IEEE Transactions on Automatic Control

最新文章

• Fully Distributed Consensus of Multiple Euler–Lagrange Systems Under Switching Directed Graphs Using Only Position Measurements AI翻译
  作者：Meng, Xiangzheng; Mei, Jie; Miao, Zibo; Wu, Aiguo; Ma, Guangfu
  作者单位：Harbin Institute of Technology; Harbin Institute of Technology
  摘要：In this note, the distributed leaderless consensus problem of multiple Euler-Lagrange systems under switching directed graphs using only position measurements is investigated. We adopt a model reference adaptive consensus strategy to assign each agent a reference to track, which transforms the consensus problem into a trajectory tracking problem. Due to the absence of velocity information, a velocity filter and a third-order linear reference model are designed for each agent. The proposed cons...
• Stable Linear System Identification With Prior Knowledge by Riemannian Sequential Quadratic Optimization AI翻译
  作者：Obara, Mitsuaki; Sato, Kazuhiro; Sakamoto, Hiroki; Okuno, Takayuki; Takeda, Akiko
  作者单位：University of Tokyo; Seikei University; RIKEN
  摘要：We consider an identification method for a linear continuous time-invariant autonomous system from noisy state observations. In particular, we focus on the identification to satisfy the asymptotic stability of the system with some prior knowledge. To this end, we propose to model this identification problem as a Riemannian nonlinear optimization (RNLO) problem, where the stability is ensured through a certain Riemannian manifold and the prior knowledge is expressed as nonlinear constraints def...
• Efficient Identification of Error-in-Variables Switched Systems Using a Riemannian Embedding AI翻译
  作者：Sznaier, Mario; Zhang, Xikang; Camps, Octavia
  作者单位：Northeastern University; Microsoft
  摘要：This article considers the problem of error in variables identification for switched affine models. Since it is well known that this problem is generically NP-hard, several relaxations have been proposed in the literature. However, while these approaches work well for low-dimensional systems with few subsystems, they scale poorly with both the number of subsystems and their memory. To address this difficulty, we propose a computationally efficient alternative, based on embedding the data in th...
• A Distributionally Robust Optimization Approach to Two-Sided Chance-Constrained Stochastic Model Predictive Control With Unknown Noise Distribution AI翻译
  作者：Tan, Yuan; Yang, Jun; Chen, Wen-Hua; Li, Shihua
  作者单位：Southeast University - China; Loughborough University
  摘要：In this work, we propose a distributionally robust stochastic model predictive control (DR-SMPC) algorithm to address the problem of multiple two-sided chance constrained discrete-time linear systems corrupted by additive noise. The prevalent mechanism to cope with two-sided chance constraints is the so-called risk allocation approach, which conservatively approximates the two-sided chance constraints with two single chance constraints by applying Bool's inequality. In this proposed DR-SMPC fr...
• Robust Synergistic Hybrid Feedback AI翻译
  作者：Casau, Pedro; Sanfelice, Ricardo G.; Silvestre, Carlos
  作者单位：Universidade de Aveiro; Universidade de Aveiro; University of California System; University of California Santa Cruz; University of Macau; Universidade de Lisboa
  摘要：Synergistic hybrid feedback refers to a collection of feedback laws that allow for the global asymptotic stabilization of a compact set through the following switching logic: given a collection of Lyapunov functions that are indexed by a logic variable, whenever the currently selected Lyapunov function exceeds the value of another function in the collection by a given margin, then a switch to the corresponding feedback law is triggered. This kind of feedback has been under development over the...
• Distributed Interval Observer and Distributed Unknown Input Observer Designs AI翻译
  作者：Zhu, Fanglai; Li, Mingwei
  作者单位：Tongji University
  摘要：Recently, distributed observer designs have been investigated intensively, but the distributed unknown input observer (DUIO) which can offer the asymptotic convergent estimations of both the states and the unknown inputs (UIs) has not been developed yet. In this article, we come up with a novel DUIO design method through a distributed interval observer (DIO) for a system with UI, and each sensor with measurement noise. First, by introducing an auxiliary output, the local system is transformed ...
• Interval Observation and Control for Continuous-Time Persidskii Systems AI翻译
  作者：Efimov, Denis; Polyakov, Andrey; Ping, Xubin
  作者单位：Inria; Universite de Lille; Centre National de la Recherche Scientifique (CNRS); Xidian University
  摘要：The problems of interval estimation and stabilization are studied for a class of generalized Persidskii systems. For this class of models with nonlinearities satisfying the incremental passivity property, the nonnegativity conditions are proposed and a nonlinear interval observer is synthesized. A nonlinear feedback is designed that uses the interval estimates. The conditions of stability of estimation and regulation errors are formulated using linear matrix inequalities. The efficiency of the...
• Stability Analysis of a Discrete-Time Limit Cycle Model Predictive Controller AI翻译
  作者：Cateriano Yanez, Carlos; Pangalos, Georg; Lichtenberg, Gerwald; Sanchis Saez, Javier
  作者单位：Hochschule Angewandte Wissenschaft Hamburg; Universitat Politecnica de Valencia; Hochschule Angewandte Wissenschaft Hamburg; University of Valencia
  摘要：Recently, a novel discrete-time nonlinear limit cycle model predictive controller for harmonic compensation has been proposed. Its compensating action is achieved by using the dynamics of a supercritical Neimark-Sacker bifurcation normal form at the core of its cost function. This work aims to extend this approach's applicability by analyzing its stability. This is accomplished by identifying the normal form's region of attraction and final set, which enables the use of LaSalle's invariance pr...
• On Robust Stability of Uncertain Control Systems With Time Delay: An Approach Based on the Overlap of Value Sets AI翻译
  作者：Ghorbani, Majid; Tepljakov, Aleksei; Petlenkov, Eduard
  作者单位：Tallinn University of Technology
  摘要：This study provides some methods to analyze robust stabilizability of uncertain plants with an uncertain time delay using arbitrary linear controllers. In this work, an uncertain plant with an uncertain time delay means that the numerator and denominator coefficients and the time delay term of the transfer function of the plant have interval uncertainties. Towards solving the abovementioned problem, first, robust stability is investigated for the closed-loop system in terms of a general class ...
• Probabilistic Contraction Analysis of Iterated Random Operators AI翻译
  作者：Gupta, Abhishek; Jain, Rahul; Glynn, Peter
  作者单位：University System of Ohio; Ohio State University; University of Southern California; University of Southern California; Stanford University; Stanford University
  摘要：In many branches of engineering, Banach contraction mapping theorem is employed to establish the convergence of certain deterministic algorithms. Randomized versions of these algorithms have been developed that have proved useful in data-driven problems. In a class of randomized algorithms, in each iteration, the contraction map is approximated with an operator that uses independent and identically distributed samples of certain random variables. This leads to iterated random operators acting ...