IEEE Transactions on Automatic Control

最新文章

• Observer-Based Decentralized Predictor Control for Large-Scale Interconnected Systems With Large Delays AI翻译
  作者：Zhu, Yang; Fridman, Emilia
  作者单位：Zhejiang University; Tel Aviv University
  摘要：This article proposes a decentralized predictor-based output feedback to compensate for large delays in large-scale interconnected systems under the premise that the interconnections between subsystems are not strong. The full state of each subsystem is assumed to be unmeasurable and the observer-based output feedback is employed. Two methods are used to tackle the large delays: the backstepping-based partial differential equation (PDE) approach and the reduction-based ordinary differential eq...
• Isochronous Partitions for Region-Based Self-Triggered Control AI翻译
  作者：Delimpaltadakis, Giannis; Mazo, Manuel, Jr.
  作者单位：Delft University of Technology
  摘要：In this article, we propose a region-based self-triggered control (STC) scheme for nonlinear systems. The state space is partitioned into a finite number of regions, each of which is associated to a uniform interevent time. The controller, at each sampling time instant, checks to which region does the current state belong, and correspondingly decides the next sampling time instant. To derive the regions along with their corresponding interevent times, we use approximations of isochronous manif...
• Consensus of Continuous-Time Multiagent Systems via Delayed Output Feedback: Delay Versus Connectivity AI翻译
  作者：Qi, Tian; Lu, Renquan; Chen, Jie
  作者单位：South China University of Technology; Guangdong University of Technology; Guangdong University of Technology; City University of Hong Kong
  摘要：This article studies the consensus problem for continuous-time linear time-invariant multiagent systems, in which the agents exchange information through delayed communication channels in a fixed undirected topology. Our primary objective is to characterize explicitly the delay effect on consensus in the framework of distributed dynamic output feedback control and its implication on the graph network connectivity. For this purpose, we tackle and solve the consensus problem in the spirit of gai...
• Strategy Synthesis for POMDPs in Robot Planning via Game-Based Abstractions AI翻译
  作者：Winterer, Leonore; Junges, Sebastian; Wimmer, Ralf; Jansen, Nils; Topcu, Ufuk; Katoen, Joost-Pieter; Becker, Bernd
  作者单位：University of Freiburg; University of California System; University of California Berkeley; University of Freiburg; Radboud University Nijmegen; University of Texas System; University of Texas Austin; RWTH Aachen University
  摘要：We study synthesis problems with constraints in partially observable Markov decision processes (POMDPs), where the objective is to compute a strategy for an agent that is guaranteed to satisfy certain safety and performance specifications. Verification and strategy synthesis for POMDPs are, however, computationally intractable in general. We alleviate this difficulty by focusing on planning applications and exploiting typical structural properties of such scenarios; for instance, we assume tha...
• Asymptotical Stability of Logic Dynamical Systems With Random Impulsive Disturbances AI翻译
  作者：Guo, Yuqian; Shen, Yawen; Gui, Weihua
  作者单位：Central South University
  摘要：This article presents an investigation of the asymptotical set stability (ASS) of logic dynamical systems (LDSs) with impulsive disturbances at random instants. Unlike ordinary probabilistic Boolean networks, such an impulsive LDS is not Markovian in general. In this article, an impulsive LDS is described by using a hybrid index model and the sequence of intervals between adjacent impulsive instants is assumed to be independent and identically distributed. Under this assumption, the subsequenc...
• A Note on the Numerical Solutions of Kernel-Based Learning Problems AI翻译
  作者：Scandella, Matteo; Mazzoleni, Mirko; Formentin, Simone; Previdi, Fabio
  作者单位：University of Bergamo; Polytechnic University of Milan
  摘要：In the last decade, kernel-based learning approaches typically employed for classification and regression have shown outstanding performance also in dynamic system identification. The typical way to compute the solution of this learning problem subsumes the inversion of the kernel matrix. However, due to limited machine precision, this might not be possible in many practical applications. In this article, we analyze the aforementioned problem and show that the typical estimate is just one of t...
• Approximate Supermodularity of Kalman Filter Sensor Selection AI翻译
  作者：Chamon, Luiz F. O.; Pappas, George J.; Ribeiro, Alejandro
  作者单位：University of Pennsylvania
  摘要：This article considers the problem of selecting sensors in a large-scale system to minimize the error in estimating its states, more specifically, the state estimation mean-square error (MSE) and worst-case error for Kalman filtering and smoothing. Such selection problems are in general NP-hard, i.e., their solution can only be approximated in practice even for moderately large problems. Due to its low complexity and iterative nature, greedy algorithms are often used to obtain these approximat...
• Homothetic Tube-Based Robust Economic MPC With Integrated Moving Horizon Estimation AI翻译
  作者：Dong, Zihang; Angeli, David
  作者单位：Imperial College London; University of Florence
  摘要：This article considers homothetic tube-based economic model predictive control synthesis for constrained linear discrete-time systems. Since, in practical systems, full-state measurement is seldom available, the proposed method integrates a moving horizon estimator to achieve closed-loop stability and constraint satisfaction despite system disturbances and output measurement noise. In contrast to existing approaches, the worst cost within a single homothetic tube around the solution of the ass...
• Networked Control Under DoS Attacks: Tradeoffs Between Resilience and Data Rate AI翻译
  作者：Feng, Shuai; Cetinkaya, Ahmet; Ishii, Hideaki; Tesi, Pietro; De Persis, Claudio
  作者单位：Institute of Science Tokyo; Tokyo Institute of Technology; Research Organization of Information & Systems (ROIS); National Institute of Informatics (NII) - Japan; University of Florence; University of Groningen
  摘要：In this article, we study communication-constrained networked control problems for linear time-invariant systems in the presence of Denial-of-Service (DoS) attacks, namely attacks that prevent transmissions over the communication network. Our article aims at exploring the tradeoffs between system resilience and network bandwidth capacity. Given a class of DoS attacks, we characterize the bit-rate conditions that are dependent on the unstable eigenvalues of the dynamic matrix of the plant and t...
• Backward Reachability for Polynomial Systems on a Finite Horizon AI翻译
  作者：Yin, He; Arcak, Murat; Packard, Andrew; Seiler, Peter
  作者单位：University of California System; University of California Berkeley; University of Michigan System; University of Michigan
  摘要：A method is presented to obtain an inner-approximation of the backward reachable set of a given target tube, along with an admissible controller that maintains trajectories inside this tube. The proposed optimization algorithms are formulated as nonlinear optimization problems, which are decoupled into tractable subproblems and solved by an iterative algorithm using the polynomial S-procedure and sum-of-squares techniques. This framework is also extended to uncertain nonlinear systems with L-2...