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作者：Habibi, Hamed; Fernando, Tyrone; Darouach, Mohamed
作者单位：University of Western Australia; Curtin University; Universite de Lorraine; Universite de Lorraine
摘要：In this article, a functional observer for continuous systems with sampled measurement is designed for a class of nonlinear systems, operating under unknown inputs, and the existence conditions are derived. The nonlinear function, as a function of full states, is decomposed to Lipschitz term and an unknown one. The stability and boundedness of the estimation dynamics are analyzed and accordingly, the design procedure is formulated as a linear matrix inequality problem. Moreover, the design alg...
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作者：Li, Nan; Zhang, Kaixiang; Li, Zhaojian; Srivastava, Vaibhav; Yin, Xiang
作者单位：Auburn University System; Auburn University; Michigan State University; Michigan State University; Shanghai Jiao Tong University; Shanghai Jiao Tong University
摘要：Cloud computing creates new possibilities for control applications by offering powerful computation and storage capabilities. In this article, we propose a novel cloud-assisted model predictive control (MPC) framework in which we systematically fuse a cloud MPC that leverages the computing power of the cloud to compute optimal control based on a high-fidelity nonlinear model (thus, more accurate) but is subject to communication delays with a local MPC that relies on simplified linear dynamics ...
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作者：Goel, Gautam; Hassibi, Babak
作者单位：California Institute of Technology; California Institute of Technology
摘要：We consider control from the perspective of competitive analysis. Unlike much prior work on learning-based control, which focuses on minimizing regret against the best controller selected in hindsight from some specific class, we focus on designing an online controller which competes against a clairvoyant offline optimal controller. A natural performance metric in this setting is competitive ratio, which is the ratio between the cost incurred by the online controller and the cost incurred by t...
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作者：Khan, Shiraz; Deshmukh, Raj; Hwang, Inseok
作者单位：Purdue University System; Purdue University
摘要：The use of wireless sensor networks for distributed state estimation has been a popular research topic in the signal processing community. However, there is a distinct lack of emphasis on formal derivation and optimality of distributed state estimation algorithms in the literature. Furthermore, many existing algorithms utilize unweighted average consensus filtering, which has been shown to lead to poor estimation performance in the presence of sensor agents that cannot make measurements due to...
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作者：Mu, Biqiang; Kong, He; Chen, Tianshi; Jiang, Bo; Wang, Lei; Wu, Junfeng
作者单位：Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Southern University of Science & Technology; The Chinese University of Hong Kong, Shenzhen; Shenzhen Research Institute of Big Data; The Chinese University of Hong Kong, Shenzhen; Nanjing Normal University; Zhejiang University
摘要：This article studies input design of kernel-based regularization methods for linear dynamical systems, which has been formulated as a nonconvex optimization problem with the criterion being a scalar measure of the posterior covariance of the Bayesian estimate, subject to a spherical constraint on the input. The nonconvex nature of such input design problems poses significant challenges in deriving optimality conditions and efficient numerical algorithms. In this work, we first derive a suffici...
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作者：Lu, An-Yang; Yang, Guang-Hong
作者单位：Northeastern University - China; Northeastern University - China
摘要：This article investigates the attack detection and identification problem for cyber-physical systems under sparse sensor attacks. A novel candidate set construction algorithm, where only partial combinations of different channels are checked, is proposed to efficiently generate the candidate set containing all the possible sets of corrupted channels under stealthy attacks. Besides, through introducing a unified attack model that precisely characterizes the attack performance and stealthiness, ...
