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Verifying Weak and Strong k-Step Opacity in Discrete-Event Systems 离散事件系统的弱和强k步不透明性验证
Pub Date : 2022-04-04 DOI: 10.48550/arXiv.2204.01286
Jivr'i Balun, Tomas Masopust
Opacity is an important system-theoretic property expressing whether a system may reveal its secret to a passive observer (an intruder) who knows the structure of the system but has only limited observations of its behavior. Several notions of opacity have been discussed in the literature, including current-state opacity, k-step opacity, and infinite-step opacity. We investigate weak and strong k-step opacity, the notions that generalize both current-state opacity and infinite-step opacity, and ask whether the intruder is not able to decide, at any instant, when respectively whether the system was in a secret state during the last k observable steps. We design a new algorithm verifying weak k-step opacity, the complexity of which is lower than the complexity of existing algorithms and does not depend on the parameter k, and show how to use it to verify strong k-step opacity by reducing strong k-step opacity to weak k-step opacity. The complexity of the resulting algorithm is again better than the complexity of existing algorithms and does not depend on the parameter k.
不透明性是一个重要的系统理论性质,表示一个系统是否可能向一个知道系统结构但对其行为只有有限观察的被动观察者(入侵者)透露它的秘密。文献中讨论了几种不透明度的概念,包括当前状态不透明度,k步不透明度和无限步不透明度。我们研究弱和强k步不透明度,即当前状态不透明度和无限步不透明度的概化概念,并询问入侵者是否能够在任意时刻分别决定系统在最后k个可观察步骤中是否处于秘密状态。我们设计了一种新的验证弱k步不透明度的算法,该算法的复杂度低于现有算法的复杂度,并且不依赖于参数k,并展示了如何通过将强k步不透明度降低到弱k步不透明度来验证强k步不透明度。结果算法的复杂度再次优于现有算法的复杂度,并且不依赖于参数k。
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引用次数: 3
Arbitrary order differentiator with varying homogeneity degree 变齐度任意阶微分器
Pub Date : 2022-04-01 DOI: 10.1016/j.automatica.2021.110111
M. Ghanes, J. Moreno, J. Barbot
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引用次数: 6
Homotopic policy iteration-based learning design for unknown linear continuous-time systems 基于同伦策略迭代的未知线性连续系统学习设计
Pub Date : 2022-04-01 DOI: 10.1016/j.automatica.2021.110153
Ci Chen, F. Lewis, Bo Li
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引用次数: 11
Cluster partitioning of heterogeneous multi-agent systems 异构多智能体系统的集群划分
Pub Date : 2022-04-01 DOI: 10.1016/j.automatica.2021.110136
Mattia Mattioni, S. Monaco
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引用次数: 12
Output regulation for a heat equation with unknown exosystem 未知系外热方程的输出调节
Pub Date : 2022-04-01 DOI: 10.1016/j.automatica.2022.110159
B. Guo, Renren Zhao
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引用次数: 10
Event-triggered fault detection for nonlinear semi-Markov jump systems based on double asynchronous filtering approach 基于双异步滤波方法的非线性半马尔可夫跳变系统事件触发故障检测
Pub Date : 2022-04-01 DOI: 10.1016/j.automatica.2021.110144
Linchuang Zhang, Yonghui Sun, Hongyi Li, Hongjing Liang, Jianxi Wang
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引用次数: 30
On extended state estimation for nonlinear uncertain systems with round-robin protocol 基于循环协议的非线性不确定系统的扩展状态估计
Pub Date : 2022-04-01 DOI: 10.1016/j.automatica.2021.110154
Yong Xu, Weijun Lv, Weiqun Lin, Renquan Lu, D. Quevedo
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引用次数: 21
Linear system identification using the sequential stabilizing spline algorithm 线性系统辨识的序贯稳定样条算法
Pub Date : 2022-04-01 DOI: 10.1016/j.automatica.2022.110169
G. Pillonetto, A. Chiuso
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引用次数: 2
Hybrid domain decomposition filters for advection-diffusion PDEs with mobile sensors 带有移动传感器的平流扩散偏微分方程的混合域分解滤波器
Pub Date : 2022-04-01 DOI: 10.1016/j.automatica.2021.110109
Weiwei Hu, M. Demetriou, Xin Tian, N. Gatsonis
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引用次数: 4
Regularized adaptive Kalman filter for non-persistently excited systems 非持续激励系统的正则化自适应卡尔曼滤波
Pub Date : 2022-04-01 DOI: 10.1016/j.automatica.2021.110147
V. Marco, J. Kalkkuhl, J. Raisch, T. Seel
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引用次数: 6
期刊
IEEE Robotics Autom. Mag.
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