IEEE Transactions on Automatic Control

最新文章

• Set-Membership Filter for Discrete-Time Nonlinear Systems Using State-Dependent Coefficient Parameterization AI翻译
  作者：Bhattacharjee, Diganta; Subbarao, Kamesh
  作者单位：University of Texas System; University of Texas Arlington
  摘要：In this article, a recursive set-membership filtering algorithm for discrete-time nonlinear dynamical systems subject to unknown but bounded process and measurement noises is proposed. The nonlinear dynamics are represented in a pseudolinear form using the state-dependent coefficient (SDC) parameterization. Matrix Taylor expansions are utilized to expand the state-dependent matrices about the state estimates. Upper bounds on the norms of remainders in the matrix Taylor expansions are calculate...
• Allocation of Excitation Signals for Generic Identifiability of Linear Dynamic Networks AI翻译
  作者：Cheng, Xiaodong; Shi, Shengling; Van den Hof, Paul M. J.
  作者单位：Eindhoven University of Technology; University of Cambridge
  摘要：A recent research direction in data-driven modeling is the identification of dynamic networks, in which measured vertex signals are interconnected by dynamic edges represented by causal linear transfer functions. The major question addressed in this article is where to allocate external excitation signals such that a network model set becomes generically identifiable when measuring all vertex signals. To tackle this synthesis problem, a novel graph structure, referred to as directed pseudotree...
• Distributed Optimization of Nonlinear Multiagent Systems: A Small-Gain Approach AI翻译
  作者：Liu, Tengfei; Qin, Zhengyan; Hong, Yiguang; Zhong-Ping Jiang
  作者单位：Northeastern University - China; Tongji University; Tongji University
  摘要：This article studies the distributed optimal output agreement problem for multiagent systems described by uncertain nonlinear models. By using the partial information of an objective function, the design aims to steer the outputs of the agents to an agreement on the optimal solution to the objective function. To solve this problem, this article introduces distributed coordinators to calculate the desired outputs, and designs reference-tracking controllers for the agents to follow the desired o...
• Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming AI翻译
  作者：Fazlyab, Mahyar; Morari, Manfred; Pappas, George J.
  作者单位：University of Pennsylvania
  摘要：Certifying the safety or robustness of neural networks against input uncertainties and adversarial attacks is an emerging challenge in the area of safe machine learning and control. To provide such a guarantee, one must be able to bound the output of neural networks when their input changes within a bounded set. In this article, we propose a semidefinite programming (SDP) framework to address this problem for feed-forward neural networks with general activation functions and input uncertainty ...
• Adaptive Control of Multivariable Networked Systems With Uncertain Time Delays AI翻译
  作者：Steinberger, Martin; Horn, Martin; Ferrara, Antonella
  作者单位：Graz University of Technology; Graz University of Technology; University of Pavia
  摘要：A discrete-time adaptive control approach for uncertain linear multivariable networked systems is proposed. It is capable of dealing with unknown time delays introduced by a communication network between a plant and a controller. Based on the idea of model reference adaptive control, two adaptive laws are presented to reduce the conservativeness that is usually introduced when the time delays are unknown. The stability of the closed-loop system is proven. Simulation examples provide a comparis...
• Stochastic Adaptive Optimization With Dithers AI翻译
  作者：Xie, Siyu; Liang, Shu; Wang, Le Yi; Yin, George; Chen, Wen
  作者单位：Wayne State University; Tongji University; Tongji University; University of Connecticut; Wayne State University
  摘要：Optimization methods are essential and have been used extensively in a broad spectrum of applications. Most existing literature on optimization algorithms does not consider systems that involve unknown system parameters. This article studies a class of stochastic adaptive optimization problems in which identification of unknown parameters and search for the optimal solutions must be performed simultaneously. Due to a fundamental conflict between parameter identifiability and optimality in such...
• Ultimately Bounded Filtering Subject to Impulsive Measurement Outliers AI翻译
  作者：Zou, Lei; Wang, Zidong; Hu, Jun; Dong, Hongli
  作者单位：Brunel University; Harbin University of Science & Technology; Northeast Petroleum University; Northeast Petroleum University
  摘要：This article is concerned with the ultimately bounded filtering problem for a class of linear time-delay systems subject to norm-bounded disturbances and impulsive measurement outliers (IMOs). The considered IMOs are modeled by a sequence of impulsive signals with certain known minimum norm (i.e., the minimum of the norms of all impulsive signals). In order to characterize the occasional occurrence of IMOs, a sequence of independent and identically distributed random variables is introduced to...
• Distributed Nash Equilibrium Seeking Under Input Dead Zone AI翻译
  作者：Shao, Guangru; Wang, Rui; Ye, Maojiao; Wang, Xue-Fang
  作者单位：Yantai University; Dalian University of Technology; Dalian University of Technology; Nanjing University of Science & Technology; Dalian University of Technology
  摘要：This article investigates the Nash equilibrium (NE) seeking problem for games in the presence of input dead-zone nonlinearity. The purpose of each player is to minimize its own cost function, which depends not only on its own decision variable, but also on decision variables of the other players. To obtain an NE, a novel two-time-scale distributed algorithm is designed. This new strategy consists of two parts: one is the fast compensating dynamics, which can rapidly compensate the effect of in...
• Connectivity Preserving Formation Stabilization in an Obstacle-Cluttered Environment in the Presence of Time-Varying Communication Delays AI翻译
  作者：Loizou, Savvas G.; Lui, Dario Giuseppe; Petrillo, Alberto; Santini, Stefania
  作者单位：Cyprus University of Technology; University of Naples Federico II
  摘要：This technical article addresses the formation stabilization problem for multiagent systems (MASs) composed of dynamical agents moving within an obstacle-cluttered environment and sharing information via nonideal wireless communication networks. A novel distributed cooperative navigation function based control strategy is proposed, which drives the MAS to a desired formation without any collision while counteracting the presence of unavoidable communication impairments originated by the wirele...
• Stabilization of Discrete-Time Multiplicative-Noise System Under Decentralized Controllers AI翻译
  作者：Xu, Juanjuan; Wang, Wei; Zhang, Huanshui
  作者单位：Shandong University; Shandong University of Science & Technology
  摘要：In this article, we study the mean-square stabilization of discrete-time multiplicative-noise stochastic systems under decentralized controllers. Two controllers are involved in the system where each controller has access to different information and one information set is contained by another one. The adopted information structure is adapted open-loop. The main contribution of the article is twofold. On one hand, we give the unique explicit solution of the finite-horizon optimization problem ...