IEEE Transactions on Automatic Control

最新文章

• Sliding Mode Control for a Class of Linear Infinite-Dimensional Systems AI翻译
  作者：Balogoun, Ismaila; Marx, Swann; Plestan, Franck
  作者单位：Centre National de la Recherche Scientifique (CNRS); CNRS - Institute for Information Sciences & Technologies (INS2I); Nantes Universite; Ecole Centrale de Nantes
  摘要：This article deals with the stabilization of a class of linear infinite-dimensional systems with unbounded control operators and subject to a boundary disturbance. We assume that there exists a linear feedback law that makes the origin of the closed-loop system globally asymptotically stable in the absence of disturbance. To achieve our objective, we follow a sliding mode strategy, and we add another term to this controller in order to reject the disturbance. We prove the existence of solution...
• Distributed Nash Equilibrium Seeking in Aggregative Games Over Jointly Connected and Weight-Balanced Networks AI翻译
  作者：Liu, Zhaocong; Huang, Jie
  作者单位：Chinese University of Hong Kong
  摘要：The problem of the distributed Nash equilibrium (NE) seeking for aggregative games has been studied over strongly connected and weight-balanced static networks and every time strongly connected and weight-balanced switching networks. In this article, we further study the same problem over jointly connected and weight-balanced networks. The existing approaches critically rely on the connectedness of the network and these approaches fail if the network is not connected. To overcome this difficul...
• An Adaptive Distributed Observer for a Class of Discrete-Time Uncertain Linear Leader Systems Over Jointly Connected Switching Networks AI翻译
  作者：Liu, Tao; Huang, Jie
  作者单位：Southern University of Science & Technology; Chinese University of Hong Kong
  摘要：This article proposes an output-based adaptive distributed observer for a class of discrete-time uncertain linear leader systems. The leader system is neutrally stable with unknown parameters in its system matrix. Such a leader system can produce discrete-time multitone sinusoidal signals with arbitrary magnitudes, arbitrary phases, and unknown frequencies. The adaptive distributed observer for the uncertain leader system is obtained via a two-step design. In the first step, both the state and...
• Boundary PI Feedback Stabilization of Combustion Oscillations in the Rijke Tube AI翻译
  作者：Zhang, Yu-Long; Liu, Shaojie; Wang, Zhaohui; Wang, Jun-Min; Li, Donghai; Zhu, Min
  作者单位：Beijing Institute of Technology; Tsinghua University; Tsinghua University
  摘要：In this article, we consider the stabilization of combustion oscillations in the Rijke tube, which is modeled by a linearized wave equation with heat release fluctuation ordinary differential equation (ODE) acting as a point source term. A boundary proportional-integral (PI) feedback controller is designed to suppress the combustion oscillations. The Nyquist criterion is applied to prove that eigenvalues of the operator of the close-loop system are all located on the left-hand side of the comp...
• Synchronization Acceleration of Networked Systems via Edge Addition to Single-Root Weighted Digraphs AI翻译
  作者：Cao, Haosen; Zhang, Hai-Tao; Xie, Lihua
  作者单位：Huazhong University of Science & Technology; Huazhong University of Science & Technology; Huazhong University of Science & Technology; Nanyang Technological University
  摘要：Distributed networked systems with Laplacian dynamics play a crucial role in various fields, such as engineering, biology, system science, social science, and physics. To optimize the synchronization performance of such networks, topological adjustments have been identified as effective and efficient ways. This article establishes a theoretical framework for accelerating synchronization convergence by introducing an additional directed edge or increasing edge weight to a network topology. The ...
• Safe Formation Control of Uncertain Multiagent Systems From a Bayesian Perspective AI翻译
  作者：Li, Boqian; Guo, Zhenyuan; Hu, Cheng; Zhu, Song; Wen, Shiping
  作者单位：University of Technology Sydney; Hunan University; Xinjiang University; China University of Mining & Technology
  摘要：In this study, we address the formation control of uncertain multiagent systems with a safety requirement of collision avoidance. The control inputs are determined through quadratic programming (QP) solvers, where both the control Lyapunov function condition and control barrier function condition serve as constraints in the QP problem to achieve the control and safety objectives, respectively. In this work, the Bayesian theorem plays a crucial role in two key aspects. First, the unknown uncert...
• Instrumental Variables Based DREM for Online Asymptotic Identification of Perturbed Linear Systems AI翻译
  作者：Glushchenko, Anton; Lastochkin, Konstantin
  作者单位：V.A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences
  摘要：Existing online continuous-time parameter estimation laws provide exact (asymptotic/exponential or finite/fixed time) identification of dynamical linear/nonlinear systems parameters only if the external perturbations are vanishing to zero or independent with the regressor of the system. However, in real systems the disturbances are almost always nonvanishing and dependent with the regressor. In the presence of perturbations with such properties the abovementioned identification approaches ensu...
• Event-Triggered Basis Augmentation for Multiagent Collaborative Adaptive Estimation AI翻译
  作者：Guo, Jia; Zhang, Fumin
  作者单位：Cornell University; Hong Kong University of Science & Technology
  摘要：Parameterization is a necessary step for learning unstructured unknown dynamical systems. In this article, we aim to balance the tradeoff between expressiveness and complexity when selecting models for parameterizing unstructured dynamics using universal regression models. Rather than using a fixed set of basis functions in the regression model, we introduce the event-triggered basis augmentation (ETBA) technique for adaptive estimation, which gradually builds up an expressive regression model...
• Complexity Reduction for Resilient State Estimation of Uniformly Observable Nonlinear Systems AI翻译
  作者：Kim, Junsoo; Lee, Jin Gyu; Sandberg, Henrik; Johansson, Karl H.
  作者单位：Seoul National University of Science & Technology; Seoul National University (SNU); Royal Institute of Technology
  摘要：A resilient state estimation scheme for uniformly observable nonlinear systems, based on a method for local identification of sensor attacks, is presented. The estimation problem is combinatorial in nature, and so many methods require substantial computational and storage resources as the number of sensors increases. To reduce the complexity, the proposed method performs the attack identification with local subsets of the measurements, not with the set of all measurements. A condition for nonl...
• Sequential Learning and Control: Targeted Exploration for Robust Performance AI翻译
  作者：Venkatasubramanian, Janani; Koehler, Johannes; Berberich, Julian; Allgoewer, Frank
  作者单位：University of Stuttgart; Swiss Federal Institutes of Technology Domain; ETH Zurich
  摘要：In this article, we present a novel dual control strategy for uncertain linear systems based on targeted harmonic exploration and gain-scheduling with performance and excitation guarantees. In the proposed sequential approach, robust control is implemented after exploration with the main feature that the exploration is optimized with respect to the robust control performance. Specifically, we leverage recent results on finite excitation using spectral lines to determine a high-probability lowe...