IEEE Transactions on Automatic Control

最新文章

• Diffusing-Horizon Model Predictive Control AI翻译
  作者：Shin, Sungho; Zavala, Victor M. M.
  作者单位：University of Wisconsin System; University of Wisconsin Madison
  摘要：We analyze a time-coarsening strategy for model predictive control (MPC) that we call diffusing-horizon MPC. This strategy seeks to overcome the computational challenges associated with optimal control problems that span multiple timescales. The coarsening approach uses a time discretization grid that becomes exponentially more sparse as one moves forward in time. This design is motivated by a recently established property of optimal control problems that is known as exponential decay of sensi...
• Maximum Likelihood Estimation in Data-Driven Modeling and Control AI翻译
  作者：Yin, Mingzhou; Iannelli, Andrea; Smith, Roy S. S.
  作者单位：Swiss Federal Institutes of Technology Domain; ETH Zurich
  摘要：Recently, various algorithms for data-driven simulation and control have been proposed based on the Willems' fundamental lemma. However, when collected data are noisy, these methods lead to ill-conditioned data-driven model structures. In this article, we present a maximum likelihood framework to obtain an optimal data-driven model, the signal matrix model, in the presence of output noise. Data compression and noise-level estimation schemes are also proposed to apply the algorithm efficiently ...
• Event-Triggered Cost-Guaranteed Control for Linear Repetitive Processes Under Probabilistic Constraints AI翻译
  作者：Zhu, Kaiqun; Wang, Zidong; Chen, Yun; Wei, Guoliang
  作者单位：University of Shanghai for Science & Technology; Brunel University; Hangzhou Dianzi University; University of Shanghai for Science & Technology
  摘要：In this article, the event-triggered cost-guaranteed control problem is investigated for a class of shift-varying linear repetitive processes (LRPs) with multiplicative noises under probabilistic constraints. First, in order to relieve the communication burden and improve the communication efficiency, the event-triggered mechanism is exploited for the shift-varying LRPs over the communication network of limited bandwidth. By constructing a novel event generator function, the order of the event...
• Safe Consensus Tracking With Guaranteed Full State and Input Constraints: A Control Barrier Function-Based Approach AI翻译
  作者：Fu, Junjie; Wen, Guanghui; Yu, Xinghuo
  作者单位：Southeast University - China; Royal Melbourne Institute of Technology (RMIT)
  摘要：In this article, we consider the safe consensus tracking problem for uncertain second-order nonlinear multiagent systems subject to position, velocity, and input constraints. The agents are required to cooperatively track a desired leader's trajectory while always satisfying their local state and input constraints. Therefore, conflicting objectives may exist for an agent when the desired trajectory violates its local constraints. We propose to solve this problem using a control barrier functio...
• H∞ Control of Constrained Markov Jump Systems With Intermittent Mode Information Loss AI翻译
  作者：Shen, Ying; Wu, Zheng-Guang; Shi, Peng; Chen, Bo
  作者单位：Zhejiang University of Technology; Zhejiang University; Zhejiang Normal University; University of Adelaide
  摘要：This article investigates H-infinity control for continuous time Markov jump systems subject to joint input-state constraint and intermittent mode information loss. The considered constraint, which is defined as a quadratic function of the system state and control input, is very general since it covers the input constraint, state constraint, or other constraints for physical quantities of interest. The mode information loss is described by a Bernoulli stochastic process. As a result, the syste...
• Semiglobal Robust Consensus of Discrete-Time MASs Subject to Input Saturation and Additive Perturbations AI翻译
  作者：Su, Housheng; Yang, Yucheng; Gao, Zhiwei
  作者单位：Huazhong University of Science & Technology; Northumbria University
  摘要：The robust consensus problem of general linear discrete-time multiagent systems (MASs) suffering both heterogeneous additive stable perturbations and input saturation is discussed in this article via dynamic output feedback combining with the low-gain feedback technique. By using the modified algebraic Riccati equation and unified H-infinity controller design method, an effective output feedback control protocol without controller exchange is constructed for MASs with a directed communication ...
• Distributed Anti-Eavesdropping Fusion Estimation Under Energy Constraints AI翻译
  作者：Xu, Daxing; Chen, Bo; Zhang, Yuchen; Yu, Li
  作者单位：Zhejiang University of Technology; Quzhou University
  摘要：In this article, we study the distributed fusion estimation problem with energy-constrained sensors in the presence of eavesdroppers, where smart sensors send their local estimates to a remote fusion center. To enhance privacy level, a novel encryption strategy is proposed by establishing an optimization problem, where the optimization objective is constructed by maximizing a combination of the fusion terminal estimation error covariance and the cost of encryption process in finite time domain...
• Variance-Reduced Splitting Schemes for Monotone Stochastic Generalized Equations AI翻译
  作者：Cui, Shisheng; Shanbhag, Uday V.
  作者单位：Beijing Institute of Technology; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
  摘要：We consider monotone inclusion problems with expectation-valued operators, a class of problems that subsumes convex stochastic optimization problems with possibly smooth expectation-valued constraints as well as subclasses of stochastic variational inequality and equilibrium problems. A direct application of splitting schemes is complicated by the need to resolve problems with expectation-valued maps at each step, a concern addressed via sampling. Accordingly, we propose an avenue for addressi...
• Multiobjective Distributed Optimization via a Predefined-Time Multiagent Approach AI翻译
  作者：Liu, Yang; Xia, Zicong; Gui, Weihua
  作者单位：Zhejiang Normal University; Zhejiang Normal University; Central South University
  摘要：In this study, we propose a predefined-time multi-agent approach for multiobjective optimization. Predefined-time optimization is an optimization approach that can converge to a state that is extremely close to an optimal solution at a given time. A time-base generator is derived and applied to the optimization approaches for achieving predefined-time optimization. The multi-objective optimization problem is reformulated as a distributed optimization problem and, thus, solved in a private and ...
• Stability and Performance Analysis of NMPC: Detectable Stage Costs and General Terminal Costs AI翻译
  作者：Kohler, Johannes; Zeilinger, Melanie N.; Gruene, Lars
  作者单位：Swiss Federal Institutes of Technology Domain; ETH Zurich; University of Bayreuth
  摘要：We provide a stability and performance analysis for nonlinear model predictive control (NMPC) schemes subject to input constraints. Given an exponential stabilizability and detectability condition w.r.t. the employed state cost, we provide a sufficiently long prediction horizon to ensure asymptotic stability and a desired performance bound w.r.t. the infinite-horizon optimal controller. Compared to existing results, the provided analysis is applicable to positive semidefinite (detectable) cost...