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作者:Mei, Wenjie; Efimov, Denis; Ushirobira, Rosane
作者单位:Universite de Lille; Centre National de la Recherche Scientifique (CNRS); CNRS - Institute for Information Sciences & Technologies (INS2I); Inria; Centrale Lille; ITMO University
摘要:In this article, we study a class of generalized Persidskii systems with external disturbances and establish conditions, in the form of linear matrix inequalities, for input-to-output stability and robust synchronization for these systems. We apply the obtained results to the robust control design for synchronizing linear systems and to the synchronization of Hindmarsh-Rose models of neurons.
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作者:Skibik, Terrence; Liao-McPherson, Dominic; Cunis, Torbjorn; Kolmanovsky, Ilya; Nicotra, Marco M.
作者单位:University of Colorado System; University of Colorado Boulder; Swiss Federal Institutes of Technology Domain; ETH Zurich; University of Michigan System; University of Michigan; University of Stuttgart
摘要:This article proposes a method for enlarging the region of attraction of linear model predictive controllers (MPC) when tracking piecewise-constant references in the presence of pointwise-in-time constraints. It consists of an add-on unit, the feasibility governor (FG), that manipulates the reference command so as to ensure that the optimal control problem that underlies the MPC-feedback law remains feasible. Offline polyhedral projection algorithms based on multiobjective linear programming a...
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作者:Zheng, Tongjia; Han, Qing; Lin, Hai
作者单位:University of Notre Dame; University of Notre Dame
摘要:This article studies how to estimate the mean-field density of large-scale systems in a distributed manner. Such problems are motivated by the recent swarm control technique that uses mean-field approximations to represent the collective effect of the swarm, wherein the mean-field density (especially its gradient) is usually used in feedback control design. In the first part, we formulate the density estimation problem as a filtering problem of the associated mean-field partial differential eq...
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作者:Martinelli, Agostino
摘要:This article provides an extension of the observability rank condition to time-varying nonlinear systems. Previous conditions to check the state observability only hold for nonlinear systems that do not explicitly depend on time, or, for time-varying systems, they only account for the linear case. In this article, a general analytic condition is provided. The new condition reduces to the well-known observability rank condition in the two simpler cases of time-varying linear systems and time-in...
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作者:Chen, Hongwei; Wang, Zidong; Shen, Bo; Liang, Jinling
作者单位:Donghua University; Brunel University; Southeast University - China
摘要:This article investigates the model evaluation problem for the stochastic Boolean control networks (SBCNs). First, an algebraic expression of the SBCN is obtained based on the semitensor product method, and a straightforward approach is then proposed to compute the probability that the given observed output sequence is produced by the considered model. Second, two recursive algorithms, namely the forward and the backward algorithms, are designed for model evaluation by resorting to the forward...
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作者:Jin, Xin; Shi, Yang; Tang, Yang; Werner, Herbert; Kurths, Juergen
作者单位:East China University of Science & Technology; University of Victoria; Hamburg University of Technology; Potsdam Institut fur Klimafolgenforschung; Humboldt University of Berlin; Lobachevsky State University of Nizhni Novgorod
摘要:In this article, event-triggered attitude consensus is considered for multiagent systems with guaranteed fixed-time convergence. Due to the non-Euclidean property of the attitude configuration space, the attitude consensus is more challenging to achieve under the sampled-data setting. An event-triggered attitude consensus protocol and event-triggered condition are proposed based on the axis-angle attitude representation. The fixed-time attitude consensus is reached if the initial attitudes lie...
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作者:Ramaswamy, Arunselvan; Redder, Adrian; Quevedo, Daniel E.
作者单位:University of Paderborn; University of Paderborn; Queensland University of Technology (QUT)
摘要:Solving optimization problems in multiagent systems involves information exchange between agents. The obtained solutions should be robust to information delays and errors that arise from an unreliable wireless network, which typically connects the multiagent system. In today's large-scale dynamic Internet of Things style multiagent scenarios, the network topology changes and evolves over time. In this article, we present a simple distributed gradient-based optimization framework and an associa...
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作者:Wu, Chengshuai; Margaliot, Michael
作者单位:Tel Aviv University
摘要:A linear dynamical system is called k-positive if its dynamics maps the set of vectors with up to k - 1 sign variations to itself. For k = 1, this reduces to the important class of positive linear systems. Since stable positive linear time-invariant systems always admit a diagonal quadratic Lyapunov function, i.e., they are diagonally stable, we may expect that this holds also for stable kpositive systems. We show that, in general, this is not the case both in the continuous-time and discrete-...
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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...