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作者：Zhao, Shengchao; Song, Siyuan; Liu, Yongchao
作者单位：China University of Mining & Technology; The Chinese University of Hong Kong, Shenzhen; Dalian University of Technology
摘要：This article studies the distributed optimization problem over directed networks with noisy information-sharing. To resolve the imperfect communication issue over directed networks, a series of noise-robust variants of Push-Pull/AB method have been developed. These methods improve the robustness of Push-Pull method against the information-sharing noise through adding small factors on weight matrices and replacing the global gradient tracking with the cumulative gradient tracking. Based on the ...
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作者：Reniers, Michel; Cai, Kai
作者单位：Eindhoven University of Technology; Osaka Metropolitan University
摘要：In the Ramadge-Wonham supervisory control theory, the only interaction mechanism between supervisor and plant is that the supervisor may enable/disable events from the plant and the plant makes a final decision about which of the enabled events is actually taking place. In this article, the interaction between supervisor and plant is enriched by allowing the supervisor to force specific events (called forcible events) that are allowed to preempt uncontrollable events. A notion of forcible cont...
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作者：Huang, Kun; Pu, Shi
作者单位：The Chinese University of Hong Kong, Shenzhen
摘要：In this article, we consider solving the distributed optimization problem over a multiagent network under the communication restricted setting. We study a compressed decentralized stochastic gradient method, termed compressed exact diffusion with adaptive stepsizes (CEDAS), and show that the method asymptotically achieves comparable convergence rate as centralized stochastic gradient descent (SGD) for both smooth strongly convex objective functions and smooth nonconvex objective functions unde...
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作者：Martin, Andrea; Furieri, Luca; Dorfler, Florian; Lygeros, John; Ferrari-Trecate, Giancarlo
作者单位：Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne; Swiss Federal Institutes of Technology Domain; ETH Zurich
摘要：Toward bridging classical optimal control and online learning, regret minimization has recently been proposed as a control design criterion. This competitive paradigm penalizes the loss relative to the optimal control actions chosen by a clairvoyant policy, and allows tracking the optimal performance in hindsight no matter how disturbances are generated. In this article, we propose the first receding horizon scheme based on the repeated computation of finite horizon regret-optimal policies, an...
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作者：Ning, Zepeng; Colaneri, Patrizio; Yin, Xunyuan
作者单位：Nanyang Technological University; Polytechnic University of Milan; Nanyang Technological University
摘要：This article establishes a systematic methodology to improve the utilization efficiency of probabilistic information for the stability analysis and stabilizing control of discrete-time semi-Markov jump linear systems (SMJLSs). The transition and sojourn information is incompletely known, and the coupling between the known (or unknown) transition and unknown (or known) sojourn information renders the known probabilistic information difficult to be fully leveraged, which can lead to conservative...
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作者：Su, Housheng; Yu, Yan; Zheng, Wei Xing
作者单位：Huazhong University of Science & Technology; Western Sydney University
摘要：This article proposes a modified Cucker-Smale model in view of a double-integrator multiagent dynamic system on complete Riemannian manifolds with an attractive-repulsive force. Then, its flocking behaviors, such as collision avoidance, velocity alignment, and aggregation, are researched. On the basis of covariant derivative and parallel transport, the original Cucker-Smale model on complete Riemannian manifolds can reach velocity alignment. By using the logarithm map on Riemannian manifolds, ...
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作者：Wang, Xiaoling; Xu, Weichen; Su, Housheng; Gao, Zhiwei; Chen, Guanrong
作者单位：Nanjing University of Posts & Telecommunications; Nanjing University of Posts & Telecommunications; Huazhong University of Science & Technology; Northumbria University; City University of Hong Kong
摘要：In this article, the distributed interval observer design problem for a continuous-time linear time-invariant system with unknown external disturbance and measurement noise is revisited. By performing detectability decomposition for partial outputs of each sensor from the system matrix, a classical interval observer and an internally positive representation-based interval observer are designed for the detectable and the undetectable subsystems, respectively, which reduces the order of the resu...
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作者：Kawano, Yu; Moreschini, Alessio; Cucuzzella, Michele
作者单位：Hiroshima University; Imperial College London; University of Groningen
摘要：In this article, we establish the novel concept of Krasovskii passivity for sampled discrete-time nonlinear systems, utilizing Krasovskii passivity for control design under sampling. We consider two separate control objectives: stabilization and output consensus, where the latter is studied under the presence of an unknown constant disturbance. Drawing inspiration from established methodologies in the continuous-time domain, we design sampled-data control schemes for each control objective, le...
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作者：Hadjicostis, Christoforos N.; Dominguez-Garcia, Alejandro D.
作者单位：University of Cyprus; University of Illinois System; University of Illinois Urbana-Champaign
摘要：This article proposes a distributed algorithm for average consensus in a multiagent system under a fixed bidirectional communication topology, in the presence of untrustworthy (malicious) agents (nodes) that may try to influence the average consensus outcome by manipulating their updates. The proposed algorithm converges asymptotically to the average of the initial values of the trustworthy (nonmalicious) nodes, which we refer to as the trustworthy average, as long as the underlying topology t...
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作者：Kurula, Mikael; Humaloja, Jukka-Pekka; Dubljevic, Stevan
作者单位：Abo Akademi University; Technical University of Crete; University of Alberta
摘要：In this article, we extend discrete-time explicit model-predictive control (MPC) rigorously to linear distributed parameter systems. After formulating an MPC framework and giving a relevant Karush-Kuhn-Tucker theorem, we realize fast regionless explicit MPC by using the dual-active-set method QPKWIK. A Timoshenko beam with input and state constraints is used to demonstrate the efficacy of the design at controlling a continuous-time hyperbolic partial differential equation with constraints, usi...
