IEEE Transactions on Automatic Control

最新文章

• Supervisory Control of Petri Nets in the Presence of Replacement Attacks AI翻译
  作者：You, Dan; Wang, Shouguang; Zhou, Mengchu; Seatzu, Carla
  作者单位：University of Cagliari; Zhejiang Gongshang University; New Jersey Institute of Technology
  摘要：This article addresses the robust control problem of discrete event systems assuming that replacement attacks may occur, thus making it appear that an event that has occurred looks like another event. In particular, we assume that this is done by tampering with the sensor-readings in the sensor communication channel. Specifically, we use Petri nets as the reference formalism to model the plant and assume a control specification in terms of a generalized mutual exclusion constraint. We propose ...
• Design of Distributed Event-Triggered Average Tracking Algorithms for Homogeneous and Heterogeneous Multiagent Systems AI翻译
  作者：Zhao, Yu; Xian, Chengxin; Wen, Guanghui; Huang, Panfeng; Ren, Wei
  作者单位：Northwestern Polytechnical University; Southeast University - China; University of California System; University of California Riverside
  摘要：This article addresses the design problem of distributed event-triggered average tracking (DETAT) algorithms for homogeneous and heterogeneous multiagent systems. The objective of the DETAT problem is to develop a group of distributed cooperative control algorithms with event-triggered strategies for agents to track the average of multiple time-varying reference signals. First, for homogeneous linear multiagent systems, based on sampling measurements and model-relied holding techniques, a clas...
• A Linear Differentiator Based on the Extended Dynamics Approach AI翻译
  作者：Feng, Hongyinping; Qian, Yuhua
  作者单位：Shanxi University; Shanxi University
  摘要：In this article, we propose a new linear differentiator, called extended dynamics differentiator (EDD), by the extended dynamics approach. By a proper choice of extended dynamics, the EDD can make use of the prior signal dynamics as much as possible. As a result, the accuracy of the EDD can be improved greatly provided we have known some signal dynamics before signal differentiation. When all the signal dynamics are known, the EDD will reach zero derivative tracking error. When only some bound...
• Linear Reduced-Order Model Predictive Control AI翻译
  作者：Lorenzetti, Joseph; McClellan, Andrew; Farhat, Charbel; Pavone, Marco
  作者单位：Stanford University
  摘要：Model predictive controllers use dynamics models to solve constrained optimal control problems. However, computational requirements for real-time control have limited their use to systems with low-dimensional models. Nevertheless, high-dimensional models arise in many settings, for example, discretization methods for generating finite-dimensional approximations to partial differential equations can result in models with thousands to millions of dimensions. In such cases, reduced-order models (...
• Consensusability Margin Optimization for Second-Order Multiagent Systems With Communication Uncertainties AI翻译
  作者：Rong, Lina
  作者单位：Nanjing University of Posts & Telecommunications
  摘要：In this article, the H(infinity)optimization approach is used to study the consensusability margin optimization problems for distributed second-order sampled-data multiagent systems with communication uncertainties. The considered uncertainties are frequency-dependent and bounded in H(infinity )norms. Specifically, for both the state-based protocols with relative damping and absolute damping, this article attempts to answer two questions: 1) how to characterize the control parameters for achie...
• Signed Social Networks With Biased Assimilation AI翻译
  作者：Wang, Lingfei; Hong, Yiguang; Shi, Guodong; Altafini, Claudio
  作者单位：Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Tongji University; University of Sydney; Linkoping University
  摘要：A biased assimilation model of opinion dynamics is a nonlinear model, in which opinions exchanged in a social network are multiplied by a state-dependent term having the bias as exponent and expressing the bias of the agents toward their own opinions. The aim of this article is to extend the bias assimilation model to signed social networks. We show that while for structurally balanced networks, polarization to an extreme value of the opinion domain (the unit hypercube) always occurs regardles...
• Exponential Time-Stepping Method for Linear Complementarity Systems AI翻译
  作者：Wang, Zhengyu
  作者单位：Nanjing University
  摘要：Linear complementarity system (LCS) consists of an ordinary differential equation (ODE) and a linear complementarity problem (LCP). In this article, we propose an exponential time-stepping method for solving LCS, which uses exponential integrator to discretize the ODE and solves the LCPs at the discrete time points. Numerical results are reported for illustrating its good performance.
• New Method for Disturbance Decoupling of Boolean Networks AI翻译
  作者：Feng, Jun-E; Li, Yiliang; Fu, Shihua; Lyu, Hongli
  作者单位：Shandong University; Liaocheng University; Liaocheng University; Lakehead University
  摘要：The coordinate transformation technique is a traditional method for solving the disturbance decoupling problem (DDP) of Boolean control networks (BCNs). But under this technique, the obtained conditions are not necessary for the solvability of DDP of original systems. Thus, this article investigates the DDP of Boolean networks (BNs) and BCNs in a new perspective. Based on the new definition of disturbance decoupling, the one-step evolutionary dynamic of states of BNs, shown as a table, is pres...
• Stochastic Linear Quadratic Optimal Control Problem: A Reinforcement Learning Method AI翻译
  作者：Li, Na; Li, Xun; Peng, Jing; Xu, Zuo Quan
  作者单位：Shandong University of Finance & Economics; Hong Kong Polytechnic University
  摘要：This article adopts a reinforcement learning (RL) method to solve infinite horizon continuous-time stochastic linear quadratic problems, where the drift and diffusion terms in the dynamics may depend on both the state and control. Based on the Bellman's dynamic programming principle, we presented an online RL algorithm to attain optimal control with partial system information. This algorithm computes the optimal control, rather than estimates the system coefficients, and solves the related Ric...
• Inference With Aggregate Data in Probabilistic Graphical Models: An Optimal Transport Approach AI翻译
  作者：Singh, Rahul; Haasler, Isabel; Zhang, Qinsheng; Karlsson, Johan; Chen, Yongxin
  作者单位：University System of Georgia; Georgia Institute of Technology; Royal Institute of Technology
  摘要：We consider inference (filtering) problems over probabilistic graphical models with aggregate data generated by a large population of individuals. We propose a new efficient belief propagation type algorithm over tree graphs with polynomial computational complexity as well as a global convergence guarantee. This is in contrast to previous methods that either exhibit prohibitive complexity as the population grows or do not guarantee convergence. Our method is based on optimal transport, or more...