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作者：Motchon, Koffi M. D.; Guelton, Kevin
摘要：This technical note addresses the discrete dynamic estimation problem in switched linear systems using the model-based minimum distance method (MB-MDM). Prior work has shown that, for this method, the state vector must be sufficiently far from the origin to guarantee an accurate estimation of the discrete dynamic, thereby confirming inherent conflicts between discrete dynamic estimation and feedback control objectives in switched systems. To enhance the accuracy of the MB-MDM, this work focuse...
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作者：Buerger, Johannes; Cannon, Mark
作者单位：BMW AG; University of Oxford
摘要：We propose a computationally efficient nonlinear model predictive control algorithm for safe, learning-based control. The system model is represented as an affine combination of basis functions with unknown parameters, and is subject to additive set-bounded disturbances. Our algorithm employs successive linearization around nominal predicted trajectories and accounts for uncertainties in predicted states due to linearization, model errors, and disturbances using ellipsoidal sets. The ellipsoid...
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作者：Dong, Yifan; Lefebvre, Dimitri; Li, Zhiwu
作者单位：Universite Le Havre Normandie; Macau University of Science and Technology
摘要：This article addresses the enforcement of a class of generalized mutual exclusion constraints (GMECs) within time constraints on time-colored Petri nets by adjusting the time restrictions of transitions with soft time intervals. Colored GMECs are defined to represent a set of markings that are determined by a subset of colors. Then, time constraints are imposed on the proposed colored GMECs to further refine the representation of state specifications in real-time systems. To enhance the modeli...
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作者：Duo, Wenli; Wang, Shouguang; Zhou, MengChu
作者单位：Zhejiang Gongshang University; Macau University of Science and Technology; Zhejiang Gongshang University
摘要：Cyber-physical systems (CPSs) are extensively utilized in industry and critical infrastructures due to their ability to facilitate mutual cooperation and interaction between physical and virtual worlds. Nevertheless, their security has been increasingly threatened by cyber attacks. Motivated by the need to address the resulting security concerns, this work studies a class of periodic sensor attacks that periodically modify sensor-readings to disrupt the performance of remote estimators in a sy...
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作者：Gallegos, Javier A.; Schlotterbeck, Constanza; Nunez, Felipe
作者单位：Pontificia Universidad Catolica de Chile; Pontificia Universidad Catolica de Chile
摘要：Robust control in multiagent systems (MASs), understood as the ability to solve a cooperative distributed task despite uncertainties and disturbances in the agents' dynamics or the shared networking environment, is a crucial aspect of the practical applicability of the MAS paradigm. In this work, novel control mechanisms involving adaptation and cooperation are proposed to enhance the robust performance of MASs. A comprehensive case study is presented to illustrate the potential of the propose...
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作者：He, Jiabao; Ziemann, Ingvar; Rojas, Cristian R.; Qin, S. Joe; Hjalmarsson, Hakan
作者单位：Royal Institute of Technology; University of Pennsylvania; Lingnan University
摘要：Subspace identification methods (SIMs) are known for their simple parameterization for MIMO systems and robust numerical properties. However, a comprehensive statistical analysis of SIMs remains an open problem. Following a three-step procedure generally used in SIMs, this work presents a finite sample analysis for open-loop SIMs. In Step 1, we begin with a parsimonious SIM. Leveraging a recent analysis of an individual ARX model, we obtain a union error bound for a Hankel-like matrix construc...
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作者：Matsui, Shoma; Bourgain-Wilbal, Julien; Saito, Yudai; Ma, Ziyue; Faraut, Gregory; Cai, Kai; Rudie, Karen
作者单位：Osaka Metropolitan University; Xidian University; Queens University - Canada; Queens University - Canada; Ingenuity Labs Research Institute
摘要：We study a new security problem in discrete-event systems with indefinite actuator and sensor attacks: Any controllable events disabled by the supervisor can be re-enabled, and any observable events can be concealed by attackers. We consider that the plant contains unsafe states, each of which is associated with a safety requirement specifying the number of attacks on actuators and the number of attacks on sensors that should be withstood by the supervisor to prevent the plant from entering th...
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作者：Samari, Behrad; Nejati, Amy; Lavaei, Abolfazl
作者单位：Newcastle University - UK
摘要：This article offers a data-driven divide-and-conquer strategy to analyze large-scale interconnected networks, characterized by both unknown mathematical models and interconnection topologies. Our data-driven scheme treats an unknown network as an interconnection of individual agents (a.k.a. subsystems) and aims at constructing their symbolic models, referred to as discrete-domain representations of unknown agents, by collecting data from their trajectories. The primary objective is to synthesi...
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作者：Zuo, Huang; Tao, Jie; Lin, Ming; Zhao, Yao; Liu, Yong-Hua; Lu, Renquan; Su, Chun-Yi
作者单位：Guangdong University of Technology; Guangdong University of Technology
摘要：This article investigates the control problem of uncertain nonlinear systems subject to both hard and soft output constraints. The hard safety constraint is treated as strictly inviolable, whereas the prescribed tracking performance is formulated as an adjustable soft constraint. When conflicts arise between these constraints, two direct real-time soft-boundary modification strategies are proposed to ensure strict compatibility with the hard constraint, in contrast to existing approaches that ...
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作者：Chen, Ziyue; Wang, Guangchen; Zhang, Qi
作者单位：Fudan University; Shandong University
摘要：In this article, we study the optimal exploratory control for an entropy-regularized backward stochastic control system with partial information. The stochastic maximum principle are given for the concerned nonlinear system. Then, the existence and uniqueness of optimal control for the entropy-regularized linear quadratic control problem with partial information is proved. Based on theoretical results, we design an efficient iterative algorithm for optimal control of linear-convex stochastic s...
