IEEE Transactions on Automatic Control

最新文章

• 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...
• Prescribed-Time Stabilization of a Class of Nonlinear Systems by Linear Time-Varying Feedback AI翻译
  作者：Zhou, Bin; Shi, Yang
  作者单位：Harbin Institute of Technology; University of Victoria
  摘要：This article studies the problem of prescribed-time global stabilization of a class of nonlinear systems, where the nonlinear functions are unknown but satisfy a linear growth condition. By using solutions to a class of parametric Lyapunov equations containing a time-varying parameter that goes to infinity as the time approaches the prescribed settling time, linear time-varying feedback is designed explicitly to solve the considered problem, with the help of a Lyapunov-like function. It is sho...
• Adaptive Controller and Observer Design Using Open and Closed-Loop Reference Models for Linear Time-Invariant Systems With Unknown Dynamics AI翻译
  作者：Ohrem, Sveinung Johan; Holden, Christian
  作者单位：Norwegian University of Science & Technology (NTNU)
  摘要：This article presents an output feedback controller and observer design approach for linear time-invariant systems with unknown dynamics. The presented method uses an open-loop reference model to generate the desired trajectory and a closed-loop reference model as an observer. The controller only uses the observer states. Lyapunov-based stability proofs show that the error states converge asymptotically to zero and that all other signals are uniformly stable. Furthermore, bounds are proven on ...
• On Inf-Convolution-Based Robust Practical Stabilization Under Computational Uncertainty AI翻译
  作者：Schmidt, Patrick; Osinenko, Pavel; Streif, Stefan
  作者单位：Technische Universitat Chemnitz; Technische Universitat Chemnitz; Skolkovo Institute of Science & Technology
  摘要：This article is concerned with practical stabilization of nonlinear systems by means of inf-convolution-based sample-and-hold control. It is a fairly general stabilization technique based on a generic nonsmooth control Lyapunov function (CLF) and robust to actuator uncertainty, measurement noise, etc. The stabilization technique itself involves computation of descent directions of the CLF. It turns out that nonexact realization of this computation leads not just to a quantitative, but also qua...