IEEE Transactions on Automatic Control

最新文章

• On Reachability of Markov Chains: A Long-Run Average Approach AI翻译
  作者：Avila, Daniel; Junca, Mauricio
  作者单位：Universite Catholique Louvain; Universidad de los Andes (Colombia)
  摘要：We consider a Markov control model in discrete time with countable both state space and action space. Using the value function of a suitable long-run average reward problem, we study various reachability/controllability problems. First, we characterize the domain of attraction and escape set of the system, and a generalization called p-domain of attraction, using the aforementioned value function. Next, we solve the problem of maximizing the probability of reaching a set A while avoiding a set...
• Optimal Causal Rate-Constrained Sampling of the Wiener Process AI翻译
  作者：Guo, Nian; Kostina, Victoria
  作者单位：California Institute of Technology
  摘要：We consider the following communication scenario. An encoder causally observes the Wiener process and decides when and what to transmit about it. A decoder estimates the process using causally received codewords in real time. We determine the causal encoding and decoding policies that jointly minimize the mean-square estimation error, under the long-term communication rate constraint of R bits per second. We show that an optimal encoding policy can be implemented as a causal sampling policy fo...
• Revisiting Ho-Kalman-Based System Identification: Robustness and Finite-Sample Analysis AI翻译
  作者：Oymak, Samet; Ozay, Necmiye
  作者单位：University of California System; University of California Riverside; University of Michigan System; University of Michigan
  摘要：Weconsider the problem of learning a realization for a linear time-invariant (LTI) dynamical system from input/output data. Given a single input/output trajectory, we provide finite time analysis for learning the system's Markov parameters, from which a balanced realization is estimated using the classical Ho-Kalman algorithm. By proving a robustness result for the Ho-Kalman algorithm and combining it with the sample complexity results for Markov parameters, we show how much data are needed to...
• A Port-Hamiltonian Control Framework to Render a Power Electronic System Passive AI翻译
  作者：Zhong, Qing-Chang; Stefanello, Marcio
  作者单位：Illinois Institute of Technology; Universidade Federal do Pampa
  摘要：In this article, a control framework is proposed to render a power electronic system passive by adopting the port-Hamiltonian (pH) systems theory. The system has a power electronic converter, either grid-tied or islanded. The control framework consists of a lossless interconnection block and three control channels. It makes the power converter behave as a virtual synchronous machine (VSM). The three channels are designed to, respectively, generate the frequency and the flux of the VSM and a th...
• Robust Fixed-Time Stability: Application to Sliding-Mode Control AI翻译
  作者：Moulay, Emmanuel; Lechappe, Vincent; Bernuau, Emmanuel; Plestan, Franck
  作者单位：Universite de Poitiers; Institut National des Sciences Appliquees de Lyon - INSA Lyon; Centre National de la Recherche Scientifique (CNRS); Universite Claude Bernard Lyon 1; Universite Paris Saclay; AgroParisTech; INRAE; Nantes Universite; Ecole Centrale de Nantes
  摘要：This article deals with robust fixed-time stability and stabilization. First, new global robust fixed-time stability results are proposed for scalar systems by using constant and variable exponent coefficients. Then, they are applied to global robust fixed-time stabilization of a class of uncertain nonlinear second-order systems by using sliding-mode control. All the results are illustrated in simulation.
• Partial-Order Reduction for Supervisory Controller Synthesis AI翻译
  作者：van der Sanden, Bram; Geilen, Marc; Reniers, Michel; Basten, Twan
  作者单位：Eindhoven University of Technology
  摘要：A key challenge in the synthesis and subsequent analysis of supervisory controllers is the impact of state-space explosion caused by concurrency. The main bottleneck is often the memory needed to store the composition of plant and requirement automata and the resulting supervisor. Partial-order reduction (POR) is a well-established technique that alleviates this issue in the field of model checking. It does so by exploiting redundancy in the model with respect to the properties of interest. Fo...
• State Estimation Under Joint False Data Injection Attacks: Dealing With Constraints and Insecurity AI翻译
  作者：Xu, Wenying; Wang, Zidong; Hu, Liang; Kurths, Juergen
  作者单位：Southeast University - China; Shandong University of Science & Technology; Brunel University; University of Essex; Potsdam Institut fur Klimafolgenforschung; Lobachevsky State University of Nizhni Novgorod
  摘要：This article is concerned with the security issue in the state estimation problem for a networked control system (NCS). A new model of joint false data injection (FDI) attack is established wherein attacks are injected to both the remote estimator and the communication channels. Such a model is general that includes most existing FDI attack models as special cases. The joint FDI attacks are subjected to limited access and/or resource constraints, and this gives rise to a few attack scenarios t...
• Stealthy Integrity Attacks for a Class of Nonlinear Cyber-Physical Systems AI翻译
  作者：Zhang, Kangkang; Keliris, Christodoulos; Parisini, Thomas; Polycarpou, Marios M.
  作者单位：University of Cyprus; University of Cyprus; Imperial College London; University of Trieste
  摘要：This article proposes a stealthy integrity attack generation methodology for a class of nonlinear cyber-physical systems. Geometric control theory and stability theory of incremental systems are used to design an attack generation scheme with stealthiness properties. An attack model is proposed as a closed-loop dynamical system with an arbitrary input signal. This model is developed based on a controlled invariant subspace that results from geometric control theory and is decoupled with the sy...
• Expand Your Network, Get Rewarded AI翻译
  作者：[Anonymous]
  摘要：Advertisement.
• Tractable Calculation and Estimation of the Optimal Weighting Matrix for ALS Problems AI翻译
  作者：Arnold, Travis J.; Rawlings, James B.
  作者单位：University of California System; University of California Santa Barbara
  摘要：We study autocovariance least squares (ALS) estimation methods for covariance estimation for linear time-invariant systems. Previous works have posited that calculation of the ALS weighting matrix is intractable unless the number of data points N-d is small because it requires storage of a matrix whose number of elements scales as N-d(4). We derive a novel way to compute the weight that avoids this difficulty. In practice, the true optimal weight cannot be calculated because it is a function o...