IEEE Transactions on Automatic Control

最新文章

• Co-Design of Data-Driven Attack Observer and Resilient Controller for Unknown NCSs Under Hybrid Attacks AI翻译
  作者：Hu, Songlin; Liang, Jiaxin; Chen, Xiaoli; Zhang, Jin; Xie, Xiangpeng
  作者单位：Nanjing University of Posts & Telecommunications; Nanjing University of Posts & Telecommunications; Nanjing University of Posts & Telecommunications; Nanjing University of Finance & Economics; Shanghai University; Nanjing University of Posts & Telecommunications
  摘要：This article proposes a data-driven estimation and control co-design method for a class of unknown linear network control systems (NCSs) under denial-of-service (DoS) and false data injection (FDI) attacks simultaneously. First, a new piecewise observer is designed to provide the real-time estimates of the unavailable system state and the unknown FDI attack signal in the presence of DoS attacks. Under the assumption that the system matrices of the considered NCSs are known in advance, model-ba...
• Chance-Constrained Dynamic Encoding-Based Control Over Noisy Communication Channels: An Active Bit-Flip-Error-Resistant Approach AI翻译
  作者：Zhu, Kaiqun; Wang, Zidong; Ding, Derui; Li, Zhenning; Xu, Cheng-Zhong
  作者单位：University of Macau; Brunel University; University of Shanghai for Science & Technology; University of Macau
  摘要：This article investigates the chance-constrained control problem for uncertain systems, with a focus on the distortion of signal transmission between the controller and the actuator caused by noisy and bandwidth-limited communication channels, and its impact on the system's control performance. Initially, a binary dynamic encoding mechanism (DEM) is employed to encode the system's amplitude-continuous signal into a finite-length binary string, aiming to mitigate the communication burden. In th...
• Prescribed Performance Control of Nonlinear Multiagent Systems Under Switching Topologies: An Indirect and Singularity-Free Approach AI翻译
  作者：Ni, Jinyu; Huang, Xiucai; Song, Yongduan
  作者单位：Chongqing University
  摘要：This article addresses the distributed leader-follower consensus prescribed performance control (PPC) problem for uncertain nonlinear strict-feedback multiagent systems (MASs) under a switching communication topology. To avoid the potential singularity issues arising from topology switching in PPC, an innovative indirect prescribed performance design framework suitable for both directed and undirected topologies is proposed. This framework encompasses three pivotal steps. First, the relationsh...
• A Linear Parameter-Varying Approach to Data Predictive Control AI翻译
  作者：Verhoek, Chris; Berberich, Julian; Haesaert, Sofie; Toth, Roland; Abbas, Hossam S.
  作者单位：Eindhoven University of Technology; University of Stuttgart; University of Lubeck; HUN-REN; HUN-REN Institute for Computer Science & Control
  摘要：By means of the linear parameter-varying (LPV) Fundamental Lemma, we derive novel data-driven predictive control (DPC) methods for LPV systems. In particular, we present output-feedback and state-feedback-based LPV-DPC methods with terminal ingredients, which guarantee exponential stability and recursive feasibility. We provide methods for the data-based computation of these terminal ingredients. Furthermore, an in-depth analysis of the application and implementation aspects of the LPV-DPC sch...
• FlipDyn With Control: Resource Takeover Games With Dynamics AI翻译
  作者：Banik, Sandeep; Bopardikar, Shaunak D.
  作者单位：University of Illinois System; University of Illinois Urbana-Champaign; Michigan State University
  摘要：We introduce FlipDyn with control, a finite-horizon zero-sum resource takeover game, where a defender and an adversary decide when to takeover and how to control a common resource. At each discrete-time step, the players can take over or retain control, incurring state and control-dependent costs. The system is modeled as a hybrid dynamical system, with a discrete FlipDyn state determining control authority. Our contributions are: first, for arbitrary nonnegative costs, we derive the saddle-po...
• Distributed Optimal Output Consensus Control of Heterogeneous Multiagent Systems With Safety Constraints AI翻译
  作者：Ma, Ji; Liang, Shu; Hong, Yiguang
  作者单位：Xiamen University; Tongji University
  摘要：This article investigates the distributed optimal output consensus control for heterogeneous multiagent systems under the constraint that agents' outputs must remain within a prescribed safe set. A distributed two-layer optimal safe consensus protocol is proposed using the extended projection method, which simultaneously ensures safety requirements and optimal output consensus. Specifically, we construct a distributed projection optimization algorithm with an expanding constraint set in the de...
• A Robust Consensus plus Innovations-Based Distributed Parameter Estimator AI翻译
  作者：Lorenz-Meyer, Nicolai; Rueda-Escobedo, Juan G.; Moreno, Jaime A.; Schiffer, Johannes
  作者单位：Brandenburg University of Technology Cottbus; Universidad Nacional Autonoma de Mexico; Universidad Nacional Autonoma de Mexico
  摘要：While distributed parameter estimation has been extensively studied in the literature, little has been achieved in terms of robust analysis and tuning methods in the presence of disturbances. However, disturbances, such as measurement noise and model mismatches occur in any real-world setting. Therefore, providing tuning methods with specific robustness guarantees would greatly benefit the practical application. To address these issues, we recast the error dynamics of a continuous-time version...
• Distributed Continuous-Discrete State Observer With Discrete Output Measurements and Communication AI翻译
  作者：Cheng, Yi; Zhang, Baoyong; Xu, Shengyuan
  作者单位：Nanjing University of Science & Technology
  摘要：This article addresses a distributed state estimation problem for a continuous-time linear time-invariant system over the sensor and communication networks utilizing the discrete local output measurements and the intermittent communication. A distributed continuous-discrete state observer is developed to continuously generate the estimates. At each sampling moment, the estimate is updated based on the state update rule by using the periodic samples of the local output measurement and the neigh...
• Distributed Stochastic Frank-Wolfe for Constrained Composite Minimization AI翻译
  作者：Hou, Jie; Zeng, Xianlin; Cui, Shisheng; Wang, Gang; Sun, Jian
  作者单位：Beijing Institute of Technology; Beijing Institute of Technology
  摘要：This article considers distributed composite minimization with set constraints and nonsmooth terms represented by indicator functions. In this setup, projecting onto set constraints is difficult, while indicator functions admit efficient proximal operations. Problems of this form frequently arise in the context of semidefinite programming and its applications, such as clustering and kernel learning. However, existing distributed algorithms for composite minimization are designed exclusively fo...
• A New Framework for Constrained Optimization via Feedback Control of Lagrange Multipliers AI翻译
  作者：Cerone, Vito; Fosson, Sophie M.; Pirrera, Simone; Regruto, Diego
  作者单位：Polytechnic University of Turin
  摘要：The continuous-time analysis of iterative algorithms for optimization has a long-standing history. This work introduces a novel framework for equality-constrained optimization based on control theory. The central concept is to design a feedback control system in which the Lagrange multipliers serve as the control inputs while the output represents the constraints. This system converges to a stationary point of the constrained optimization problem through suitable regulation. Concerning the Lag...