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作者：Kazma, Mohamad H.; Taha, Ahmad F.
作者单位：Vanderbilt University
摘要：Network partitioning has gained recent attention as a pathway to enable decentralized operation and control in large-scale systems. This article addresses the interplay between partitioning, observability, and sensor placement (SP) in dynamic networks. The problem, being computationally intractable at scale, is a largely unexplored, open problem in the literature. To that end, this article's objective is designing scalable partitioning of linear systems while maximizing observability metrics o...
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作者：Wu, Wuwei; Chen, Jie; Jovanovic, Mihailo R.; Georgiou, Tryphon T.
作者单位：City University of Hong Kong; University of Southern California; University of California System; University of California Irvine
摘要：This article highlights an apparent, yet relatively unknown link between algorithm design in optimization theory and controller synthesis in robust control. Specifically, quadratic optimization can be recast as a regulation problem within the framework of H-infinity control. From this vantage point, the optimality of Polyak's fastest heavy-ball algorithm can be ascertained as a solution to a gain-margin optimization problem. The approach is independent of Polyak's original and brilliant argume...
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作者：Duan, Xiaoming; Wang, Weizhen; Yan, Rui
作者单位：Shanghai Jiao Tong University; Shanghai Jiao Tong University; Beihang University
摘要：We study trajectory-entropy maximization for Markov chains (MCs) under a Kemeny-constant constraint, given a fixed graph topology and stationary distribution, where the trajectory entropy is the weighted average of the entropy of trajectories between every pair of states, with the weights equal to the product of the stationary probabilities of the initial and final states. This problem is motivated by the application of MCs in the stochastic robotic surveillance, where unpredictability is a de...
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作者：Martinelli, Agostino
摘要：This article investigates nonlinear systems driven solely by unknown inputs. A straightforward definition of observability is introduced for such systems, and based on this, this article derives the algebraic criterion that characterizes state observability. The criterion is easy to apply and well-suited for complex scenarios, as demonstrated by its ability to consistently yield new insights across various domains. Specifically, this article applies this criterion to revisit the structure-from...
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作者：Modares, Amir; Ghiasi, Niyousha; Kiumarsi, Bahare; Modares, Hamidreza
作者单位：University of Cyprus; Michigan State University
摘要：This article develops learning-enabled safe controllers for linear systems subject to system uncertainties and bounded disturbances. Given the disturbance zonotope, the data-based closed-loop dynamics (CLDs) are first characterized using a matrix zonotope (MZ), and refined through several steps to yield a constrained matrix zonotope (CMZ). This refinement is achieved by introducing conformal equality constraints that eliminate incompatible disturbance realizations. More precisely, prior knowle...
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作者：Chen, Yuhan; Ding, Kemi; Liu, Tao
作者单位：Southern University of Science & Technology
摘要：The cooperative parallel operation problem was recently introduced to achieve output regulation of a linear plant with cooperation of multiple actuators. In addition to fulfilling the requirements of classical output regulation, this problem further requires an even distribution of the plant input among the actuators. However, the existing solution assumes a static and connected communication network for the actuators. This article further addresses the cooperative parallel operation problem o...
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作者：Diaz-Garcia, Gilberto; Bullo, Francesco; Marden, Jason R.
作者单位：University of California System; University of California Santa Barbara
摘要：In competitive resource allocation formulations, multiple agents compete over different contests by committing their limited resources to them. For these settings, contest games offer a game-theoretic foundation to analyze how players can efficiently invest their resources. In this class of games, the resulting behavior can be affected by external interactions among the players. In particular, players may be able to make coalitions that allow transferring resources among them, seeking to impro...
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作者：Yang, Zhaohua; Yang, Nachuan; Wang, Pengyu; Zhang, Haishan; Xu, Xiayan; Shi, Ling
作者单位：Hong Kong University of Science & Technology; University of Alberta
摘要：This article focuses on the optimal H-2 controller design for compartmental systems, with the aim of enhancing system robustness while maintaining the law of mass conservation. Through a novel problem transformation, we establish that the original problem is equivalent to a new nonconvex optimization problem with a closed polyhedral constraint. Existing works have developed various first-order methods to tackle inequality constraints. However, they often lack convergence guarantees in nonconve...
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作者：Yuan, Liwei; Ishii, Hideaki
作者单位：Hunan University; University of Tokyo
摘要：We study resilient quantized consensus in multiagent systems, where some agents may malfunction. The network consists of agents taking integer-valued states, and the agents' communication is subject to asynchronous updates and time delays. We utilize the quantized weighted mean-subsequence-reduced algorithm where agents communicate with others through multihop relays. We prove necessary and sufficient conditions for our algorithm to achieve the objective under the malicious and Byzantine attac...
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作者：Harapanahalli, Akash; Coogan, Samuel
作者单位：University System of Georgia; Georgia Institute of Technology
摘要：Infinitesimal contraction analysis provides exponential convergence rates between arbitrary pairs of trajectories of a system by studying the system's linearization. An essentially equivalent viewpoint arises through stability analysis of a linear differential inclusion (LDI) encompassing the incremental behavior of the system. In this note, we use contraction tools to study the exponential stability of a system to a particular known trajectory, deriving a new LDI characterizing the error betw...
