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作者：Alamir, Mazen
作者单位：Communaute Universite Grenoble Alpes; Institut National Polytechnique de Grenoble; Universite Grenoble Alpes (UGA); Centre National de la Recherche Scientifique (CNRS)
摘要：This article addresses the observability analysis and the optimal design of observation parameters in the presence of noisy measurements and parametric uncertainties. The notion of almost epsilon-observability is introduced and a systematic procedure to assess its satisfaction for a given system with a priori known measurement noise statistics and parameter discrepancy is sketched. Moreover, the concept of observation-target quantities is introduced to analyze the precision with which specific...
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作者：Care, Algo; Campi, Marco Claudio; Weyer, Erik
作者单位：University of Brescia; University of Melbourne
摘要：In many dynamical state estimation problems, not all the values that the state can take have the same importance; hence, missing to deliver an appropriate estimate has more severe consequences for certain state values than for others. In many applications, such important state values correspond to events that have low a priori probability to happen (e.g., unsafe situations or conditions that one tries to avoid by design). Provably, Kalman filtering techniques are inadequate to correctly estima...
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作者：Chen, Xudong
作者单位：University of Colorado System; University of Colorado Boulder
摘要：The article introduces and solves a structural controllability problem for continuum ensembles of linear time-invariant systems. All the individual linear systems of an ensemble are sparse, governed by the same sparsity pattern. Controllability of an ensemble system is, by convention, the capability of using a common control input to simultaneously steer every individual systems in it. A sparsity pattern is structurally controllable if it admits a controllable linear ensemble system. A main co...
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作者：Cisneros-Velarde, Pedro; Jafarpour, Saber; Bullo, Francesco
作者单位：University of California System; University of California Santa Barbara
摘要：In this article, we provide an overarching analysis of primal-dual dynamics associated with linear equality-constrained optimization problems using contraction analysis. For the well-known standard version of the problem, we establish convergence under convexity and the contracting rate under strong convexity. Then, for a canonical distributed optimization problem, we use partial contractivity to establish global exponential convergence of its primal-dual dynamics. As an application, we propos...
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作者：Mosalli, Hesamoddin; Babazadeh, Maryam
作者单位：Sharif University of Technology
摘要：This article presents a new optimization-based approach to determine the class of stabilizing control structures with the necessary set of feedback links for interconnected systems. The proposed approach relies on a graph-theoretic interpretation and its equivalence in terms of binary linear programs (BLPs). To carry out the primary goal, first, the stabilizability of a linear time-invariant (LTI) system under the decentralized control structure is presented in terms of a BLP. Next, two graph-...
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作者：Kirchhoff, Jonas
作者单位：Technische Universitat Ilmenau
摘要：The new concept of relative generic subsets is introduced. It is shown that the set of controllable linear finite-dimensional port-Hamiltonian systems is a relative generic subset of the set of all linear finite-dimensional port-Hamiltonian systems. This implies that a random, continuously distributed port-Hamiltonian system is almost surely controllable.
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作者：Liu, Wanchun; Quevedo, E. Daniel; Li, Yonghui; Johansson, Karl Henrik; Vucetic, Branka
作者单位：University of Sydney; Queensland University of Technology (QUT); Royal Institute of Technology
摘要：We consider a fundamental remote state estimation problem of discrete-time linear time-invariant (LTI) systems. A smart sensor forwards its local state estimate to a remote estimator over a time-correlated multistate Markov fading channel, where the packet drop probability is time-varying and depends on the current fading channel state. We establish a necessary and sufficient condition for mean-square stability of the remote estimation error covariance in terms of the state transition matrix o...
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作者：Artola, Marc; Wynn, Andrew; Palacios, Rafael
作者单位：Imperial College London
摘要：In this article a novel nonlinear model predictive control (NMPC) scheme is derived, which is tailored to the underlying structure of the intrinsic description of geometrically exact nonlinear beams (in which velocities and strains are primary variables). This is an important class of partial differential equation (PDE) models whose behavior is fundamental to the performance of flexible structural systems (e.g., wind turbines, high-altitude long-endurance aircraft). Furthermore, this class con...
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作者：Ding, Chao; Wei, Ruixuan
作者单位：Air Force Engineering University; Air Force Engineering University
摘要：This article proposes a low-complexity control design for a class of nonlinear systems in p-normal form whose control directions are completely unknown. The novel contributions, as opposed to the state-of-the-art, of this study lie in the following twofold: to relax the conditional inequality regarding the derivative of Lyapunov function, a novel Nussbaum function with changing frequency is constructed, based on which an improved Nussbaum gain technical lemma is first designed such that closed...
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作者：Medvedev, Alexander V.; Bro, Viktor; Ushirobira, Rosane
作者单位：Uppsala University; Centre National de la Recherche Scientifique (CNRS); CNRS - Institute for Information Sciences & Technologies (INS2I); Universite de Lille; Centrale Lille; Inria
摘要：This article provides the formulas connecting the Laguerre spectrum of the output signal of a linear discrete-time time-invariant delay system to the Laguerre spectrum of its input signal. The Laguerre-domain system representation is meaningful when the input signal is square summable, and the system is stable. A certain type of polynomials arising in the evaluation of the output spectrum due to the presence of time delay is defined, and key properties of these are investigated. The polynomial...
