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作者：Mi, Wen; Zheng, Wei Xing
作者单位：University of Electronic Science & Technology of China; Western Sydney University
摘要：In this article, we present two algorithms for identification of continuous-time linear time-invariant systems in frequency domain. These algorithms are constructed in terms of continuous rational orthogonal basis functions. First, a two-stage algorithm is developed through one-by-one selection of poles for the basis functions, and such consecutive selection is easy to realize. Next, a direct algorithm is proposed to select poles for the rational orthogonal basis functions. Different poles res...
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作者：Giuseppi, Alessandro; Pietrabissa, Antonio
作者单位：Sapienza University Rome
摘要：This article presents a multicommodity, discrete-time, distributed, and noncooperative routing algorithm, which is proved to converge to an equilibrium in the presence of heterogeneous, unknown, time-varying but bounded delays. Under mild assumptions on the latency functions, which describe the cost associated with the network paths, two algorithms are proposed: The former assumes that each commodity relies only on measurements of the latencies associated with its own paths; the latter assumes...
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作者：Ma, Hong-Jun; Yang, Guang-Hong; Chen, Tongwen
作者单位：Northeastern University; University of Alberta
摘要：This article studies an optimal dynamic formation problem for heterogeneous affine nonlinear systems. The nonidenticality in agents and the requirement for dynamic spatial reconfiguration make it a challenging task to coordinate different types of agents to maintain an optimized formation shape. In an architecture of event-triggered decision and control, this article investigates how to fulfill dynamic formation by distributively optimizing a team cost function. The basic idea is to design a d...
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作者：Pang, Bo; Jiang, Zhong-Ping
作者单位：New York University; New York University Tandon School of Engineering
摘要：This article studies the infinite-horizon adaptive optimal control of continuous-time linear periodic (CTLP) systems. A novel value iteration (VI) based off-policy adaptive dynamic programming (ADP) algorithm is proposed for a general class of CTLP systems, so that approximate optimal solutions can be obtained directly from the collected data, without the exact knowledge of system dynamics. Under mild conditions, the proofs on uniform convergence of the proposed algorithm to the optimal soluti...
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作者：Rojas, Alejandro J.
作者单位：Universidad de Concepcion
摘要：Explicit communication channels in the feedback loop introduce new key elements such as channel input power, channel variable gain, channel bandwidth, additive channel noise, transmission rate, quantization, packet losses, etc. In this article, we propose a stationary signal-to-noise ratio (SNR) analysis for the fading channel model. The channel SNR can be connected with most communication issues such as channel input power, additive channel noise, and quantization noise. Recently, a power ana...
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作者：Haidar, Ihab; Pepe, Pierdomenico
作者单位：University of L'Aquila
摘要：In this article, we characterize the global asymptotic and exponential stability of nonlinear switching retarded systems through direct and converse Lyapunov-Krasovskii theorems. Thanks to these theorems, a link between the exponential stability of an unforced switching retarded system and the input-to-state stability property is obtained. An example illustrating the applicability of our results is given.
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作者：Kawan, Christoph; Mironchenko, Andrii; Swikir, Abdalla; Noroozi, Navid; Zamani, Majid
作者单位：University of Munich; University of Passau; Technical University of Munich; University of Colorado System; University of Colorado Boulder; University of Munich
摘要：This article presents a small-gain theorem for networks composed of a countably infinite number of finite-dimensional subsystems. Assuming that each subsystem is exponentially input-to-state stable, we show that if the gain operator, collecting all the information about the internal Lyapunov gains, has a spectral radius less than one, the overall infinite network is exponentially input-to-state stable. The effectiveness of our result is illustrated through several examples including nonlinear ...
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作者：Lefebvre, Dimitri; Hadjicostis, Christoforos N.
作者单位：Universite Le Havre Normandie; University of Cyprus
摘要：Opacity is a security notion that focuses on determining whether a given system's behavior is kept secret to intruders. Various notions of opacity have received significant attention during the last decade including current state opacity and initial state opacity, which have been studied for deterministic and probabilistic systems in untimed contexts. In timed systems, opacity requirements may vary with time and one could also be interested in knowing the time duration for which opacity requir...
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作者：Li, Wuquan; Krstic, Miroslav
作者单位：Ludong University; University of California System; University of California San Diego
摘要：We present mean-nonovershooting tracking control designs for stochastic strict-feedback nonlinear systems. Compared with the existing stochastic nonlinear tracking designs, the advantage of our design is that arbitrary reference trajectories can be tracked from below. We first consider a special class of stochastic nonlinear systems where the diffusion terms satisfy the linear growth condition and the drift terms are in special triangular forms. A new controller is designed to guarantee that t...
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作者：Yue, Zuogong; Thunberg, Johan; Ljung, Lennart; Yuan, Ye; Goncalves, Jorge
作者单位：University of Luxembourg; Halmstad University; Linkoping University; Huazhong University of Science & Technology
摘要：Network reconstruction of dynamical continuous-time (CT) systems is motivated by applications in many fields. Due to experimental limitations, especially in biology, data can be sampled at low frequencies, leading to significant challenges in network inference. We introduce the concept of system aliasing and characterize the minimal sampling frequency that allows reconstruction of CT systems from low sampled data. A test criterion is also proposed to detect the presence of system aliasing. Wit...
