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作者：Battilotti, Stefano; Cacace, Filippo; Califano, Claudia; d'Angelo, Massimiliano
作者单位：Sapienza University Rome; University Campus Bio-Medico - Rome Italy
摘要：In this article, we study the leader-following problem for linear stochastic multiagent systems with uniform and constant communication delays on directed or undirected graphs. We consider both the state feedback and output feedback solutions. In the latter case, the agents can be a set of heterogeneous linear systems. By resorting to a new approach based on the scalar Lambert equation, we obtain a constructive design with less conservative closed-form delay bounds. In particular, it is possib...
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作者：Cyrus, Saman; Lessard, Laurent
作者单位：Northeastern University
摘要：Classical sufficient conditions for ensuring the robust stability of a dynamical system in feedback with a nonlinearity include passivity, small gain, circle, and conicity theorems. In this article, we present a generalized version of these results for arbitrary semi-inner product spaces. Our result is purely algebraic, and holds even when the conventional discrete or continuous-time causal dynamical systems are replaced by general nonlinear relations, where there need not exist a notion of ti...
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作者：Lin, Feng; Wang, Le Yi; Yin, George; Polis, Michael P.; Chen, Wen
作者单位：Wayne State University; University of Connecticut; Oakland University; Wayne State University
摘要：In this article, we model a hybrid system by using a hybrid machine consisting of an automaton and a set of continuous-variable subsystems. We investigate the problem of determining the (current) discrete state of the hybrid system. Extending the terminologies in discrete-event systems, a hybrid system is detectable if its discrete state can be uniquely determined. We derive conditions for a hybrid system to be detectable. If a hybrid system is detectable, we determine its current discrete sta...
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作者：Chen, Can
作者单位：University of Michigan System; University of Michigan; Harvard University; Harvard University Medical Affiliates; Brigham & Women's Hospital; Harvard University; Harvard Medical School
摘要：In this article, we provide a system-theoretic treatment of certain continuous-time homogeneous polynomial dynamical systems (HPDS) via tensor algebra. In particular, if a system of homogeneous polynomial differential equations can be represented by an orthogonally decomposable (odeco) tensor, we can construct its explicit solution by exploiting tensor Z-eigenvalues and Z-eigenvectors. We refer to such HPDS as odeco HPDS. By utilizing the form of the explicit solution, we are able to discuss t...
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作者：Shen, Mouquan; Zhang, Tu; Park, Ju H.; Wang, Qing-Guo; Li, Li-Wei
作者单位：Nanjing Tech University; Yeungnam University; Beijing Normal University; Beijing Normal-Hong Kong Baptist University
摘要：An iterative proportional-integral interval estimation strategy for linear discrete-time systems is investigated in this article. A sequence iterative proportional-integral observer is built on system output and unknown disturbance iterative estimation. With the help of a structure separation technique, a sufficient condition in terms of linear matrix inequality is proposed to make the observer error system be asymptotically stable. The boundary reachability of the observer error system is ana...
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作者：Sun, Shan; Xu, Jie; Ren, Wei
作者单位：University of California System; University of California Riverside
摘要：This article is devoted to the distributed continuous-time optimization problems with time-varying objective functions and time-varying constraints. Different from most studied distributed optimization problems with time-invariant objective functions and constraints, the optimal solutions in this article are time varying and form a trajectory. First, for the case where there exist only time-varying nonlinear inequality constraints, we present a distributed control algorithm that consists of a ...
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作者：Wildhagen, Stefan; Berberich, Julian; Hertneck, Michael; Allgoewer, Frank
作者单位：University of Stuttgart
摘要：This article is concerned with data-driven analysis of discrete-time systems under aperiodic sampling, and in particular with a data-driven estimation of the maximum sampling interval (MSI). The MSI is relevant for the analysis of and controller design for cyber-physical, embedded and networked systems, since it gives a limit on the time span between sampling instants such that stability is guaranteed. We propose tools to compute the MSI for a given controller and to design a controller with a...
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作者：Li, Zhongguo; Chen, Wen-Hua; Yang, Jun
作者单位：Loughborough University
摘要：A concurrent learning framework is developed for source search in an unknown environment using autonomous platforms equipped with onboard sensors. Distinct from the existing solutions that require significant computational power for Bayesian estimation and path planning, the proposed solution is computationally affordable for onboard processors. A new concept of concurrent learning using multiple parallel estimators is proposed to learn the operational environment and quantify estimation uncer...
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作者：Tsiamis, Anastasios; Pappas, George J.
作者单位：Swiss Federal Institutes of Technology Domain; ETH Zurich; University of Pennsylvania
摘要：In this article, we consider the problem of predicting observations generated online by an unknown, partially observable linear system, which is driven by Gaussian noise. In the linear Gaussian setting, the optimal predictor in the mean square error sense is the celebrated Kalman filter, which can be explicitly computed when the system model is known. When the system model is unknown, we have to learn how to predict observations online based on finite data, suffering possibly a nonzero regret ...
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作者：Zhu, Jingxuan; Liu, Ji
作者单位：State University of New York (SUNY) System; Stony Brook University; State University of New York (SUNY) System; Stony Brook University
摘要：This article studies a distributed multiarmed bandit problem with heterogeneous observations of rewards. The problem is cooperatively solved by N agents assuming each agent faces a common set of M arms yet observes only local biased rewards of the arms. The goal of each agent is to minimize the cumulative expected regret with respect to the true rewards of the arms, where the mean of each arm's true reward equals the average of the means of all agents' observed biased rewards. Each agent recur...
