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作者：Wang, Jianzheng; Hu, Guoqiang
作者单位：Nanyang Technological University
摘要：In this article, we consider a composite optimization problem with linear coupling constraints in a multiagent network. In this problem, the agents cooperatively optimize a strongly convex cost function, which is the linear sum of individual cost functions composed of smooth and possibly nonsmooth components. To solve this problem, we propose an asynchronous penalized proximal gradient (Asyn-PPG) algorithm, a variant of classical proximal gradient method, with the presence of the asynchronous ...
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作者：Zhong, Bingzhuo; Zamani, Majid; Caccamo, Marco
作者单位：Technical University of Munich; University of Colorado System; University of Colorado Boulder
摘要：In this article, we present how to synthesize controllers to enforce omega-regular properties over linear control systems affected by bounded disturbances. In particular, these controllers are synthesized based on so-called hybrid controlled invariant (HCI) sets. To compute these sets, we first construct a product system between the linear control system and the deterministic Streett automata (DSA) modeling the desired property. Then, we propose a set-based approach, which exploits a new itera...
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作者：Zhou, Shijie; Lin, Wei; Mao, Xuerong; Wu, Jianhong
作者单位：York University - Canada; Fudan University; Fudan University; Fudan University; Fudan University; Fudan University; Fudan University; University of Strathclyde
摘要：Investigating long-term behaviors of stochastic dynamical systems often requires to establish criteria that are able to describe delicate dynamics of the considered systems. In this article, we develop generalized invariance principles for continuous-time stochastic dynamical systems. Particularly, in a sense of probability one and by the developed semimartingale convergence theorem, we not only establish a local invariance principle, but also provide a generalized global invariance principle ...
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作者：Cui, Leilei; Pang, Bo; Jiang, Zhong-Ping
作者单位：New York University; New York University Tandon School of Engineering
摘要：This article studies the adaptive optimal control problem for a class of linear time-delay systems described by delay differential equations. A crucial strategy is to take advantage of recent developments in reinforcement learning and adaptive dynamic programming and develop novel methods to learn adaptive optimal controllers from finite samples of input and state data. In this article, the data-driven policy iteration (PI) is proposed to solve the infinite-dimensional algebraic Riccati equati...
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作者：Duan, Xiaoming; Xu, Zhe; Yan, Rui; Topcu, Ufuk
作者单位：Shanghai Jiao Tong University; Arizona State University; Arizona State University-Tempe; University of Oxford; University of Texas System; University of Texas Austin
摘要：In this article, we study privacy-utility tradeoffs where users share privacy-correlated useful information with a service provider to obtain some utility. The service provider is adversarial in the sense that it can infer the users' private information based on the shared useful information. To minimize the privacy leakage while maintaining a desired level of utility, the users carefully perturb the useful information via a probabilistic privacy mapping before sharing it. We focus on the sett...
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作者：Liu, Jie; Ho, Daniel W. C.; Li, Lulu
作者单位：City University of Hong Kong; Hefei University of Technology
摘要：In this article, we study the distributed optimization problem (DOP) over the time-varying communication network topology with communication delays. The existing distributed optimization algorithms (DOAs) cannot be directly applied to DOPs over the time-varying network with communication delays. In this article, by adding new virtual agents and redefining communication links, some delay properties are realized and existing DOAs can then be reused to solve the DOPs. Thus, a generic algorithm fr...
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作者：Ramos, Guilherme; Silvestre, Daniel; Silvestre, Carlos
作者单位：Universidade de Lisboa; Instituto de Telecomunicacoes; Universidade Nova de Lisboa; Universidade de Lisboa; Universidade de Coimbra; Universidade de Lisboa; University of Macau; Universidade de Lisboa
摘要：We tackle the problem of a set of agents achieving resilient consensus in the presence of attacked agents. We present a discrete-time reputation-based consensus algorithm for synchronous and asynchronous networks by developing a local strategy where, at each time, each agent assigns a reputation (between zero and one) to each neighbor. The reputation is then used to weigh the neighbors' values in the update of its state. Under mild assumptions, we show that: 1) the proposed method converges ex...
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作者：Ligeikis, Connor H.; Scruggs, Jeffrey T.
作者单位：University of Michigan System; University of Michigan
摘要：A control system is called self-powered if the only energy it requires for operation is that which it absorbs from the plant. For a linear feedback law to be feasible for a self-powered control system, its feedback signal must be colocated with the control inputs, and its input-output mapping must satisfy an associated passivity constraint. The imposition of such a feedback law can be viewed equivalently as the imposition of a linear passive shunt admittance at the actuation ports of the plant...
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作者：Song, Teng; Liu, Bin
作者单位：Wuhan University of Technology; Huazhong University of Science & Technology
摘要：This article deals with the discrete-time stochastic optimal control problems with recursive utilities under weakened convexity assumption. A new stochastic maximum principle is established. Moreover, by constructing two new adjoint equations and two new variational equations for the backward stochastic difference equation, we obtain the second-order necessary optimality condition of quasi-singular control. Finally, as an illustration, a discrete-time mean-variance portfolio selection mixed wi...
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作者：Zhao, Cheng; Zhang, Yanbin
作者单位：Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS
摘要：In this article, we focus on the global stabilizability problem for a class of uncertain stochastic control systems, where both the drift term and the diffusion term are nonlinear functions of the state variables and the control variables. We will show that the widely applied proportional-derivative (PD) control in engineering practice has the ability to globally stabilize such systems in the mean square sense, provided that the upper bounds of partial derivatives of the nonlinear functions sa...
