2021

最新文章

• Privatized Distributed Anomaly Detection for Large-Scale Nonlinear Uncertain Systems AI翻译
  作者：Rostampour, Vahab; Ferrari, Riccardo M. G.; Teixeira, Andre M. H.; Keviczky, Tamas
  作者单位：University of Groningen; Uppsala University; Delft University of Technology
  摘要：In this article two limitations in current distributed model based approaches for anomaly detection in large-scale uncertain nonlinear systems are addressed. The first limitation regards the high conservativeness of deterministic detection thresholds, against which a novel family of set-based thresholds is proposed. Such set-based thresholds are defined in a way to guarantee robustness in a user-defined probabilistic sense, rather than a deterministic sense. They are obtained by solving a chan...
• Stabilization of Aperiodic Sampled-Data Boolean Control Networks: A Delay Approach AI翻译
  作者：Sun, Liangjie; Ching, Wai-Ki; Lu, Jianquan
  作者单位：University of Hong Kong; Southeast University - China; Chengdu University
  摘要：In this article, a novel method for the global stochastic stability analysis of aperiodic sampled-data Boolean control networks (BCNs) is introduced. In our article, the sampling instants of aperiodic sampled-data control (ASDC) are uncertain and only the activation frequencies of the sampling interval are known. Using the semitensor product of matrices, a BCN under ASDC can be transformed into a Boolean network (BN) with stochastic delays. Specifically, the ASDC is represented as a delayed co...
• Learning in Restless Multiarmed Bandits via Adaptive Arm Sequencing Rules AI翻译
  作者：Gafni, Tomer; Cohen, Kobi
  作者单位：Ben-Gurion University of the Negev
  摘要：We consider a class of restless multiarmed bandit (RMAB) problems with unknown arm dynamics. At each time, a player chooses an arm out of N arms to play, referred to as an active arm, and receives a random reward from a finite set of reward states. The reward state of the active arm transits according to an unknown Markovian dynamics. The reward state of passive arms (which are not chosen to play at time t) evolves according to an arbitrary unknown random process. The objective is an arm-selec...
• Robust Filtering for 2-D Discrete-Time Switched Systems AI翻译
  作者：Ren, Wei; Xiong, Junlin
  作者单位：Chinese Academy of Sciences; University of Science & Technology of China, CAS
  摘要：In this article, we study the robust filtering problem for 2-D switched systems with convex-bounded uncertainties. The studied switched system is formulated by Fornasini-Marchesini local state-space model, and system matrices depend affinely on convex-bounded uncertain parameters. We first derive synthesis results for 2-D switched systems, which extends the existing results and lays a foundation for the robust filter design. To design the robust filter, we transform the 2-D switched system int...
• A Posteriori Probabilistic Bounds of Convex Scenario Programs With Validation Tests AI翻译
  作者：Shang, Chao; You, Fengqi
  作者单位：Tsinghua University; Cornell University
  摘要：Scenario programs have established themselves as efficient tools toward decision-making under uncertainty. To assess the quality of scenario-based solutions a posteriori, validation tests based on Bernoulli trials have been widely adopted in practice. However, to reach a theoretically reliable judgment of risk, one typically needs to collect massive validation samples. In this article, we propose new a posteriori bounds for convex scenario programs with validation tests, which are dependent on...
• Marking Predictability and Prediction in Labeled Petri Nets AI翻译
  作者：Ma, Ziyue; Yin, Xiang; Li, Zhiwu
  作者单位：Xidian University; Shanghai Jiao Tong University; Shanghai Jiao Tong University; Macau University of Science & Technology
  摘要：This article studies the marking prediction problem in labeled Petri nets. Marking prediction aims to recognize a priori that the plant will inevitably reach a given set of alert markings in finite future steps. Specifically, we require that a marking prediction procedure should have the following properties: i) no missed alarm, i.e., an alarm can always be issued before reaching an alert marking; and ii) no false alarm, i.e., once an alarm is issued, the plant will eventually reach an alert m...
• Probability-Guaranteed Envelope-Constrained Filtering for Nonlinear Systems Subject to Measurement Outliers AI翻译
  作者：Ma, Lifeng; Wang, Zidong; Hu, Jun; Han, Qing-Long
  作者单位：Nanjing University of Science & Technology; Shandong University of Science & Technology; Brunel University; Harbin University of Science & Technology; Swinburne University of Technology
  摘要：This article deals with the recursive filtering problem for nonlinear time-varying stochastic systems subject to possible measurement outliers. In order to mitigate the effects from possible abnormal measurements, we construct a filter with a saturation constraint imposed on the innovations where the saturation level is adaptively determined according to the estimation errors. Two performance indices, namely, the finite-horizon H-infinity specification and the envelope-constraint criterion wit...
• Partially Fixed Structure Determinantal Assignment Problems AI翻译
  作者：Leventides, John; Karcanias, Nicos; Livada, Maria
  作者单位：National & Kapodistrian University of Athens; City St Georges, University of London
  摘要：In this article, we deal with the study of the determinantal assignment problem (DAP) when the parameters of the compensator are not entirely free, but some of them are fixed. The problem is reduced to a restricted form of an exterior algebra problem (decomposability of multivectors), which is referred to as partial decomposability problem. We study this problem and in case that this problem has no solution, we examine the problem of approximate partial decomposability. We treat the problem of...
• Robust Output Regulation of Linear Systems by Event-Triggered Dynamic Output Feedback Control AI翻译
  作者：Liang, Dong; Huang, Jie
  作者单位：Chinese University of Hong Kong
  摘要：In this article, we study the robust output regulation problem of linear systems by an event-triggered output feedback control law. We first summarize the solvability of the linear robust output regulation problem by the internal model design. Then, we implement this continuous-time control law by an event-triggered output feedback control law together with an output-based triggering mechanism. We show that, under almost the same solvability conditions as those for the linear robust output reg...
• Model Reference DSMC With a Relative Degree Two Switching Variable AI翻译
  作者：Latosinski, Pawel; Bartoszewicz, Andrzej
  作者单位：Lodz University of Technology
  摘要：Reaching-law-based discrete sliding mode controllers are well known to be easy to tune and robust with respect to disturbance. In recent years, it has been demonstrated that their robustness can be further enhanced with the use of arbitrary relative degree sliding variables. However, reaching laws using such variables only ensure a good sliding mode performance of the system when the perturbations affecting the plant are matched, which is a very restrictive assumption. To address this issue an...