8期

最新文章

• Provably Robust Verification of Dissipativity Properties from Data AI翻译
  作者：Koch, Anne; Berberich, Julian; Allgoewer, Frank
  作者单位：University of Stuttgart
  摘要：Dissipativity properties have proven to be very valuable for systems analysis and controller design. With the rising amount of available data, there has, therefore, been an increasing interest in determining dissipativity properties from (measured) trajectories directly, while an explicit model of the system remains undisclosed. Most existing approaches for data-driven dissipativity, however, guarantee the dissipativity condition only over a finite-time horizon and provide weak or no guarantee...
• Noisy-Output-Based Direct Learning Tracking Control With Markov Nonuniform Trial Lengths Using Adaptive Gains AI翻译
  作者：Shen, Dong; Saab, Samer S.
  作者单位：Renmin University of China; Lebanese American University
  摘要：In this article, a noisy-output-based direct learning tracking control is proposed for stochastic linear systems with nonuniform trial lengths. The iteration-varying trial length is modeled using a Markov chain for demonstration of the iteration dependence. The effect of the noisy output is asymptotically eliminated using a prior given decreasing gain sequence in the learning algorithm. Two alternative adaptive gains are presented for improving the tracking performance and the convergence spee...
• 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...
• Toward a Convex Design Framework for Online Active Fault Diagnosis of LPV Systems AI翻译
  作者：Tan, Junbo; Olaru, Sorin; Xu, Feng; Wang, Xueqian
  作者单位：Tsinghua Shenzhen International Graduate School; Tsinghua University; Centre National de la Recherche Scientifique (CNRS); Universite Paris Saclay
  摘要：This article focuses on the design of online optimal input sequence for robust active fault diagnosis of discrete-time linear parameter-varying systems using set-theoretic methods. Instead of the traditional set-separation constraint conditions leading to the design of offline input sequence, the proposed approach focuses on online (re)shaping of the input sequence based on the real-time information of the output to discriminate system modes at each time instant such that the diagnosability of...
• A Second Order Primal-Dual Method for Nonsmooth Convex Composite Optimization AI翻译
  作者：Dhingra, Neil K.; Khong, Sei Zhen; Jovanovic, Mihailo R.
  作者单位：University of Southern California
  摘要：We develop a second order primal-dual method for optimization problems in which the objective function is given by the sum of a strongly convex twice differentiable term and a possibly nondifferentiable convex regularizer. After introducing an auxiliary variable, we utilize the proximal operator of the nonsmooth regularizer to transform the associated augmented Lagrangian into a function that is once, but not twice, continuously differentiable. The saddle point of this function corresponds to ...
• Optimal Consensus via OCPI Regulation for Unknown Pure-Feedback Agents With Disturbances and State Delays AI翻译
  作者：Gkesoulis, Athanasios K.; Psillakis, Haris E.; Lagos, Athanasios-Rafail
  作者单位：National Technical University of Athens
  摘要：In this article, we present a novel methodology to address the optimal output consensus problem for multiagent systems. We propose a distributed variable transformation that recasts the aforementioned problem into a simpler regulation problem of the new variables. The transformation requires only relative output measurements and is independent of any underlying agent dynamics and therefore applicable to a general class of systems. Classical control techniques, which take into account the agent...
• Necessary and Sufficient Conditions for Fault Diagnosability of Linear Open- and Closed-Loop Stochastic Systems Under Sensor and Actuator Faults AI翻译
  作者：Liu, Qinyuan; Wang, Zidong; Zhang, Junfeng; Zhou, Donghua
  作者单位：Tongji University; Shandong University of Science & Technology; Brunel University; Harvard University; Tsinghua University
  摘要：In this article, the diagnosability problem is investigated for open-loop and closed-loop stochastic systems under sensor and actuator faults. A novel quantitative fault diagnosability analysis method is developed to characterize the detectability and isolability for a given system without any predetermined fault diagnosis algorithm. By exploiting the Bhattacharyya distance, some novel indices are proposed to evaluate the difficulty degree of fault detectability and isolability. Necessary and ...
• Unfalsified Adaptive Control for Nonlinear Time-Varying Plants AI翻译
  作者：Patil, Sagar V.; Sung, Yu-Chen; Safonov, Michael G.
  作者单位：University of Southern California
  摘要：The Battistelli-Hespanha-Mosca-Tesi (BHMT) adaptive reset switching algorithm is enhanced to admit bumpless transfer and to control a nonlinear time-varying plant using the broad class of two-degree-of-freedom nonlinear time-varying controllers. Performance, including stability and exponential stability, is proved given only that the adaptive stabilization problem is lambda-feasible, which means at every time, there exists at least one exponentially stabilizing controller. We relax two restric...
• Distributed Global Optimization for a Class of Nonconvex Optimization With Coupled Constraints AI翻译
  作者：Ren, Xiaoxing; Li, Dewei; Xi, Yugeng; Shao, Haibin
  作者单位：Shanghai Jiao Tong University
  摘要：This article examines the distributed nonconvex optimization problem with structured nonconvex objective functions and coupled convex inequality constraints on static networks. A distributed continuous-time primal-dual algorithm is proposed to solve the problem. We use the canonical transformation and Lagrange multiplier method to reformulate the nonconvex optimization problem as a convex-concave saddle point computation problem, which is subsequently solved by employing the projected primal-d...
• Adaptive Event-Triggered Control of Uncertain Nonlinear Systems Using Intermittent Output Only AI翻译
  作者：Zhang, Zhirong; Wen, Changyun; Xing, Lantao; Song, Yongduan
  作者单位：Chongqing University; Chongqing University; Nanyang Technological University
  摘要：Although rich collection of research results on event-triggered control exist, no effort has ever been made in integrating state/output triggering and controller triggering simultaneously with backstepping control design. The primary objective of this article is, by using intermittent output signal only, to build a backstepping adaptive event-triggered feedback control for a class of uncertain nonlinear systems. To do so, we need to tackle three technical obstacles. First, the nature of the ev...