2021

最新文章

• Dynamic Self-Triggered Controller Codesign for Markov Jump Systems AI翻译
  作者：Wan, Haiying; Luan, Xiaoli; Karimi, Hamid Reza; Liu, Fei
  作者单位：Jiangnan University; Polytechnic University of Milan
  摘要：This article proposes a resource-aware triggering-based dynamic controller codesign scheme for Markov jump systems (MJSs) to fulfill both disturbance rejection and computational resources saving goals. Specifically, a self-trigger strategy is presented for precomputing the next execution time for state measurement, executing the controller, and updating the actuators using the current sampled information. To achieve a desired system performance and reduce the resource occupation, the self-trig...
• Predictor-Based Output-Feedback Control of Linear Stochastic Systems With Large I/O Delays AI翻译
  作者：Cacace, Filippo; Germani, Alfredo; Manes, Costanzo; Papi, Marco
  作者单位：University Campus Bio-Medico - Rome Italy; Consiglio Nazionale delle Ricerche (CNR); Istituto di Analisi dei Sistemi ed Informatica Antonio Ruberti (IASI-CNR); University of L'Aquila
  摘要：In this article, we extend the stability results of cascaded closed-loop predictors for deterministic systems to stochastic linear systems with additive noise and arbitrarily large time-varying input delay, under suitable hypothesis on the delay function. We propose an output-feedback controller design based on a set of differential delay equations with size depending on the delay bound and we show that it ensures exponential stability in mean and mean square stability of the controlled system...
• Interval Estimation for Uncertain Systems via Polynomial Chaos Expansions AI翻译
  作者：Han, Weixin; Wang, Zhenhua; Shen, Yi; Xu, Bin
  作者单位：Northwestern Polytechnical University; Harbin Institute of Technology
  摘要：This article investigates interval estimation for linear systems with time-invariant probabilistic uncertainty. A two-step interval estimation method, which consists of nominal observer design and estimation error bound analysis, is proposed based on polynomial chaos expansion (PCE) and zonotopic technique. To deal with time-invariant probabilistic uncertainty, the error dynamics is approximated via PCE, which leads to an expanded deterministic linear system. Then intervals of the expanded sys...
• A Switching Observer for a Class of Nonuniformly Observable Systems via Singular Time-Rescaling AI翻译
  作者：Aguado-Rojas, Missie; Hoang, Trong Bien; Pasillas-Lepine, William; Loria, Antonio; Respondek, Witold
  作者单位：Universite Paris Saclay; Centre National de la Recherche Scientifique (CNRS); Universite Paris Saclay; Centre National de la Recherche Scientifique (CNRS); Universite de Rouen Normandie
  摘要：We present a switching observer for a class of nonuniformly observable systems that are affine in the unmeasured states and nonlinear in the measured output. Using a singular time-rescaling, the dynamics of the estimation error is transformed into that of a bimodal switched linear system. Sufficient conditions that guarantee the observer's uniform asymptotic stability are provided; these are stated in terms of persistency of excitation and dwell-time of the (output-dependent) time-scaling func...
• Model Identification and Adaptive State Observation for a Class of Nonlinear Systems AI翻译
  作者：Bin, Michelangelo; Marconi, Lorenzo
  作者单位：Imperial College London; University of Bologna
  摘要：In this article, we consider the joint problems of state estimation and model identification for a class of continuous-time nonlinear systems in the output-feedback canonical form. An adaptive observer is proposed that combines an extended high-gain observer and a discrete-time identifier. The extended observer provides the identifier with a dataset permitting the identification of the system model and the identifier adapts the extended observer according to the new estimated model. The design...
• The Nash Equilibrium With Inertia in Population Games AI翻译
  作者：Gentile, Basilio; Paccagnan, Dario; Ogunsula, Bolutife; Lygeros, John
  作者单位：Imperial College London; Bloomberg L.P.; Swiss Federal Institutes of Technology Domain; ETH Zurich
  摘要：In the traditional game-theoretic set up, where agents select actions and experience corresponding utilities, a Nash equilibrium is a configuration where no agent can improve their utility by unilaterally switching to a different action. In this article, we introduce the novel notion of inertial Nash equilibrium to account for the fact that in many practical situations switching action does not come for free. Specifically, we consider a population game and introduce the coefficients c(ij) desc...
• Distributed Balancing Under Flow Constraints Over Arbitrary Communication Topologies AI翻译
  作者：Hadjicostis, Christoforos N.; Dominguez-Garcia, Alejandro D.
  作者单位：University of Cyprus; University of Illinois System; University of Illinois Urbana-Champaign
  摘要：In this article, we consider a flow network that is described by a digraph, each edge of which can admit a flow within a certain interval, with non-negative end points that correspond to lower and upper flow limits. We propose and analyze a distributed iterative algorithm for solving the so-called feasible circulation problem, which consists of computing flows that are within the given intervals at each edge and balance the total inflow and the total outflow at each node. Unlike previously pro...
• A Unified Framework for Adaptive Leaderless Consensus of Uncertain Multiagent Systems Under Directed Graphs AI翻译
  作者：Mei, Jie; Ren, Wei; Song, Yongduan
  作者单位：Harbin Institute of Technology; University of California System; University of California Riverside; Chongqing University
  摘要：Due to the nonsymmetric property of the associated Laplacian matrix and the existence of uncertainties in the agent dynamics, the leaderless consensus problem of uncertain multiagent systems under general directed graphs is challenging. Motivated by the classical model reference adaptive control, in this article, we propose a simple yet efficient scheme, called the model reference adaptive consensus, by arranging each agent a reference output to track, where the output is generated by a linear...
• Nonlinear Model Reduction in the Loewner Framework AI翻译
  作者：Simard, Joel D.; Astolfi, Alessandro
  作者单位：Imperial College London; University of Rome Tor Vergata
  摘要：We introduce a novel method of model reduction for nonlinear systems by extending the Loewner framework developed for linear time-invariant systems. This objective is achieved by defining Loewner functions obtained by utilizing a state-space interpretation of the Loewner matrices. A Loewner equivalent model using these functions is derived. This allows constructing reduced order models achieving interpolation in the Loewner sense.
• Boundary Control and Observation to Inverse Coefficient Problem for Heat Equation With Unknown Source and Initial Value AI翻译
  作者：Zhao, Zhi-Xue; Guo, Bao-Zhu; Han, Zhong-Jie
  作者单位：Tianjin Normal University; North China Electric Power University; Foshan University; Tianjin University
  摘要：This article investigates an inverse problem of determining the spatially variable diffusion coefficient of a one-dimensional heat equation with an unknown spatial varying source term and initial value. The big challenge of the problem comes from the multiple unknowns and very limited available data that are only boundary control and boundary observation at one end, in addition to the ill-posed nature of the inverse problem. We first design a switch ON/OFF boundary control and show that the di...