IEEE Transactions on Automatic Control

最新文章

• Event-Triggered Multiagent System Rendezvous With Graph Maintenance in Varied Hybrid Formulations: A Comparative Study AI翻译
  作者：Zegers, Federico M.; Guralnik, Dan P.; Dixon, Warren E.
  作者单位：Johns Hopkins University; Johns Hopkins University Applied Physics Laboratory; State University System of Florida; University of Florida
  摘要：This article explores the rendezvous problem for a multiagent system (MAS) with distance-limited, intermittent communication and sensing. Unlike previous works that provide specific event-triggered controllers, we provide a framework that characterizes a family of distributed event-triggered controllers leveraging nonsingular edge-potentials to achieve approximate rendezvous while maintaining the initial distance-limited graph. The proposed framework excludes the possibility of Zeno behavior a...
• Semiglobal Fixed-Time State Estimation and Unknown Input Reconstruction via First-Order Sliding-Mode Observers With Delay AI翻译
  作者：Pilloni, Alessandro; Pisano, Alessandro; Usai, Elio
  作者单位：University of Cagliari
  摘要：This article addresses the state estimation and unknown input reconstruction in strongly observable linear systems under the so-called matching conditions. Our proposal extends previous approaches to predefined-time state estimation, which involved the use of a pair of time-delay observers, adapting them to the framework of sliding-mode observation in the presence of unknown inputs. As a result, a novel sliding-mode-based observation algorithm is developed, which exhibits desirable properties,...
• Nodal Consensus in Multiagent Systems With Edge Communications AI翻译
  作者：Rong, Lina; Jiang, Guo-Ping; Xu, Shengyuan
  作者单位：Nanjing University of Posts & Telecommunications; Nanjing University of Science & Technology
  摘要：In this article, we studies the nodal consensus in multiagent systems subject to edge communications. It is revealed that the edge communication can be modeled as perturbations to the nodal network, and the multiagent network is then equivalent to a feedback loop introducing a negative feedback element to the edge dynamics. In virtue of this, a two-layer network perspective is adopted in studying the nodal consensus, where it is shown that the behavior of edge communication is essentially an i...
• LPRS Analysis of Singularly Perturbed Sliding Mode Control Systems AI翻译
  作者：Aljaberi, Saeed M.; Boiko, Igor
  作者单位：Technology Innovation Institute; Khalifa University of Science & Technology
  摘要：In this article, we examine singularly perturbed sliding mode (SPSM) control systems with linear plants using the Locus of a Perturbed Relay System (LPRS) method. We derive necessary conditions for the existence of chattering, which depend on both the singular perturbation parameter and the plant dynamics. Moreover, concerning the singular perturbation parameter and plant dynamics, we demonstrate that the model of the averaged or slow motions in an SPSM system is of reduced order if an ideal s...
• Semiglobal High-Gain Hybrid Observer for a Class of Hybrid Dynamical Systems With Unknown Jump Times AI翻译
  作者：Bernard, Pauline; Sanfelice, Ricardo G.
  作者单位：Universite PSL; MINES ParisTech; University of California System; University of California Santa Cruz
  摘要：We study the problem of observer design for hybrid dynamical systems in the challenging setting where the times at which jumps occur are unknown or not detected precisely. We remark that when the solutions of interest are known to remain in a compact set and admit a uniform dwell-time and when the flows are strongly differentially observable, a sufficiently fast high-gain observer can be designed to estimate the state during flow, but using the output of the system near its jump times is count...
• Recursive State Estimation for Discrete-Time Nonlinear Systems With Binary Sensors: A Locally Minimized Variance Approach AI翻译
  作者：Huang, Yi-Bo; Wang, Zidong; He, Yong; Wu, Min
  作者单位：Zhejiang University; Brunel University; China University of Geosciences
  摘要：In this article, the locally minimized-variance state estimation problem is investigated for a class of discrete-time nonlinear systems with Lipschitz nonlinearities and binary sensors. The output of each binary sensor takes two possible values (e.g., 0 and 1) in accordance with whether the sensed variable surpasses a prescribed threshold or not. The purpose of this article is to design a state estimation algorithm such that an upper bound of the estimation error covariance is firstly guarante...
• Indirect NRDF for Partially Observable Gauss-Markov Processes With MSE Distortion: Characterizations and Optimal Solutions AI翻译
  作者：Stavrou, Photios A.; Skoglund, Mikael
  作者单位：IMT - Institut Mines-Telecom; EURECOM; Royal Institute of Technology
  摘要：We study the problem of characterizing and computing the Gaussian nonanticipative rate-distortion function (NRDF) of partially observable multivariate Gauss-Markov processes with mean-squared error (MSE) distortion constraints. First, we extend Witsenhausen's tensorization approach originally used for single-letter random variables to causal processes, to obtain a new modified representation of the NRDF for the specific problem. For time-varying vector processes, we prove conditions so that th...
• Asymptotic Tracking Control of Nonlinear Strict-Feedback Systems With State/Output Triggering: A Homogeneous Filtering Approach AI翻译
  作者：Zhang, Lili; Deng, Chao; An, Liwei
  作者单位：Northeastern University - China; Nanjing University of Posts & Telecommunications; Northeastern University - China
  摘要：This article studies the problem of event-triggered (ET) backstepping control with state/output triggering for nonlinear strict-feedback systems. To address the issue of nondifferentiability of virtual controls caused by the ET mechanism, a set of homogeneous feedback filters are constructed to generate smooth state/output estimates with necessary differentiability, all states of which are the estimates of the state of the subsystem of the same order. Then, new coordinate transformations are i...
• Exponentially Stable Adaptive Observation for Systems Parameterized by Unknown Physical Parameters 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：The method to design exponentially stable adaptive observers is proposed for linear time-invariant systems parameterized by unknown physical parameters. Unlike existing adaptive solutions, the system state-space matrices A, B are not restricted to be represented in the observer canonical form to implement the observer. The original system description is used instead, and, consequently, the original state vector is obtained. The class of systems for which the method is applicable is identified ...
• Composite Boundary Structure-Based Tracking Control for Nonlinear State-Dependent Constrained Systems AI翻译
  作者：Li, Dapeng; Han, Hong-Gui; Qiao, Jun-Fei
  作者单位：Beijing University of Technology
  摘要：In this article, the tracking control problem is investigated for uncertain nonlinear multiple constrained systems. The constraints on tracking error and system states are considered as asymmetric, time-varying, and state-dependent case, which is more general and appropriately unsolved at the present stage. To deal with constraint problem, an adaptive constraint control method based on composite boundary structure is proposed in this article. The state-dependent mapping is introduced to ensure...