IEEE Transactions on Automatic Control

最新文章

• On the Design of Distributed Observers for Nonlinear Systems AI翻译
  作者：Wu, Yuanqing; Isidori, Alberto; Lu, Renquan
  作者单位：Guangdong University of Technology; Sapienza University Rome
  摘要：In this article, we investigate the distributed state estimation problem for a nonlinear dynamical system. Relying upon the assumption of the existence of a block-triangular uniform observability canonical form, local high-gain observers are used to stabilize the estimation error for the observable portion of the state, and exchange of information between neighbors is used to achieve consensus in the estimation of the state of the unobservable part. This article addresses, first, the case of a...
• Stochastic Linearization of Feedback Systems With Multivariate Nonlinearities and Systems With State-Multiplicative Noise AI翻译
  作者：Brahma, Sarnaduti; Ossareh, Hamid R.
  作者单位：University of Vermont
  摘要：Quasilinear control (QLC) theory provides a set of methods intended for the analysis and design of stochastic feedback systems with static nonlinearities. QLC leverages the method of stochastic linearization (SL), which linearizes the nonlinear functions by utilizing the statistical properties of the inputs to the nonlinearities. In the traditional QLC literature, SL has been thoroughly applied to systems having nonlinearities with only a single input. This article investigates the case of SL ...
• Fixed-Horizon Active Hypothesis Testing AI翻译
  作者：Kartik, Dhruva; Nayyar, Ashutosh; Mitra, Urbashi
  作者单位：University of Southern California
  摘要：Two active hypothesis testing problems are formulated. In these problems, the agent can perform a fixed number of experiments and then decide on one of the hypotheses or declare its experiments inconclusive. The first problem is an asymmetric formulation in which the objective is to minimize the probability of incorrectly declaring a particular hypothesis to be true while ensuring that the probability of correctly declaring that hypothesis is moderately high. This formulation is a generalizati...
• Delay Robustness of PID Control of Second-Order Systems: Pseudoconcavity, Exact Delay Margin, and Performance Tradeoff AI翻译
  作者：Chen, Jianqi; Ma, Dan; Xu, Yong; Chen, Jie
  作者单位：City University of Hong Kong; Northeastern University - China; Guangdong University of Technology
  摘要：In this article, we study delay robustness of PID controllers in stabilizing systems containing uncertain delays. We consider second-order systems and seek analytical characterization and exact computation of the PID delay margin, where by PID delay margin we mean the maximal range of delay values within which the system can be robustly stabilized by a PID controller. Our primary contribution is threefold. First, we show that the delay margin achieved by PID control coincides with that by PD c...
• Distributed Online Optimization With Long-Term Constraints AI翻译
  作者：Yuan, Deming; Proutiere, Alexandre; Shi, Guodong
  作者单位：Nanjing University of Science & Technology; Royal Institute of Technology; University of Sydney
  摘要：In this article, we consider distributed online convex optimization problems, where the distributed system consists of various computing units connected through a time-varying communication graph. In each time step, each computing unit selects a constrained vector, experiences a loss equal to an arbitrary convex function evaluated at this vector, and may communicate to its neighbors in the graph. The objective is to minimize the system-wide loss accumulated over time. We propose a decentralize...
• On Distributed Nonconvex Optimization: Projected Subgradient Method for Weakly Convex Problems in Networks AI翻译
  作者：Chen, Shixiang; Garcia, Alfredo; Shahrampour, Shahin
  作者单位：Texas A&M University System; Texas A&M University College Station
  摘要：The stochastic subgradient method is a widely used algorithm for solving large-scale optimization problems arising in machine learning. Often, these problems are neither smooth nor convex. Recently, Davis et al., 2018 characterized the convergence of the stochastic subgradient method for the weakly convex case, which encompasses many important applications (e.g., robust phase retrieval, blind deconvolution, biconvex compressive sensing, and dictionary learning). In practice, distributed implem...
• Adaptive State-Feedback Shared Control for Constrained Uncertain Mechanical Systems AI翻译
  作者：Sun, Liang; Jiang, Jingjing
  作者单位：University of Science & Technology Beijing; University of Science & Technology Beijing; Loughborough University
  摘要：This work develops two kinds of adaptive state feedback shared-control algorithms for a class of nonlinear mechanical systems in the presence of output constraints described by a set of linear inequalities. The parametric uncertainties and unknown external disturbances in the dynamical model are compensated by the proposed adaptive control laws for the feedback controller. In particular, an adaptive fixed-time state-feedback control law is also developed after the classical robust adaptive sta...
• Resilient Consensus of Higher Order Multiagent Networks: An Attack Isolation-Based Approach AI翻译
  作者：Zhao, Dan; Lv, Yuezu; Yu, Xinghuo; Wen, Guanghui; Chen, Guanrong
  作者单位：Southeast University - China; Southeast University - China; Royal Melbourne Institute of Technology (RMIT); City University of Hong Kong
  摘要：Current resilient consensus algorithms deal with multiagent networks with lower order nodal dynamics where each agent excludes certain extreme values from its neighbors. This does not scale well in general networks. In this article, a new type of resilient consensus algorithm based on distributed attack isolation (DAI-RC) is proposed for general higher order networks. In the DAI-RC algorithm, the evolution of each normal agent can avoid the influence from those neighbors which are isolated as ...
• Robust Cooperative Output Regulation for a Network of Parabolic PDE Systems AI翻译
  作者：Deutscher, Joachim
  作者单位：Ulm University
  摘要：This article considers the robust cooperative output regulation for a network of parabolic PDE systems. The solution to this problem is obtained by extending the cooperative internal model principle from finite to infinite dimensions. For a time-invariant digraph describing the communication topology, a two-step backstepping approach is presented to systematically design cooperative state feedback regulators. This allows to solve both the leader-follower and the leaderless output synchronizati...
• Discrete Event Dynamic Modeling and Analysis of the Democratic Progress in a Society Controlled by Networked Agents AI翻译
  作者：Park, Seong-Jin; Cho, Kwang-Hyun
  作者单位：Ajou University; Korea Advanced Institute of Science & Technology (KAIST)
  摘要：This article proposes a formal framework based on discrete event systems in order to analyze the democratic progress and regression in a society controlled by networked agents. For this purpose, we construct a simple model using a finite state automaton that describes the dynamic behavior of progress and regression in a democracy. We represent a network of agents as a directed graph where each agent has its own objective. Each agent may be a citizen or a group of people sharing a common object...