IEEE Transactions on Automatic Control

最新文章

• Distributed Optimal Secondary Frequency Control in Power Networks With Delay Independent Stability AI翻译
  作者：Li, Mengmou; Watson, Jeremy; Lestas, Ioannis
  作者单位：University of Cambridge
  摘要：Distributed secondary frequency control for power systems, is a problem that has been extensively studied in the literature, and one of its key features is that an additional communication network is required to achieve optimal power allocation. Therefore, being able to provide stability guarantees in the presence of communication delays is an important requirement. Primal-dual and distributed averaging proportional-integral (DAPI) protocols, respectively, are two main control schemes that hav...
• Sliding-Mode Control for Sampled-Data Systems Over Fading Channels: Dealing With Randomly Switching Sampling Periods AI翻译
  作者：Cao, Zhiru; Wang, Zidong; Song, Jun; Niu, Yugang
  作者单位：Shanghai University; Brunel University; Anhui University; Anhui University; East China University of Science & Technology
  摘要：This article investigates the sampled-data sliding-mode control (SMC) problem for a class of uncertain systems with matched disturbances, where the sampling period switches among several different values in a random way and the system state is transmitted to the controller via a fading wireless channel. By applying the coordinate transformation and the input delay techniques, the underlying system with randomly switching sampling period is converted into a certain reduced-order system involvin...
• Scale-Free Noncollaborative Linear Protocol Design for a Class of Homogeneous Multi-Agent Systems AI翻译
  作者：Liu, Zhenwei; Saberi, Ali; Stoorvogel, Anton
  作者单位：Northeastern University - China; Washington State University; University of Twente
  摘要：In this article, we have focused on identifying a class of continuous- and discrete-time multi-agent systems for which a scale-free noncollaborative (i.e., scale-free fully distributed) linear protocol design is developed. We have identified conditions on agent models that enable us to design scalable linear protocols. Moreover, we show that these conditions are necessary if the agents are single input and single output. We also provide a complete design of scalable protocols for this class.
• Integrated Adaptive Control and Reference Governors for Constrained Systems With State-Dependent Uncertainties AI翻译
  作者：Zhao, Pan; Kolmanovsky, Ilya; Hovakimyan, Naira
  作者单位：University of Alabama System; University of Alabama Tuscaloosa; University of Michigan System; University of Michigan; University of Illinois System; University of Illinois Urbana-Champaign
  摘要：This article presents an adaptive reference governor (RG) framework for a linear system with matched nonlinear uncertainties that can depend on both time and states, subject to both state and input constraints. The proposed framework leverages an L-1 adaptive controller ( L-1 AC) that compensates for the uncertainties, and provides guaranteed transient performance in terms of uniform bounds on the error between actual states and inputs and those of a nominal (i.e., uncertainty-free) system. Th...
• On the Arithmetic and Geometric Fusion of Beliefs for Distributed Inference AI翻译
  作者：Kayaalp, Mert; Inan, Yunus; Telatar, Emre; Sayed, Ali H.
  作者单位：Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne
  摘要：We study the asymptotic learning rates of belief vectors in a distributed hypothesis testing problem under linear and log-linear combination rules. We show that under both combination strategies, agents are able to learn the truth exponentially fast, with a faster rate under log-linear fusion. We examine the gap between the rates in terms of network connectivity and information diversity. We also provide closed-form expressions for special cases involving federated architectures and exchangeab...
• On Robust Observer Design for a Class of Time-Varying Continuous-Time and Discrete-Time Persidskii Systems AI翻译
  作者：Khalin, Anatolii; Efimov, Denis; Ushirobira, Rosane
  作者单位：Universite de Lille; Centre National de la Recherche Scientifique (CNRS); Inria
  摘要：This article considers the state estimation problem for a class of nonautonomous nonlinear systems. We propose conditions on the existence and stability of a nonlinear observer based on the invariant manifold approach in both continuous- and discrete-time scenarios. The requirements are formulated using linear matrix equalities (LME) and inequalities (LMI). We present two possible applications of the result, a reduced-order observer (e.g., an observer for unmeasured states) and regression in l...
• On Approximation of System Behavior From Large Noisy Data Using Statistical Properties of Measurement Noise AI翻译
  作者：Yan, Yitao; Bao, Jie; Huang, Biao
  作者单位：University of New South Wales Sydney; University of Alberta
  摘要：This article develops a method to determine an approximate behavior of a given linear time-invariant dynamical system from noise-corrupted data, which can be used for both data-driven simulation and predictive control using the behavioral systems theory. The system input and output are assumed to be measured subject to additive zero-mean white noise with known covariance. From the measured big data set, an approximated representation of the true behavior of the system is constructed using the ...
• Learning of Linear Dynamical Systems as a Noncommutative Polynomial Optimization Problem AI翻译
  作者：Zhou, Quan; Marecek, Jakub
  作者单位：Imperial College London; Czech Technical University Prague
  摘要：There has been much recent progress in time series forecasting and estimation of system matrices of linear dynamical systems. We present an approach to both problems based on an asymptotically convergent hierarchy of convexifications of a certain nonconvex operator-valued problem, which is known as noncommutative polynomial optimization problem. We present promising computational results, including a comparison with methods implemented in MATLAB System Identification Toolbox.
• Data-Driven Computational Methods for the Domain of Attraction and Zubov's Equation AI翻译
  作者：Kang, Wei; Sun, Kai; Xu, Liang
  作者单位：United States Department of Defense; United States Navy; Naval Postgraduate School; University of California System; University of California Santa Cruz; University of Tennessee System; University of Tennessee Knoxville; United States Department of Defense; United States Navy; United States Naval Research Laboratory
  摘要：This article deals with a special type of Lyapunov functions, namely the solution of Zubov's equation.Such a function can be used to characterize the exact boundary of the domain of attraction for systems of ordinary differential equations. In Theorem 2, we derive and prove an integral form solution to Zubov's equation. For numerical computation, we develop two data-driven methods. One is based on the integration of an augmented system of differential equations; and the other one is based on d...
• Sliding-Mode-Based Output-Feedback Control of Multivariable Systems via Youla Parameterization AI翻译
  作者：Seeber, Richard; Koch, Stefan; Horn, Martin
  作者单位：Graz University of Technology
  摘要：A nonlinear multivariable control scheme for linear time-invariant plants is presented that is capable of rejecting unmatched disturbances that are sufficiently often differentiable. It is based on the Youla parameterization in state space. Robust exact sliding-mode differentiators are employed for the realization of improper Youla parameters. Implementation complexity is optimized by minimizing the total number of required differentiator states. The resulting closed loop is shown to be input-...