha , Georgios Fainekos , Danil Prokhorov , Hoang-Dung Tran
The paper proposes a new sparse star set representation and extends the recent star reachability method to verify the robustness of vanilla, long short-term memory (LSTM), and gated recurrent units (GRU) recurrent neural networks (RNNs) for safety-critical applications. RNNs are a popular machine learning method for various applications, but they are vulnerable to adversarial attacks, where slightly perturbing the input sequence can lead to an unexpected result. Recent notable techniques for verifying RNNs include unrolling and invariant inference approaches. The first method has scaling issues since unrolling an RNN creates a large feedforward neural network. The second method, using invariant sets, has better scalability but can produce unknown results due to the accumulation of over-approximation errors over time. This paper introduces a complementary verification method for RNNs that is both sound and complete. A relaxation parameter can be used to convert the method into a fast over-approximation method that still provides soundness guarantees. The vanilla RNN verification method is designed to be used with NNV, a tool for verifying deep neural networks and learning-enabled cyber–physical systems, while the verification approach of LSTM and GRU RNNs are implemented on StarV. Compared to state-of-the-art methods for verifying a vanilla RNN, the extended exact reachability method is 10× faster, and the over-approximation method is 100× to 5000× faster. Although the sparse star set is slow compared to state-of-the-art methods, it was able to verify more robust cases in general than them.
本文提出了一种新的稀疏星集表示,并扩展了最近的星可达性方法来验证vanilla、长短期记忆(LSTM)和门控循环单元(GRU)递归神经网络(rnn)在安全关键应用中的鲁棒性。rnn是一种流行的机器学习方法,适用于各种应用,但它们容易受到对抗性攻击,其中稍微干扰输入序列可能导致意想不到的结果。最近验证rnn的著名技术包括展开和不变推理方法。第一种方法有缩放问题,因为展开RNN会创建一个大的前馈神经网络。第二种方法使用不变集,具有更好的可伸缩性,但由于随着时间的推移过度逼近误差的积累,可能产生未知的结果。本文介绍了一种既健全又完备的rnn互补验证方法。可以使用松弛参数将该方法转换为快速的过逼近方法,但仍能提供可靠性保证。香草RNN验证方法被设计为与NNV一起使用,NNV是一种验证深度神经网络和支持学习的网络物理系统的工具,而LSTM和GRU RNN的验证方法则在StarV上实现。与最先进的验证香草RNN的方法相比,扩展精确可达性方法快了10倍,过度逼近方法快了100倍到5000倍。尽管与最先进的方法相比,稀疏星集的速度较慢,但总的来说,它能够验证比它们更健壮的情况。
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引用次数: 0
Chaotic dynamics of three-dimensional piecewise linear systems with sliding heteroclinic cycles 具有滑动异斜周期的三维分段线性系统的混沌动力学
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-02-13 DOI: 10.1016/j.nahs.2025.101584
Zhe Zhao, Tiantian Wu
This paper explores chaotic dynamics in a class of three-dimensional piecewise linear systems with sliding heteroclinic cycles which are composed of two sliding heteroclinic orbits connecting two saddle-foci or a saddle-focus and a saddle. The system with a sliding heteroclinic cycle connecting two saddle-foci has infinite chaotic invariant sets under an eigenvalue condition, while the existence of chaotic invariant sets for the system with a sliding heteroclinic cycle connecting a saddle-focus and a saddle needs an additional condition except for an eigenvalue condition.
本文研究了一类具有滑动异斜环的三维分段线性系统的混沌动力学,该系统由两个滑动异斜轨道连接两个鞍点或一个鞍点和一个鞍点。连接两个鞍焦点的滑动异斜环系统在特征值条件下具有无限混沌不变量集,而连接鞍焦点和鞍的滑动异斜环系统混沌不变量集的存在性除了特征值条件外还需要一个附加条件。
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引用次数: 0
Recurrent output tracking of Boolean networks 布尔网络的循环输出跟踪
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-02-13 DOI: 10.1016/j.nahs.2025.101583
Chunfeng Jiang , Shihua Fu , Carmen Del Vecchio , Biao Wang , Jianjun Wang , Jianli Zhao
This paper addresses the recurrent output tracking problem (ROTP) in Boolean networks (BNs), that is the property of systems output to intermittently and infinitely track a desired reference signal over long-term operation. Leveraging the semi-tensor product of matrices as the primary analytical tool, the study proposes solvability criteria for ROTP in both BNs and Boolean control networks (BCNs), and proposes algorithms to identify all states that enable recurrent tracking of the reference signal in these systems. Additionally, a truth matrix-based method is used to design state feedback controllers, ensuring ROTP solvability for BCNs initiating from such states. The study also explores the periodicity of the recurrent output tracking in B(C)Ns, demonstrating that the output tracking problem is a specific instance of the ROTP. The effectiveness of the proposed methods and results is validated through illustrative examples.
本文研究了布尔网络中的循环输出跟踪问题(ROTP),即系统输出在长期运行中间歇性地、无限地跟踪期望的参考信号的特性。利用矩阵的半张量积作为主要的分析工具,该研究提出了BNs和布尔控制网络(bcn)中ROTP的可解性准则,并提出了识别这些系统中能够循环跟踪参考信号的所有状态的算法。此外,采用基于真值矩阵的方法设计状态反馈控制器,确保从这些状态初始化的bcn的ROTP可解性。研究还探讨了B(C)Ns循环输出跟踪的周期性,表明输出跟踪问题是ROTP的一个具体实例。通过算例验证了所提方法和结果的有效性。
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引用次数: 0
Bifurcation analysis and sliding mode control of a singular piecewise-smooth prey–predator model with distributed delay 具有分布式延迟的奇异片滑捕食者-捕食者模型的分岔分析和滑模控制
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-02-12 DOI: 10.1016/j.nahs.2025.101582
Yue Zhang, Xin Ai, Zhenlei Li, Jie Gao
In this paper, the piecewise-smooth functional response function and distributed delay are used to describe the memory effect of predators and capture law when the abundance of prey changes greatly in ecosystems more realistically. A singular piecewise-smooth prey–predator model with distributed delay is studied. Considering the growth and loss rate of the predator much smaller than that of the prey, the model is described by a fast–slow system that mathematically leads to a singular perturbation problem. The dynamic behavior of the fast–slow system with distributed delay, piecewise smooth is novel and interesting. The system undergoes a Hopf bifurcation where the interior equilibrium becomes unstable leading to a stable limit cycle. As the perturbation parameter decreases, the co-existence equilibrium has a transition from the unstable node to the stable node which leads multiple relaxation oscillations occurring. This study reveals the occurrence of boundary equilibrium bifurcations, enriching the understanding of predator–prey dynamics. In addition, a sliding mode controller is designed in the fast–slow predator–prey system to make the periodic trajectory tend to the internal equilibrium point. Taking the predator–prey relationship between insect and bird as an example, numerical simulations are provided to verify the theoretical results.
本文采用分段平滑函数响应函数和分布延迟来更真实地描述生态系统中猎物丰度发生较大变化时捕食者的记忆效应和捕获规律。研究了一种具有分布延迟的奇异分段平滑捕食-捕食模型。考虑到捕食者的生长率和损失率远小于猎物的生长率和损失率,该模型用一个快慢系统来描述,该系统在数学上导致一个奇异摄动问题。具有分布延迟、分段平滑的快慢系统的动态行为是一个新颖而有趣的问题。系统发生Hopf分岔,系统内部平衡变得不稳定,导致系统出现稳定的极限环。随着扰动参数的减小,共存平衡从不稳定节点向稳定节点过渡,导致多次松弛振荡的发生。该研究揭示了边界平衡分岔的发生,丰富了对捕食者-猎物动力学的认识。此外,在快慢捕食者-猎物系统中设计滑模控制器,使周期轨迹趋于内部平衡点。以昆虫和鸟类之间的捕食关系为例,通过数值模拟验证了理论结果。
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引用次数: 0
Stationary distribution and sliding mode control on a stochastic hybrid epidemic model with telegraph noise 带电报噪声的随机混合流行病模型的平稳分布与滑模控制
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-02-10 DOI: 10.1016/j.nahs.2025.101580
Xiju Wu , Yue Zhang , Xinzhu Yan
In this paper, we investigate a stochastic hybrid epidemic model with alert effects and telegraph noise. The existence and uniqueness of global positive solution is discussed, and the sufficient conditions for the average persistence and ergodic stationary distribution are obtained. Furthermore, a sliding-mode controller is designed to prevent the large-scale spread of the epidemic. Finally, number simulations are employed to illustrate the theoretical analysis.
本文研究了一个具有警报效应和电报噪声的随机混合流行病模型。讨论了全局正解的存在唯一性,得到了全局正解平均持续和遍历平稳分布的充分条件。此外,还设计了滑模控制器,以防止疫情的大规模传播。最后,通过数值仿真对理论分析进行了验证。
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引用次数: 0
Privacy-preserving resilient bipartite consensus of multi-agent systems: A differential privacy scheme 多智能体系统的隐私保护弹性二部共识:一种差分隐私方案
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-02-06 DOI: 10.1016/j.nahs.2025.101579
Ran Tian, Jie Mei, Guangfu Ma
This paper addresses the issue of differential privacy-preserving in multi-agent systems (MASs) with the existence of misbehaving agents and antagonistic interactions over a signed digraph. Even with the existence of a maximum of f faulty agents within the network, non-faulty agents pursue resilient bipartite consensus, with the requirement that their initial conditions can fulfill differential privacy. To this end, we propose the differentially private absolute weighted mean subsequence reduced (DP-AW-MSR) algorithm. Under the structurally balanced signed digraph with sufficient connectivity in terms of robustness, three essential properties of this algorithm are characterized: resilient bipartite consensus, accuracy and differential privacy. Numerical simulation is given to illustrate the effectiveness of our findings.
本文讨论了多智能体系统(MASs)中存在行为不端的智能体和在有向图上的对抗交互的微分隐私保护问题。即使网络中存在最多f个故障代理,无故障代理也会追求弹性二部共识,要求其初始条件能够满足差分隐私。为此,我们提出了差分私有绝对加权平均子序列缩减(DP-AW-MSR)算法。在鲁棒性方面具有足够连通性的结构平衡签名有向图下,该算法具有弹性二部一致性、准确性和差分隐私性三个基本特性。数值模拟结果说明了本文研究结果的有效性。
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引用次数: 0
Sure robust global versus robust global almost sure convergence: Implementing a dynamic random coefficient selection in a quaternion-hysteresis-based distributed hybrid algorithm 鲁棒全局与鲁棒全局几乎肯定收敛:在基于四元数-滞后的分布式混合算法中实现动态随机系数选择
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-01-31 DOI: 10.1016/j.nahs.2025.101578
Dandan Zhang , Xin Jin , Hongye Su
By employing Lyapunov-like conditions along with the stochastic invariance principle, we develop a quaternion-hysteresis-based distributed stochastic hybrid feedback algorithm aimed at achieving robust global attitude synchronization, addressing both sure and almost sure convergence. The distributed hybrid algorithm integrates a hybrid control variable that experiences continuous changes and instantaneous resets according to a unit quaternion-based reset rule and the associated hysteresis-based conditions. In this hysteresis-based hybrid framework, by treating the reset coefficients as random variables, these coefficients introduce the unique source of randomness; these coefficients are dynamically and randomly selected by the reset rule, leading to varying hysteresis half-widths and, consequently, different nominal levels of robustness; the orientation of the spring force, which reversely pulls the rigid body along the rotation axis to prevent the unwinding phenomenon, is determined by the deterministic sign of the hybrid control variable, whereas the hysteresis half-widths can delay this pulling. By dynamically and randomly adjusting the stochastic hysteresis half-widths, we create a flexible tradeoff between mitigating the amount of unwinding and enhancing the nominal level of robustness to measurement noise. By imposing different constraints on the support domain of random reset coefficients, the hybrid algorithm achieves both sure robust global and robust global almost sure attitude synchronization.
通过采用类李雅普诺夫条件和随机不变性原理,我们开发了一种基于四元数-滞后的分布式随机混合反馈算法,旨在实现鲁棒的全球姿态同步,解决确定性和几乎确定性收敛问题。分布式混合算法集成了一个混合控制变量,该控制变量根据基于单位四元数的重置规则和相关的基于滞后的条件进行连续变化和瞬时重置。在这种基于迟滞的混合框架中,通过将重置系数作为随机变量处理,这些系数引入了唯一的随机性来源;这些系数是由重置规则动态和随机选择的,导致不同的滞后半宽度,因此,不同的名义鲁棒性水平;弹簧力的方向由混合控制变量的确定性符号决定,弹簧力沿着旋转轴反向拉动刚体以防止放卷现象,而滞后半宽度可以延迟这种拉动。通过动态和随机调整随机滞后半宽度,我们在减轻unwind量和增强对测量噪声的标称鲁棒性水平之间创建了一个灵活的权衡。通过对随机重置系数支持域施加不同的约束,混合算法实现了鲁棒全局和鲁棒全局几乎确定的姿态同步。
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引用次数: 0
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Nonlinear Analysis-Hybrid Systems
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