IEEE Transactions on Automatic Control

最新文章

• Distributed Average Tracking With Incomplete Measurement Under a Weight-Unbalanced Digraph AI翻译
  作者：Sen, Arijit; Sahoo, Soumya Ranjan; Kothari, Mangal
  作者单位：Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Kanpur; Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Kanpur
  摘要：During the implementation of a cooperative algorithm, information about the agents' velocity may be unavailable due to the space constraint and availability of sensors. Thus, it gives rise to the design of distributed average tracking (DAT) algorithms without using agents' velocity measurements. These are denoted as velocity-free DAT problems. The existing literature has addressed such problems in the presence of an undirected graph for the reference signals with bounded position, velocity, an...
• A Novel Fixed-Time Protocol for First-Order Consensus Tracking With Disturbance Rejection AI翻译
  作者：Xu, Yong; Yao, Zhaozhan; Lu, Renquan; Ghosh, Bijoy K.
  作者单位：Guangdong University of Technology; Texas Tech University System; Texas Tech University
  摘要：This technical note studies fixed-time consensus tracking with disturbance rejection for first-order multiagent systems. The communication topology among the leader and followers contains a directed spanning tree. The control input to the leader is time-varying and unknown to the followers, except that its upper bound is known a priori. A novel fixed-time protocol is devised based on discontinuous and nonlinear control. A fixed-time stability analysis for consensus tracking with disturbance re...
• An Interpolatory Algorithm for Distributed Set Membership Estimation in Asynchronous Networks AI翻译
  作者：Farina, Francesco; Garulli, Andrea; Giannitrapani, Antonio
  作者单位：University of Bologna; GlaxoSmithKline; Glaxosmithkline United Kingdom; University of Siena
  摘要：This article addresses distributed estimation problems over asynchronous networks in a set membership framework. The agents in the network asynchronously collect and process measurements, communicate over a possibly time-varying and unbalanced directed graph and may have nonnegligible computation times. Measurements are affected by bounded errors so that they define feasible sets containing the unknown parameters to be estimated. The proposed algorithm requires each agent to compute a weighted...
• Fault-Tolerant Coherent H∞ Control for Linear Quantum Systems AI翻译
  作者：Liu, Yanan; Dong, Daoyi; Petersen, Ian R.; Gao, Qing; Ding, Steven X.; Yokoyama, Shota; Yonezawa, Hidehiro
  作者单位：University of New South Wales Sydney; Okinawa Institute of Science & Technology Graduate University; University of Duisburg Essen; Australian National University; Beihang University; Beihang University
  摘要：Robustness and reliability are two key requirements for developing practical quantum control systems. The purpose of this article is to design a coherent feedback controller for a class of linear quantum systems suffering from Markovian jumping faults so that the closed-loop quantum system has both fault tolerance and H-infinity disturbance attenuation performance. This article first extends the physical realization conditions from the time-invariant case to the time-varying case for linear st...
• Lyapunov Function PDEs to the Stability of Some Complex Balancing Derivative and Compound Networks AI翻译
  作者：Lu, Yafei; Gao, Chuanhou; Dochain, Denis
  作者单位：Zhejiang University; Universite Catholique Louvain
  摘要：This article contributes to extending the validity of Lyapunov function partial differential equations (PDEs) whose solution is conjectured to be able to behave as a Lyapunov function in stability analysis to more mass-action chemical reaction networks. First, we have proved that the Lyapunov function PDEs method is valid in capturing the asymptotic stability of the networks compounded of a complex balanced network and any species-dependent two-species autocatalytic network if some moderate co...
• Strict Smooth Lyapunov Functions and Vaccination Control of the SIR Model Certified by ISS AI翻译
  作者：Ito, Hiroshi
  作者单位：Kyushu Institute of Technology
  摘要：This article addresses analysis and control of the SIR model of infectious diseases in the framework of input-to-state stability (ISS) with respect to the net flow of susceptible individuals into a region in both disease-free and epidemic situations. The key development is the construction of a continuously differentiable strict Lyapunov function. First, this article clarifies that a continuously differentiable Lyapunov function whose derivative is nonpositive can deduce asymptotic stability o...
• Distributed Kalman Filtering Through Trace Proximity AI翻译
  作者：Liu, Wei; Shi, Peng; Wang, Shuoyu
  作者单位：Zhejiang Gongshang University; Kochi University Technology; University of Adelaide; Kochi University Technology
  摘要：This article is concerned with the distributed Kalman filtering problem for discrete-time linear systems whose measurement information comes from a set of sensor nodes that can communicate with their direct neighbors. Two algorithms for distributed Kalman filtering are proposed, where the first algorithm is based on single-node measurement and the second algorithm is based on neighboring-node measurements. In order to improve the performance, a novel criterion is introduced to the algorithm de...
• Policy Gradient for Continuing Tasks in Discounted Markov Decision Processes AI翻译
  作者：Paternain, Santiago; Bazerque, Juan Andres; Ribeiro, Alejandro
  作者单位：Rensselaer Polytechnic Institute; Universidad de la Republica, Uruguay; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; University of Pennsylvania
  摘要：Reinforcement learning aims to find policies that maximize an expected cumulative reward in Markov decision processes with unknown transition probabilities. Policy gradient (PG)-algorithms use stochastic gradients of the value function to update the policy. A major drawback of PG-algorithms is that they are limited to episodic tasks (multiple finite-horizon trajectories) unless stringent stationarity assumptions are imposed on the trajectories. Hence, they need restarts and cannot be fully imp...
• Model-Predictive Control for Markovian Jump Systems Under Asynchronous Scenario: An Optimizing Prediction Dynamics Approach AI翻译
  作者：Zhang, Bin; Song, Yan
  作者单位：University of Shanghai for Science & Technology
  摘要：This article is concerned with the model-predictive control (MPC) problem based on optimizing prediction dynamics (OPD) for a class of discrete-time Markovian jump systems with polytopic uncertainties and hard constraints, where a hidden Markov model is constructed to tackle the asynchronous problem between the system modes and the controller modes. A new MPC strategy with OPD is put forward to achieve a nice tradeoff among the online computation burden, the initial feasible region, and the co...
• Stochastic Filtering Scheme of Implicit Forms of Uncertain Max-Plus Linear Systems AI翻译
  作者：Espindola-Winck, Guilherme; Hardouin, Laurent; Lhommeau, Mehdi; Santos-Mendes, Rafael
  作者单位：Universite d'Angers; Universidade Estadual de Campinas
  摘要：This article aims to improve the stochastic filtering algorithm with bounded disturbances, proposed in 1. This filter is efficient for max-plus linear systems in explicit form, i.e., the timed event graph (TEG) described by this system is initially with one token on each place. Nevertheless, it needs strong assumptions in order to be accurate for systems in implicit form, i.e., the corresponding TEG is initially with some token-free places which implies that some entries of the system state ve...