IEEE Transactions on Automatic Control

最新文章

• A Sparsity Approach to Scheduling and Control of Networked Systems AI翻译
  作者：Dasgupta, Anubhab; Kundu, Atreyee
  作者单位：Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Kharagpur; Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Kharagpur
  摘要：We study the co-design of scheduling logic and control logic for networked control systems (NCSs) where plants communicate with their remotely located controllers over a shared band-limited communication network. Our key contribution is a new algorithm that co-designs (a) an allocation scheme of the communication network among the plants (scheduling logic) and (b) the control inputs for the plants accessing the network (control logic) under which given nonzero initial states are steered to zer...
• Robust Data-Driven Predictive Control for Unknown Linear Systems With Bounded Disturbances AI翻译
  作者：Hu, Kaijian; Liu, Tao
  作者单位：University of Hong Kong; University of Hong Kong; The University of Hong Kong Shenzhen Institute of Research & Innovation
  摘要：This article presents a robust data-driven predictive control (RDPC) framework for linear time-invariant (LTI) systems affected by bounded disturbances and measurement noise. Unlike traditional model-based approaches, the proposed method relies solely on input-state-output (ISO) data without requiring prior system identification. Given that multiple systems can be consistent with the collected data due to disturbances and noise, a set of all possible systems using quadratic matrix inequalities...
• Accelerated Distributed Aggregative Optimization AI翻译
  作者：Liu, Jiaxu; Chen, Song; Cai, Shengze; Xu, Chao; Chu, Jian
  作者单位：Zhejiang University; Zhejiang University
  摘要：This article delves into the investigation of a distributed aggregative optimization problem within a network. In this scenario, each agent possesses its own local cost function, which relies not only on the local state variable but also on an aggregated function of state variables from all agents. To expedite the optimization process, we amalgamate the heavy ball and Nesterov's accelerated method with distributed aggregative gradient tracking, resulting in the proposal of two innovative algor...
• Cyclic Performance Monitoring-Based Fault-Tolerant Funnel Control of Unknown Nonlinear Systems With Actuator Failures AI翻译
  作者：Zhang, Jin-Xi; Ding, Jinliang; Chai, Tianyou
  作者单位：Northeastern University - China
  摘要：This article is concerned with the problem of fault detection, isolation, and compensation for the multiple-input single-output nonlinear systems in the face of actuator failures. It is focused on the cases of possibly simultaneous failures and unknown inherent nonlinear dynamics, which render the existing solutions infeasible. To conquer these challenges, a novel fault-tolerant funnel control approach based on cyclic performance monitoring and switching mode rearrangement is devised. It detec...
• Safe Guaranteed Exploration for Nonlinear Systems AI翻译
  作者：Prajapat, Manish; Kohler, Johannes; Turchetta, Matteo; Krause, Andreas; Zeilinger, Melanie N.
  作者单位：Swiss Federal Institutes of Technology Domain; ETH Zurich
  摘要：Safely exploring environments with a-priori unknown constraints is a fundamental challenge that restricts the autonomy of robots. While safety is paramount, guarantees on sufficient exploration are also crucial for ensuring autonomous task completion. To address these challenges, we propose a novel safe guaranteed exploration framework using optimal control, which achieves first-of-its-kind results: guaranteed exploration for nonlinear systems with finite-time sample complexity bounds, while b...
• On Distributed Prescribed-Time Unknown Input Observers AI翻译
  作者：Zhang, Jiancheng; Zhao, Xudong; Zheng, Gang; Zhu, Fanglai; Dinh, Thach Ngoc
  作者单位：Guangxi Minzu University; Guangxi Minzu University; Dalian University of Technology; Universite de Lille; Tongji University
  摘要：This article is concerned with the design of the distributed prescribed-time unknown input observer (DPTUIO) for a class of linear time-invariant systems, which we refer to as the target systems. Results on distributed unknown input observers in literature did not address the convergence time predefinition problem. To achieve fast estimation, this article uses weakly unobservable subspace decomposition and introduces a time-scale transformation technology to develop a novel DPTUIO. This design...
• Robust Stability and Stabilizability Conditions for Time-Delay Systems Under Stochastic Uncertainties AI翻译
  作者：Chen, Jianqi; Mao, Qi; Zhao, Di; Chen, Chao
  作者单位：Nanjing University; Nanjing Normal University; Tongji University; Tongji University; KU Leuven
  摘要：This study first explores the mean-square robust stability problem of stable continuous-time linear time-invariant systems subject to stochastic multiplicative uncertainties with prescribed variance bounds. The internal structures of uncertainties, however, are not presumed to cope with diverse random noises and errors arising from networked channels. A necessary and sufficient mean-square stability condition is obtained involving a novel small-gain type characterization. Next, we consider the...
• Exact Penalizations for Optimal Control Problems AI翻译
  作者：Grimaldi, Riccardo A.; Astolfi, Alessandro
  作者单位：University of Padua; Imperial College London; University of Rome Tor Vergata
  摘要：A novel technique to solve optimal control problems with state constraints is proposed. We exploit the theory of exact penalty functions, used in mathematical programming, to construct a systematic procedure to transform two classes of problems with state constraints to equivalent penalized unconstrained problems. We focus on a special class of systems with as many states as controls and subject to a set of equality constraints, which reduces the control authority, both in the case of linear a...
• Almost-Bayesian Quadratic Persuasion AI翻译
  作者：Massicot, Olivier; Langbort, Cedric
  作者单位：University of Illinois System; University of Illinois Urbana-Champaign
  摘要：In this article, we relax the Bayesianity assumption in the now-traditional model of Bayesian persuasion introduced by Kamenica and Gentzkow. Unlike preexisting approaches-which have tackled the possibility of the receiver (Bob) being non-Bayesian by considering that his thought process is not Bayesian yet known to the sender (Alice), possibly up to a parameter-we let Alice merely assume that Bob behaves almost like a Bayesian agent, in some sense, without resorting to any specific model. Unde...
• Meta-Learning Online Control for Linear Dynamical Systems AI翻译
  作者：Muthirayan, Deepan; Kalathil, Dileep; Khargonekar, Pramod P.
  作者单位：Texas A&M University System; Texas A&M University College Station
  摘要：In this article, we consider the problem of finding a meta-learning online control algorithm that can learn across the tasks when faced with a sequence of N (similar) control tasks. Each task involves controlling a linear dynamical system for a finite horizon of T time steps. The cost function and system noise at each time step are adversarial and unknown to the controller before taking the control action. Meta-learning is a broad approach where the goal is to prescribe an online policy for an...