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作者：Xiong, Yongyang; Wu, Ligang; You, Keyou; Xie, Lihua
作者单位：Tsinghua University; Harbin Institute of Technology; Nanyang Technological University
摘要：Communication efficiency is a major bottleneck in the applications of distributed networks. To address the problem, the problem of quantized distributed optimization has attracted a lot of attention. However, most of the existing quantized distributed optimization algorithms can only converge sublinearly. To achieve linear convergence, this article proposes a novel quantized distributed gradient tracking algorithm (Q-DGT) to minimize a finite sum of local objective functions over directed netw...
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作者：Zhang, Tian-Yu; Ye, Dan; Shi, Yang
作者单位：Northeastern University - China; Northeastern University - China; Northeastern University - China; University of Victoria
摘要：This article focuses on how false-data injection (FDI) attacks compromise state omniscience, which needs each node in a jointly detectable sensor network to estimate the entire plant state through distributed observers. To reveal the global vulnerability of state omniscience, we investigate decentralized FDI (DFDI) attacks that destabilize the estimation error dynamics but eliminate their influences on the residual in each sensor node. First, the sufficiency and necessity for the existence of ...
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作者：Lee, Junsoo; Haddad, Wassim M. M.; Lanchares, Manuel
作者单位：University of South Carolina System; University of South Carolina Columbia; University System of Georgia; Georgia Institute of Technology
摘要：In this article, we address finite time stability in probability of discrete-time stochastic dynamical systems. Specifically, a stochastic comparison lemma is constructed along with a scalar system involving a generalized deadzone function to establish almost sure convergence and finite time stability in probability. This result is used to provide Lyapunov theorems for finite time stability in probability for Ito-type stationary nonlinear stochastic difference equations involving Lyapunov diff...
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作者：Zhong, Jie; Pan, Qinyao; Xu, Wenying; Liu, Yang
作者单位：Zhejiang Normal University; Southeast University - China
摘要：In this article, asymptotical stabilization of probabilistic Boolean control networks with a switching signal being an independent identically distributed process has been systematically studied. Here, the binary operators connecting logical functions of state nodes and pinning controllers are constrained to certain sets. By establishing matrix representation of operators and input constraints, several criteria for asymptotical stabilization have been established. The proposed asymptotical sta...
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作者：Bekiaris-Liberis, Nikolaos
作者单位：Technical University of Crete
摘要：We illustrate the potential of partial differential equation (PDE)-based traffic flow control in cardiovascular flow analysis, monitoring, and control, presenting a PDE-based control-oriented formulation, for one-dimensional (1-D) blood flow dynamics in the presence of stenosis. This is achieved adopting an approach for modeling and analysis that relies on the potential correspondence of 1-D blood flow dynamics in the presence of stenosis, with 1-D traffic flow dynamics in the presence of bott...
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作者：Charitidou, Maria; Dimarogonas, Dimos V.
作者单位：Royal Institute of Technology
摘要：Signal temporal logic (STL) has been found to be an expressive language for describing complex, time-constrained tasks in several robotic applications. Existing methods encode such specifications by either using integer constraints or by employing set invariance techniques. While in the first case this results in a mixed integer linear program (MILP), control problems, in the latter case, designer-specific choices may induce conservatism in the robot's performance and the satisfaction of the t...
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作者：Greene, Max L. L.; Deptula, Patryk; Nivison, Scott; Dixon, Warren E. E.
作者单位：The Charles Stark Draper Laboratory, Inc.; Johns Hopkins University; State University System of Florida; University of Florida
摘要：This article provides an approximate online adaptive solution to the infinite-horizon optimal tracking problem for control-affine continuous-time nonlinear systems with uncertain drift dynamics. A model-based approximate dynamic programming (ADP) approach, which is facilitated using a concurrent learning-based system identifier, approximates the optimal value function. To reduce the computational complexity of model-based ADP, the state space is segmented into user-defined segments (i.e., regi...
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作者：Zhao, Feiran; You, Keyou; Basar, Tamer
作者单位：Tsinghua University; Tsinghua University; University of Illinois System; University of Illinois Urbana-Champaign
摘要：While the techniques in optimal control theory are often model-based, the policy optimization (PO) approach directly optimizes the performance metric of interest. Even though it has been an essential approach for reinforcement learning problems, there is little theoretical understanding of its performance. In this article, we focus on the risk-constrained linear quadratic regulator problem via the PO approach, which requires addressing a challenging nonconvex constrained optimization problem. ...
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作者：Koehler, Philipp N.; Mueller, Matthias A.; Allgoewer, Frank
作者单位：University of Stuttgart; Leibniz University Hannover
摘要：We consider dissipativity properties of interconnected systems in the context of distributed economic model predictive control (MPC), with the subsystems being interconnected through their stage cost functions. The isolated subsystems, i.e., when neglecting the coupled portion of the individual stage costs, are assumed to be dissipative with respect to a specific supply rate related to their local stage cost function, which is commonly used in an economic MPC context. Based on these local diss...
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作者：Wang, Shimin; Zhang, Hongwei; Baldi, Simone; Zhong, Renxin
作者单位：Queens University - Canada; Harbin Institute of Technology; Southeast University - China; Delft University of Technology; Sun Yat Sen University
摘要：This article studies the leaderless consensus problem of heterogeneous multiple networked Euler-Lagrange systems subject to persistent disturbances with unknown constant biases, amplitudes, initial phases, and frequencies. The main characteristic of this study is that none of the agents has information of a common reference model or of a common reference trajectory. Therefore, the agents must simultaneously and in a distributed way: achieve consensus to a common reference model (group model); ...
