9期

最新文章

• Undirected Weighted Network Topologies With Best Possible Pinning Controllability AI翻译
  作者：Jafarizadeh, Saber
  摘要：Controllability of complex networks through pinning control toward a desired trajectory is crucial for ensuring synchronization stability. Concerned with the local stability of the network's synchronization, here, the controllability problem is addressed different from the literature by incorporating weighted Laplacian and nonuniform feedback gain. This approach has led to a spectral radius minimization problem, where using its semidefinite programming (SDP) formulation leads to a unique optim...
• Output Feedback Stabilization of Switched Planar Systems With Incomplete Information AI翻译
  作者：Lin, Xiangze; Liu, Yuanshan; Park, Ju H.
  作者单位：Nanjing Agricultural University; Yeungnam University
  摘要：Output feedback control of switched nonlinear planar systems (SNPSs) with quantized after being sampled information under arbitrary switchings is mainly investigated. Output signals are sampled by meticulously constructed switched dynamic event-triggered mechanisms (SDE-TMs). Then, the sampled information is further quantized by logarithmic quantizer, transmitted by network and converted to analog signals by a zero-order holder. Just leveraging this quantized-after-sampled information, switche...
• Decentralized State-Dependent Markov Chain Synthesis With an Application to Swarm Guidance AI翻译
  作者：Uzun, Samet; Ure, Nazm Kemal; Ackmese, Behcet
  作者单位：University of Washington; University of Washington Seattle; Istanbul Technical University
  摘要：This article introduces a decentralized state-dependent Markov chain synthesis (DSMC) algorithm for finite-state Markov chains. We present a state-dependent consensus protocol that achieves exponential convergence under mild technical conditions, without relying on any connectivity assumptions regarding the dynamic network topology. Utilizing the proposed consensus protocol, we develop the DSMC algorithm, updating the Markov matrix based on the current state while ensuring the convergence cond...
• 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...
• Online Optimization and Ambiguity-Based Learning of Distributionally Uncertain Dynamic Systems AI翻译
  作者：Li, Dan; Fooladivanda, Dariush; Martinez, Sonia
  作者单位：University of California System; University of California San Diego; University of California System; University of California Berkeley
  摘要：This article proposes a novel approach to construct data-driven online solutions to optimization problems (P) subject to a class of distributionally uncertain dynamical systems. The introduced framework allows for the simultaneous learning of distributional system uncertainty via a parameterized, control-dependent ambiguity set using a finite historical dataset, and its use to make online decisions with probabilistic regret function bounds. Leveraging the merits of machine learning, the main t...
• A Preset-Trajectory-Based Singularity-Free Preassigned Performance Control Approach AI翻译
  作者：Shi, Wenrui; Hou, Mingzhe; Duan, Guangren
  作者单位：Harbin Institute of Technology
  摘要：The preassigned performance control (PPC) methods have attracted considerable attention in recent years; however, most of the mainstream PPC methods utilize barrier functions, and thus, may suffer from the singularity problem of the control law under some unexpected conditions, such as sensor faults. In this article, a new robust PPC method without using barrier functions is proposed for second-order vector nonlinear systems, which can completely avoid the singularity problem of the control la...
• Data-Driven Structured Policy Iteration for Homogeneous Distributed Systems AI翻译
  作者：Alemzadeh, Siavash; Talebi, Shahriar; Mesbahi, Mehran
  作者单位：University of Washington; University of Washington Seattle; Microsoft; Harvard University
  摘要：Control of networked systems, comprised of interacting agents, is often achieved through modeling the underlying interactions. Constructing accurate models of such interactions-in the meantime-can become prohibitive in applications. Data-driven control methods avoid such complications by directly synthesizing a controller from the observed data. In this article, we propose an algorithm referred to as data-driven structured policy iteration (D2SPI), for synthesizing an efficient feedback mechan...