IEEE Transactions on Automatic Control

最新文章

• Adaptive Observer for a Class of Systems With Switched Unknown Parameters Using DREM AI翻译
  作者：Liu, Tong; Zhang, Zengjie; Liu, Fangzhou; Buss, Martin
  作者单位：Technical University of Munich; Harbin Institute of Technology; Eindhoven University of Technology
  摘要：In this note, we develop an adaptive observer for a class of nonlinear systems with switched unknown parameters to estimate the states and parameters simultaneously. The main challenge lies in how to eliminate the disturbance effect of zero-input responses caused by the switching on the parameter estimation. These responses depend on the unknown states at switching instants (SASI) and constitute an additive disturbance to the parameter estimation, which obstructs parameter convergence to zero....
• From Partial and Horizontal Contraction to k-Contraction AI翻译
  作者：Wu, Chengshuai; Dimarogonas, Dimos V.
  摘要：A geometric generalization of contraction theory called k-contraction was recently developed using k-compound matrices. In this article, we focus on the relations between k-contraction and two other generalized contraction frameworks: partial contraction (also known as virtual contraction) and horizontal contraction. We show that in general these three notions of contraction are different. We here provide new sufficient conditions guaranteeing that partial contraction implies horizontal contra...
• On Connections Between Invariant Subspace and Quotient Approaches for Analysis and Control of Boolean Networks AI翻译
  作者：Li, Rui; Zhao, Nan; Zhang, Qi; Chu, Tianguang
  作者单位：Dalian University of Technology; University of International Business & Economics; Peking University
  摘要：In this article, we prove new connections between two frameworks for analysis and control of Boolean networks: the invariant subspace framework and the quotient framework. Each method, in different ways, produces a smaller model but preserves enough information about the original network. We make precise the connection between models reduced by the two methods. The results show equivalence between invariant subspace and quotient approaches for wide classes of analysis and control problems.
• Generalization of Filtering Sensitivity Tradeoffs in Continuous- and Discrete-Time Systems: A Simplified Approach AI翻译
  作者：Wan, Neng; Li, Dapeng; Song, Lin; Hovakimyan, Naira
  作者单位：University of Illinois System; University of Illinois Urbana-Champaign; University of Illinois System; University of Illinois Urbana-Champaign; Southern University of Science & Technology
  摘要：A simplified analysis is performed on the Bode-type filtering sensitivity tradeoff integrals, which capture the sensitivity characteristics of the estimate and estimation error with respect to the process input or estimated signal in continuous- and discrete-time linear time-invariant filtering systems. Compared with the previous analyses based on complex analysis and Cauchy's residue theorem, the analysis results derived from the simplified method are more explicit, thorough, and require less...
• Optimal Transmission Scheduling Over Multihop Networks: Structural Results and Reinforcement Learning AI翻译
  作者：Yang, Lixin; Xu, Yong; Lv, Weijun; Li, Jun-Yi; Shi, Ling
  作者单位：Guangdong University of Technology; Hong Kong University of Science & Technology
  摘要：This article studies the optimal transmission scheduling for remote state estimation over multihop networks. A smart sensor observes a dynamic system, and sends its local state estimate to a remote estimator (RE). To save energy, multihop networks are deployed to relay data packets from the smart sensor to the RE. The smart sensor needs to decide the hop number communicating with the RE by adjusting its transmission power. To minimize the estimation error and the energy consumption, the transm...
• On Supervised Online Rolling-Horizon Control for Infinite-Horizon Discounted Markov Decision Processes AI翻译
  作者：Chang, Hyeong Soo
  作者单位：Sogang University
  摘要：This note revisits the rolling-horizon control approach to the problem of Markov decision process (MDP) with infinite-horizon discounted expected reward criterion. Distinguished from the classical value-iteration approaches, we develop an asynchronous online algorithm based on policy iteration integrated with a multipolicy improvement method of policy switching. A sequence of monotonically improving solutions to the forecast-horizon sub-MDP is generated by updating the current solution only at...
• A Stochastic Hybrid Framework for Event-Triggered Nonlinear Control Systems With Stochastic Denial of Service Attacks AI翻译
  作者：Liu, Kun-Zhi; Teel, Andrew R.; Sun, Xi-Ming
  作者单位：Dalian University of Technology; University of California System; University of California Santa Barbara
  摘要：In this article, the stability problem for event-triggered nonlinear control systems is addressed in the presence of stochastic denial of service attacks on the communication network. Dynamic event-triggered control and periodic event-triggered control are considered under the stochastic attacks. The stochastic attacks are modeled by a stochastic hybrid timer and a logic variable which is used to identify whether the network is attacked or not. Then, the entire closed-loop system can be modele...
• A Generic Algorithm Framework for Distributed Optimization Over the Time-Varying Network With Communication Delays AI翻译
  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...
• A Discrete-Time Reputation-Based Resilient Consensus Algorithm for Synchronous or Asynchronous Communications AI翻译
  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...
• Distributed Online Resource Allocation in Open Networks AI翻译
  作者：Liu, Yuxuan; Ye, Maojiao; Ding, Lei; Xie, Lihua; Xu, Shengyuan
  作者单位：Nanjing University of Science & Technology; Nanjing University of Posts & Telecommunications; Nanjing University of Posts & Telecommunications; Nanjing University of Posts & Telecommunications; Nanyang Technological University
  摘要：This article considers the problem of online resource allocation in an open network where the engaged agents are allowed to join and leave freely. To deal with network openness, each agent possesses two auxiliary variables, utilized to store the sum of gradients and record the number of stored gradients, respectively. Based on the stored information and primal-dual techniques, a distributed online optimization algorithm is constructed for agents to achieve the minimization of their total cost ...