IEEE Transactions on Automatic Control

最新文章

• Online Distributed Learning for Aggregative Games With Feedback Delays AI翻译
  作者：Liu, Pin; Lu, Kaihong; Xiao, Feng; Wei, Bo; Zheng, Yuanshi
  作者单位：North China Electric Power University; North China Electric Power University; Shandong University of Science & Technology; North China Electric Power University; Xidian University
  摘要：This article proposes a new aggregative game (AG) model with feedback delays. The strategies of players are selected from given strategy sets and subject to global nonlinear inequality constraints. Both cost functions and constrained functions of players are time varying, which reflects the changing nature of environments. At each time, each player only has access to its strategy set information, and the information of its current cost function and current constrained function is unknown. Due ...
• Finite-Horizon H∞ Consensus Control of Discrete Time-Varying Multiagent Systems: A Dynamic Event-Based Learning Approach AI翻译
  作者：Zhang, Hao; Yan, Huaicheng; Qiu, Jianbin
  作者单位：Harbin Institute of Technology; East China University of Science & Technology
  摘要：This article addresses the finite-horizon H-infinity consensus problem for general discrete time-varying multiagent systems with energy-bounded external disturbances and limited network bandwidth resource. A dynamic event-based learning approach is proposed to produce a dynamic discrete-time event-triggered scheme and a dynamic distributed H-infinity consensus protocol. Based on the local state information, the dynamic distributed H-infinity consensus protocol is developed to guarantee the H-i...
• Fully Distributed Control of Multiagent Networks With Edge-Based Event-Triggered Communication AI翻译
  作者：Guo, Shaopan; Meng, Xiangyu
  作者单位：Louisiana State University System; Louisiana State University
  摘要：This article addresses the synchronization problem of linear multiagent systems with intermittent communication. To solve this problem, we propose an adaptive distributed control algorithm with edge-based event-triggering mechanisms that differs fundamentally from existing approaches in that it does not employ any form of global topology information and absolute state information. Instead, agents update their control signals and check triggering conditions based on relative state information. ...
• Predictive Feedback Control for Inventory Systems Subject to Delays and Constraints AI翻译
  作者：Farraa, Berna Bou; Abbou, Rosa; Loiseau, Jean Jacques
  作者单位：Centre National de la Recherche Scientifique (CNRS); Nantes Universite
  摘要：In this article, we discuss the inventory regulation problem of a logistic system composed of a production unit and inventory unit. The production system is characterized by a constant lead time, and the storage unit presents fixed losses due to perishable products. In this study, the system is subject to finite production resources, limited storage capacities, and the customer demands are uncertain in a given range. We address a control strategy to the input time delay system that is subject ...
• Robust Adaptive Dynamic Event-Triggered Control of Switched Nonlinear Systems AI翻译
  作者：Long, Lijun; Wang, Fenglan; Chen, Zhiyong
  作者单位：Northeastern University - China; Northeastern University - China; University of Newcastle
  摘要：This article investigates the robust adaptive event-triggered control (ETC) problem for switched nonlinear systems. A novel robust adaptive controller for nonlinear systems under dwell-time switching is first constructed based on a common virtual control Lyapunov function method using backstepping. Then, a dynamic ETC (DETC) strategy is integrated into the switching controller to constitute an overall solution to the problem under investigation while the challenges caused by interaction of swi...
• A Terminal Set Feasibility Governor for Linear Model Predictive Control AI翻译
  作者：Skibik, Terrence; Liao-McPherson, Dominic; Nicotra, Marco M. M.
  作者单位：University of Colorado System; University of Colorado Boulder; Swiss Federal Institutes of Technology Domain; ETH Zurich
  摘要：The feasibility governor (FG) is an add-on unit for model predictive controllers (MPC) that increases the closed-loop region of attraction by manipulating the applied reference to ensure the underlying optimal control problem is always feasible. The FG requires an estimate of the feasible set of the optimal control problem that underlies the MPC; obtaining this estimate can be computationally intractable for high-dimensional systems. This article proposes a modified FG that bypasses the need f...
• Safe Trajectory Tracking in Uncertain Environments AI翻译
  作者：Batkovic, Ivo; Ali, Mohammad; Falcone, Paolo; Zanon, Mario
  作者单位：Chalmers University of Technology; Chalmers University of Technology; Universita di Modena e Reggio Emilia; IMT School for Advanced Studies Lucca
  摘要：In the model predictive control formulations of trajectory tracking problems, infeasible reference trajectories and a priori unknown constraints can lead to cumbersome designs, aggressive tracking, and loss of recursive feasibility. This is the case, for example, in trajectory tracking applications for mobile systems in the presence of constraints that are not fully known a priori. In this article, we propose a new framework called model predictive flexible trajectory tracking control, which r...
• Learning Controllers for Performance Through LMI Regions AI翻译
  作者：Bisoffi, Andrea; De Persis, Claudio; Tesi, Pietro
  作者单位：University of Groningen; University of Florence
  摘要：In an experiment, an input sequence is applied to an unknown linear time-invariant system (in continuous or discrete time) affected also by an unknown-but-bounded disturbance sequence; the corresponding state sequence (and state derivative sequence, in continuous time) is measured. The goal is to design directly from the input and state sequences a controller that enforces a certain performance specification on the transient behavior of the unknown system. The performance specification is expr...
• Robust Structural Stability, Stability Margins, and Maximum Uncertainty Amplification for 2-D Uncertain Systems via Structured Lyapunov Functions and Matrix Annihilators AI翻译
  作者：Chesi, Graziano
  作者单位：University of Hong Kong
  摘要：This article considers two-dimensional (2-D) uncertain systems with homogeneous or mixed dynamics, and addresses the following three problems: establishing robust structural stability, computing robust structural stability margins, and determining the maximum uncertainty amplification that preserves robust structural stability. Two sufficient linear matrix inequality (LMI) conditions are proposed for establishing robust structural stability obtained by introducing an equivalent closed-loop com...
• Optimal Deception Attacks Against Remote State Estimation: An Information-Based Approach AI翻译
  作者：Zhou, Jing; Shang, Jun; Chen, Tongwen
  作者单位：University of Alberta
  摘要：This article studies the problem of deception attacks against remote state estimation from an information perspective. The Kullback-Leibler divergence between the compromised innovation and nominal one is utilized as the stealthiness measure. Without presupposing a linear attack model, the optimal attack policy that can cause maximum performance loss and deceive the false data detector is derived. For both attacks with strict and relaxed stealthiness, the optimal compromised innovation, which ...