IEEE Transactions on Automatic Control

最新文章

• Joint State Estimation and Noise Identification Based on Variational Optimization AI翻译
  作者：Lan, Hua; Zhao, Shijie; Hu, Jinjie; Wang, Zengfu; Fu, Jing
  作者单位：Northwestern Polytechnical University; Royal Melbourne Institute of Technology (RMIT)
  摘要：This article addresses state estimation problems with unknown process and measurement noise covariances in both linear and nonlinear systems. By formulating the joint estimation of system state and noise parameters into an optimization problem, a novel adaptive Kalman filter method based on conjugate-computation variational inference, referred to as CVIAKF, is proposed to approximate the joint posterior probability density function of the latent variables. Unlike existing adaptive Kalman filte...
• Discrete-Time Conewise Linear Systems With Finitely Many Switches AI翻译
  作者：Daafouz, Jamal; Loheac, Jerome; Morarescu, Irinel-Constantin; Postoyan, Romain
  作者单位：Universite de Lorraine; Centre National de la Recherche Scientifique (CNRS); Institut Universitaire de France
  摘要：In this article, we investigate discrete-time conewise linear systems (CLS) for which all the solutions exhibit a finite number of switches. By switches, we mean transitions of a solution from one cone to another. Our interest in this class of CLS comes from the optimization-based control of an insulin infusion model, for which the fact that solutions switch finitely many times appears to be key to establish the global exponential stability of the origin. The stability analysis of this class o...
• Coordinated Multiagent Patrolling With State-Dependent Cost Rates: Asymptotically Optimal Policies for Large-Scale Systems AI翻译
  作者：Fu, Jing; Wang, Zengfu; Chen, Jie
  作者单位：Royal Melbourne Institute of Technology (RMIT); Northwestern Polytechnical University; Northwestern Polytechnical University; City University of Hong Kong
  摘要：We study a large-scale patrol problem with state-dependent costs and multiagent coordination. We consider heterogeneous agents, rather general reward functions, and the capabilities of tracking agents' trajectories. We model the problem as a discrete-time Markov decision process consisting of parallel stochastic processes. The problem exhibits an excessively large state space, which increases exponentially in the number of agents and the size of patrol region. By randomizing all the action var...
• PI-Based Set-Point Learning Control for Batch Processes With Unknown Dynamics and Nonrepetitive Uncertainties AI翻译
  作者：Hao, Shoulin; Liu, Tao; Rogers, Eric; Wang, Youqing; Paszke, Wojciech
  作者单位：Dalian University of Technology; Dalian University of Technology; University of Southampton; Beijing University of Chemical Technology; University of Zielona Gora
  摘要：For industrial batch processes with unknown dynamics subject to nonrepetitive initial conditions and disturbances, this article develops a novel adaptive data-driven set-point learning control (ADDSPLC) scheme based on only the measured process input and output data, which has two loops, one for the dynamics within a batch and the other for the batch-to-batch dynamics. In the former case, a model-free tuning strategy is first presented for determining the closed-loop proportional-integral cont...
• Robust String Stabilization of Connected Vehicles With Jerk Feedforward AI翻译
  作者：Ma, Guoqi; Ge, Shuzhi Sam
  作者单位：Texas A&M University System; Texas A&M University College Station; National University of Singapore
  摘要：This article investigates the effect of communicated jerk on string stabilization of connected vehicles with uncertain parasitic actuation lags. First, by feeding forward the jerk of the preceding vehicle through vehicle-to-vehicle communication, a modified cooperative adaptive cruise control law is formulated. Second, the corresponding governing equation that characterizes the propagation of the intervehicular spacing errors along the stream is deduced. Based on the resultant intervehicular s...
• Robust Dynamic Corrective Consensus Over Lossy Networks With GilbertElliott Channels AI翻译
  作者：Manfredi, Sabato
  作者单位：University of Naples Federico II
  摘要：In this article, we propose a distributed algorithm to track the average of time-varying reference signals at nodes (i.e., dynamic average consensus) over networks with heterogeneous, asymmetric Gilbert-Elliott (GE) type lossy channels. The algorithm is robust to GE type network disruptions, (re)-initialization errors and agents joining, faulty or leaving the network during time. Necessary and sufficient conditions are formulated to assess almost sure and mean bounded dynamic average consensus...
• Temporal Parallelization of the HJB Equation and Continuous-Time Linear Quadratic Control AI翻译
  作者：Sarkka, Simo; Garcia-Fernandez, Angel F.
  作者单位：Aalto University; University of Liverpool
  摘要：This article presents a mathematical formulation to perform temporal parallelization of continuous-time optimal control problems, which can be solved via the Hamilton-Jacobi-Bellman (HJB) equation. We divide the time interval of the control problem into subintervals, and define a control problem in each subinterval, conditioned on the start and end states, leading to conditional value functions for the subintervals. By defining an associative operator as the minimization of the sum of conditio...
• Identifiability and Observability of Nonsmooth Systems via Taylor-Like Approximations AI翻译
  作者：Stechlinski, Peter; Eisa, Sameh A.; Abdelfattah, Hesham
  作者单位：University of Maine System; University of Maine Orono; University System of Ohio; University of Cincinnati; University System of Ohio; University of Cincinnati
  摘要：New sensitivity-based methods are developed for determining identifiability and observability of nonsmooth input-output systems. More specifically, lexicographic derivatives are used to construct nonsmooth sensitivity rank condition (SERC) tests, which we call lexicographic SERC (L-SERC) tests. The introduced L-SERC tests are practically implementable, accurate, and analogous to (and indeed recover) their smooth counterparts. To accomplish this, a novel first-order Taylor-like approximation th...
• k-Contraction in a Generalized Lurie System AI翻译
  作者：Ofir, Ron; Slotine, Jean-Jacques; Margaliot, Michael
  作者单位：Tel Aviv University; Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT); Tel Aviv University; Tel Aviv University; Sackler Faculty of Medicine
  摘要：We derive a sufficient condition for k-contraction in a generalized Lurie system (GLS), that is, the feedback connection of a nonlinear dynamical system and a memoryless nonlinear function. For k=1, this reduces to a sufficient condition for standard contraction. For k=2, this condition implies that every bounded solution of the GLS converges to an equilibrium, which is not necessarily unique. We demonstrate the theoretical results by analyzing k-contraction in a biochemical control circuit wi...
• A Unified Model for Large-Scale Inexact Fixed-Point Iteration: A Stochastic Optimization Perspective AI翻译
  作者：Hashemi, Abolfazl
  作者单位：Purdue University System; Purdue University
  摘要：Calculating fixed points of a nonlinear function is a central problem in many areas of science and engineering with applications ranging from the study of dynamical systems to optimization and game theory. Fixed-point iteration methods provide a simple way to calculate the fixed point of nonexpansive mappings and they have been studied extensively. Emerging applications, however, necessitate the study of fixed-point calculation under various perturbations. For instance, in the data-driven iden...