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作者：Liang, Lidan; Cui, Shaoxuan; Liu, Fangzhou
作者单位：Harbin Institute of Technology; University of Groningen
摘要：Recent research on epidemic processes has revealed the limitations of traditional networks, which capture only pairwise relationships, to characterize complex multiparty relationships and group influences properly. Epidemic processes on higher order networks (simplicial complexes and general hypergraphs) have therefore emerged as a novel frontier. In this work, we investigate discrete-time susceptible-infected-susceptible (SIS) contagion processes occurring on weighted and directed hypergraphs...
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作者：Disaro, Giorgia; Fattore, Giulio; Valcher, Maria Elena
作者单位：University of Padua
摘要：This article addresses the distributed state estimation problem for a discrete-time linear and time-invariant (LTI) state-space model, whose state equation is affected by disturbances. A connected sensor network, in which each sensor has access only to part of the control inputs and provides its own output signal (that represents a partial indirect measurement of the state), is deployed to reconstruct the state of a system. Such sensors exchange information with the goal of achieving consensus...
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作者：Li, Yuchao; Karapetyan, Aren; Schmid, Niklas; Lygeros, John; Johansson, Karl H.; Martensson, Jonas
作者单位：Royal Institute of Technology; Arizona State University; Arizona State University-Tempe; Swiss Federal Institutes of Technology Domain; ETH Zurich
摘要：In this note, we consider infinite horizon optimal control problems with deterministic systems. Since exact solutions to these problems are often intractable, we propose a parallel model predictive control (MPC) method that provides an approximate solution. Our method computes multiple lookahead minimization problems at each time, where each minimization may involve a different number of lookahead steps, and terminal cost and constraint. The policy computed via parallel MPC applies the first c...
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作者：Ohtsuka, Tomofumi; Cai, Kai; Kashima, Kenji
作者单位：Kyoto University; Osaka Metropolitan University
摘要：In this article, we develop a data-driven approach for supervisory control of discrete-event systems (DES). We consider a setup in which models of DES to be controlled are unknown, but a set of data concerning the behaviors of DES is available. We propose a new concept of data-informativity, which captures the notion that the available dataset contains sufficient information such that a valid supervisor may be constructed for a family of DES models that all can generate the dataset. We then ch...
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作者：Aravind, Ashwin; Chatterjee, Debasish; Cherukuri, Ashish
作者单位：Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Bombay; University of Groningen
摘要：This article presents a first-order distributed algorithm for solving a convex semi-infinite program (SIP) over a time-varying network. In this setting, the objective function associated with the optimization problem is a summation of a set of functions, each held by one node in a network. The semi-infinite constraint, on the other hand, is known to all agents. The nodes collectively aim to solve the problem using local data about the objective and limited communication capabilities depending ...
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作者：Franssen, Christian P. C.; Zocca, Alessandro; Heidergott, Bernd F.
作者单位：Vrije Universiteit Amsterdam; Vrije Universiteit Amsterdam
摘要：Graphs are commonly used to model various complex systems, including social networks, power grids, transportation networks, and biological systems. In many applications, the connectivity of these networks can be expressed through the mean first passage times (MFPTs) of a Markov chain modeling a random walker on the graph. In this article, we generalize the network metrics based on Markov chains' MFPTs and extend them to networks affected by uncertainty, in which edges may fail and hence not be...
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作者：Kurkcu, Burak; Tomizuka, Masayoshi
作者单位：Santa Clara University; University of California System; University of California Berkeley
摘要：In this article, we establish necessary and sufficient conditions for stable inversion, addressing challenges in nonminimum phase, nonsquare, and singular systems. An H-infinity-based algebraic approximation is introduced for near-perfect tracking without preview. In addition, we propose a novel robust control strategy combining the nominal model with dual feedforward control to form a feedback structure. Numerical comparison demonstrates the approach's effectiveness.
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作者：Wu, Jiacheng; Wang, Jing; Ma, Qian; Shen, Hao
作者单位：Zhejiang University; Anhui University of Technology; Nanjing University of Science & Technology
摘要：Data-storage-based reinforcement learning (RL) algorithms for dynamic games typically impose a persistent excitation (PE) condition to guarantee convergence. However, this requirement can be overly restrictive in practical implementations. To address this limitation, this article proposes a novel online RL algorithm for approximating the Nash equilibrium solutions in discrete-time multiplayer nonzero-sum games under a relaxed initial excitation condition, thereby avoiding the need for the PE a...
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作者：Xu, Yiqiao; Gong, Tengyang; Ding, Zhengtao; Parisio, Alessandra
作者单位：University of Manchester
摘要：This article studies distributed time-varying resource allocation (TVRA) where the local cost functions, global equality constraints, and local feasibility constraints (LFCs) vary with time. Algorithms that mimic the structure of feedback-feedforward control systems are proposed. Feedback and feedforward laws are generated using local estimates from a distributed estimator, while a distributed controller enforces the stationarity condition within a fixed time and updates the candidate solution...
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作者：Chen, Yuzhe; Chen, Ci; Lewis, Frank L.; Xie, Shengli
作者单位：Guangdong University of Technology; Guangdong University of Technology
摘要：In this article, we introduce a method called multiplayer cascaded policy iteration (MCPI) for finding Nash equilibrium solutions to nonzero-sum (NZS) differential games. While policy iteration (PI) methods have existed for NZS game problems, they usually return solutions lacking stability guarantees during the iterative process due to using a parallel structure in solution-seeking. To tackle such a stability issue, we now propose MCPI with an essentially different structure in series, which i...
