2023

最新文章

• Direct Data-Driven Control of Linear Time-Varying Systems AI翻译
  作者：Nortmann, Benita; Mylvaganam, Thulasi
  作者单位：Imperial College London; Imperial College London
  摘要：Considering discrete-time linear time-varying systems with unknown dynamics, controllers guaranteeing bounded closed-loop trajectories, optimal performance, and robustness to process and measurement noise are designed via convex feasibility and optimization problems involving purely data-dependent linear matrix inequalities. For the special case of periodically time-varying systems, infinite-horizon guarantees are achieved based on finite-length data sequences.
• Best Effort Workload Disparity Minimization in Multi-Agent Systems With Capacity Constraints AI翻译
  作者：Oliva, Gabriele; Charalambous, Themistoklis; Faramondi, Luca; Setola, Roberto; Gasparri, Andrea
  作者单位：University Campus Bio-Medico - Rome Italy; University of Cyprus; University Campus Bio-Medico - Rome Italy; Roma Tre University
  摘要：In this article, we propose a load balancing problem formulation where agents cooperate with the aim of simultaneously minimizing both the workload disparity among the agents and the overall workload transfer, under network capacity constraints. Notably, in our computational setting, the network is not just a device for the distributed solution of an optimization problem; on the contrary, the problem shares the same sparsity pattern as the network, and this aspect allows us to solve it without...
• Online Optimal State Feedback Control of Linear Systems Over Wireless MIMO Fading Channels AI翻译
  作者：Cai, Songfu; Lau, Vincent K. N.
  作者单位：Hong Kong University of Science & Technology
  摘要：In this article, we consider the optimal control of linear systems over wireless multiple-input multiple-output (MIMO) fading channels, where the wireless MIMO fading and random access of the remote controller may cause intermittent controllability or uncontrollability of the closed-loop control system. We consider the finite-time horizon optimal control first and then check the conditions for the existence and uniqueness of optimal control for the infinite-time horizon case. Specifically, for...
• Deception Attacks on Remote Estimation With Disclosure and Disruption Resources AI翻译
  作者：Li, Yuzhe; Yang, Yake; Zhao, Zhengen; Zhou, Jing; Quevedo, Daniel E.
  作者单位：Northeastern University - China; Nanjing University of Aeronautics & Astronautics; University of Alberta; Queensland University of Technology (QUT)
  摘要：The problem of deception attacks utilizing both disclosure and disruption resources in the multiple types of sensors setting against remote state estimation is investigated in this article. A group of sensors, including reliable and unreliable ones, measure system states and transmit innovations to a remote fusion center via wireless channels, wherein a malicious attacker can modify the data packets of unreliable sensors. By virtue of disclosure resources of reliable sensors and disruption res...
• Initial-Excitation-Based Robust Adaptive Observer for MIMO LTI Systems AI翻译
  作者：Katiyar, Atul; Roy, Sayan Basu; Bhasin, Shubhendu
  作者单位：Mahatma Jyotiba Phule Rohilkhand University; Indraprastha Institute of Information Technology Delhi; Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Delhi
  摘要：This article addresses the problem of adaptive observer design for multi-input multioutput linear time-invariant plants, under the effects of bounded disturbances in the system dynamics and the output, without requiring the persistence of excitation (PE) condition for parameter convergence. A switched robust adaptive observer is proposed, based on initial excitation, a milder condition as compared to PE in terms of excitation requirement and online verifiability. The unknown initial condition ...
• Symplectic Integration Schemes for Systems With Nonlinear Dissipation AI翻译
  作者：Limebeer, David J. N.; Farshi, Farhang Haddad; Ober-Blobaum, Sina
  作者单位：University of Witwatersrand; Autonomous University of Barcelona; University of Paderborn
  摘要：In previous work a variational integration scheme for mechanical systems containing linear dissipation was developed (Limebeer et al., 2020). The key idea is to use a transmission line as the solution to a power-balancing control problem-in the physics literature controllers of this type are known as heat baths. The power-balanced closed-loop system is thereby made amenable to analysis with Hamilton's principle. As a consequence, variational principles can be used to find symplectic integratio...
• On Semi-Global Exponential Stability Under Sampling for Locally Lipschitz Time-Delay Systems AI翻译
  作者：Di Ferdinando, Mario; Pepe, Pierdomenico; Gennaro, Stefano Di
  作者单位：University of L'Aquila
  摘要：In this article, the stability preservation problem for locally Lipschitz nonlinear time-delay systems, by emulation of continuous-time dynamic output feedback controllers, is studied. Sufficient Lyapunov-like conditions are provided such that, by suitably fast sampling, the Euler emulation of continuous-time dynamic output feedback controllers ensures the semiglobal exponential stability of the related sampled-data closed-loop system. If other emulation schemes than the Euler one are used, pr...
• Optimal Sensor Scheduling Under Intermittent Observations Subject to Network Dynamics AI翻译
  作者：Hmedi, Hassan; Carroll, Johnson; Arapostathis, Ari
  作者单位：University of Texas System; University of Texas Austin; University of Johannesburg
  摘要：Motivated by various distributed control applications, we consider a linear system with Gaussian noise observed by multiple sensors which transmit measurements over a dynamic lossy network. We characterize the stationary optimal sensor scheduling policy for the finite horizon, discounted, and long-term average cost problems and show that the value iteration algorithm converges to a solution of the average cost problem. We further show that the suboptimal policies provided by the rolling horizo...
• Event-Triggered Model Reference Adaptive Control for Linear Partially Time-Variant Continuous-Time Systems With Nonlinear Parametric Uncertainty AI翻译
  作者：Jiang, Yi; Shi, Dawei; Fan, Jialu; Chai, Tianyou; Chen, Tongwen
  作者单位：Northeastern University - China; Northeastern University - China; City University of Hong Kong; Beijing Institute of Technology; University of Alberta
  摘要：In this work, we develop an event-triggered adaptive control approach for solving the state tracking problem of linear partially time-variant continuous-time systems with the nonlinear state-dependent matched parametric uncertainty under unknown system dynamics. First, an event-triggered model reference adaptive controller is designed, which is composed of event-triggered adaptive laws based on the event-updated information and an event-triggering condition depending on the state tracking erro...
• Distributed Filtering Under Constrained Bit Rate Over Wireless Sensor Networks: Dealing With Bit Rate Allocation Protocol AI翻译
  作者：Li, Jun-Yi; Wang, Zidong; Lu, Renquan; Xu, Yong
  作者单位：Guangdong University of Technology; Guangdong University of Technology; Brunel University
  摘要：This article is concerned with the distributed filtering issue for linear discrete-time systems under bounded noises and constrained bit rate over wireless sensor networks. The communication between different sensor nodes is implemented via a wireless digital communication network with limited bandwidth. A bit rate constraint, which is subject to the so-called bandwidth allocation strategy, is placed to quantify the effect of the network bandwidth on the distributed filtering performance. An i...