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作者：Wang, Bohui
作者单位：Xi'an Jiaotong University; Xidian University
摘要：This article proposes a distributed error estimation approach to investigate the quasi-synchronization problem of heterogeneous dynamical networks with static and adaptive coupling laws under a directed communication topology. By introducing a pining control strategy, a novel class of distributed error estimation algorithms is proposed for solving the quasi-synchronization problem of heterogeneous dynamical networks with a static coupling law by exploring the local information among the neighb...
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作者：Li, Wenjie; Assaad, Mohamad; Zheng, Shiqi
作者单位：Universite Paris Saclay; Huawei Technologies; Universite Paris Saclay; Centre National de la Recherche Scientifique (CNRS); China University of Geosciences
摘要：This article addresses a distributed optimization problem in a communication network where nodes are active sporadically. Each active node applies some learning method to control its action to maximize the global utility function, which is defined as the sum of the local utility functions of active nodes. We deal with stochastic optimization problem with the setting that utility functions are disturbed by some nonadditive stochastic process. We consider a more challenging situation where the l...
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作者：Nekouei, Ehsan; Sandberg, Henrik; Skoglund, Mikael; Johansson, Karl Henrik
作者单位：City University of Hong Kong; City University of Hong Kong (Dongguan); Royal Institute of Technology
摘要：This article studies the design of an optimal privacy-aware estimator of a public random variable based on noisy measurements, which contain private information. The public variable carries also nonprivate information, but its estimate will be correlated with the private information due to the estimation process. The objective is to design an optimal estimator of the public random variable such that the leakage of private information, via the estimation process, is kept below a certain level. ...
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作者：Liu, Hongzhe; Zheng, Wei Xing; Yu, Wenwu
作者单位：Western Sydney University; Southeast University - China; Southeast University - China
摘要：This article studies the convex optimization problem with general constraints, where its global objective function is composed of the sum of local objective functions. The objective is to design a distributed algorithm to cooperatively resolve the optimization problem under the condition that only the information of each node's own local cost function and its neighbors' states can be obtained. To this end, the optimality condition of the researched optimization problem is developed in terms of...
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作者：Terasaki, Shun; Sato, Kazuhiro
作者单位：University of Tokyo
摘要：We consider minimal controllability problems (MCPs) on linear structural descriptor systems. We address two problems of determining the minimum number of input nodes such that a descriptor system is structurally controllable. We show that MCP0 for structural descriptor systems can be solved in polynomial time. This is the same as the existing results on typical structural linear time-invariant (LTI) systems. However, the derivation of the result is considerably different because the derivation...
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作者：Koehler, Johannes; Mueller, Matthias A.; Allgoewer, Frank
作者单位：University of Stuttgart; Leibniz University Hannover
摘要：We present a model predictive control (MPC) framework to solve the constrained nonlinear output regulation problem. The main feature of the proposed framework is that the application does not require the solution to classical regulator (Francis-Byrnes-Isidori) equations or any other offline design procedure. In particular, the proposed formulation simply minimizes the predicted output error, possibly with some input regularization. Instead of using terminal cost/sets or a positive-definite sta...
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作者：Gao, Chen; Wang, Zidong; He, Xiao; Dong, Hongli
作者单位：Tsinghua University; Brunel University; Northeast Petroleum University; Northeast Petroleum University
摘要：In this article, the fault-tolerant consensus control problem is investigated for multiagent systems with sensor faults. A first-order difference equation is utilized to describe the sensor fault, and an observer is designed to estimate the state and the fault simultaneously. For security enhancement and/or congestion mitigation purposes, the estimated state is first encrypted into a series of finite-level codewords by an encryption algorithm and, then, transmitted to other agents through a di...
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作者：Chen, Yang-Yang; Chen, Kaiwen; Astolfi, Alessandro
作者单位：Southeast University - China; Southeast University - China; Imperial College London; University of Rome Tor Vergata
摘要：A novel adaptive method to achieve both path following and formation moving along desired orbits in the presence of a spatio-temporal flowfield is presented. The flowfield is a spatio-temporal general flow with unknown time-varying parameters. The so-called congelation of variables method is used to estimate the time-varying flow parameters, which do not have any restrictions on the rate of their variation. The asymptotic properties of the resulting adaptive system are studied in detail. Simul...
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作者：Wu, Xihui; Mu, Xiaowu
作者单位：Zhengzhou University; Zhengzhou University of Light Industry
摘要：This article restudies the tracking consensus problem of disturbed second-order multiagent systems via event-based sliding mode control (EB-SMC). A new framework of EB-SMC method is proposed with new distributed EB integral-type sliding manifolds, distributed EB-SMCs, and more efficient event-triggered detections where continuous communication among follower agents is not required. Moreover, event-triggered conditions with heterogeneous parameters are well-designed to improve the flexibility o...
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作者：Vlaski, Stefan; Vandenberghe, Lieven; Sayed, Ali H.
作者单位：Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne; University of California System; University of California Los Angeles
摘要：The purpose of this article is to develop and study a decentralized strategy for Pareto optimization of an aggregate cost consisting of regularized risks. Each risk is modeled as the expectation of some loss function with unknown probability distribution, while the regularizers are assumed deterministic, but are not required to be differentiable or even continuous. The individual, regularized, cost functions are distributed across a strongly connected network of agents, and the Pareto optimal ...
