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作者：Cianfanelli, Leonardo; Como, Giacomo; Ozdaglar, Asuman E.; Parise, Francesca
作者单位：Polytechnic University of Turin; Massachusetts Institute of Technology (MIT); Cornell University
摘要：We study a network design problem (NDP) where the planner aims at selecting the optimal single-link intervention on a transportation network to minimize the travel time under Wardrop equilibrium flows. Our first result is that, if the delay functions are affine and the support of the equilibrium is not modified with interventions, the NDP may be formulated in terms of electrical quantities computed on a related resistor network. In particular, we show that the travel time variation correspondi...
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作者：Koga, Shumon; Krstic, Miroslav
作者单位：University of California System; University of California San Diego; University of California System; University of California San Diego
摘要：High-relative-degree control barrier functions play a prominent role in automotive safety and in robotics. In this article, we launch a generalization of this concept for PDE control, treating a specific, physically relevant model of thermal dynamics where the boundary of the PDE moves due to a liquid-solid phase change-the so-called Stefan model. The familiar quadratic programming (QP) design is employed to ensure safety but with CBFs that are infinite-dimensional (including one control barri...
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作者：Sibai, Hussein; Mitra, Sayan
作者单位：Washington University (WUSTL); University of Illinois System; University of Illinois Urbana-Champaign
摘要：In this article, we extend the notion of estimation entropy of autonomous dynamical systems proposed by Liberzon and Mitra to nonlinear dynamical systems with uncertain inputs with bounded variation. We call this new notion the epsilon-estimation entropy of the system and show that it lower bounds the bit rate needed for state estimation. epsilon-estimation entropy represents the exponential rate of the increase of the minimal number of functions that are adequate for epsilon-approximating any...
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作者：Wetzlinger, Mark; Kochdumper, Niklas; Bak, Stanley; Althoff, Matthias
作者单位：Technical University of Munich; State University of New York (SUNY) System; Stony Brook University
摘要：Reachability analysis is a formal method to guarantee safety of dynamical systems under the influence of uncertainties. A substantial bottleneck of all reachability algorithms is the necessity to adequately tune specific algorithm parameters, such as the time step size, which requires expert knowledge. In this work, we solve this issue with a fully automated reachability algorithm that tunes all algorithm parameters internally such that the reachable set enclosure respects a user-defined appro...
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作者：Bouvier, Jean-Baptiste; Xu, Kathleen; Ornik, Melkior
作者单位：University of Illinois System; University of Illinois Urbana-Champaign; Massachusetts Institute of Technology (MIT)
摘要：When failure is not an option, systems are designed to be resistant to various malfunctions, such as a loss of control authority over actuators. This malfunction consists in some actuators producing uncontrolled and, thus, possibly undesirable inputs with their full actuation range. After such a malfunction, a system is deemed resilient if its target is still reachable despite these undesirable inputs. However, the malfunctioning system might be significantly slower to reach its target compare...
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作者：Mathias, Joel; Meyn, Sean; Moye, Robert; Warrington, Joseph
作者单位：Arizona State University; Arizona State University-Tempe; State University System of Florida; University of Florida; AstraZeneca
摘要：It is now well established that many electric loads are inherently flexible, and this flexibility can be harnessed to provide grid services identical to those obtained today through batteries and responsive generators. This article concerns the resource allocation problem associated with control of a large collection of heterogeneous loads. This problem is posed as a finite-horizon optimal control problem, in which the cost function reflects both the needs of the grid and the needs of the user...
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作者：Perrusquia, Adolfo; Guo, Weisi
作者单位：Cranfield University
摘要：The design of adequate countermeasures against drone's threats needs accurate trajectory estimation to avoid economic damage to the aerospace industry and national infrastructure. As trajectory estimation algorithms need highly accurate physics informed models or offline learning algorithms, radical innovation in online trajectory inference is required. In this article, a novel drone's physics informed trajectory inference algorithm is proposed. The algorithm constructs a physic informed model...
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作者：Timoudas, Thomas Ohlson; Zhang, Silun; Magnusson, Sindri; Fischione, Carlo
作者单位：RISE Research Institutes of Sweden; Massachusetts Institute of Technology (MIT); Stockholm University; Royal Institute of Technology
摘要：Emerging applications in the Internet of Things (IoT) and edge computing/learning have sparked massive renewed interest in developing distributed versions of existing (centralized) iterative algorithms often used for optimization or machine learning purposes. While existing work in the literature exhibits similarities, for the tasks of both algorithm design and theoretical analysis, there is still no unified method or framework for accomplishing these tasks. This article develops such a genera...
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作者：Yang, Rongni; Zheng, Wei Xing
作者单位：Shandong University; Western Sydney University
摘要：This article focuses on dissipativity analysis and dissipativity-based sliding mode control (SMC) of discrete-time two-dimensional (2-D) systems described by Roesser model. First, dissipativity is introduced for 2-D systems. Aimed at the characteristics of Roesser model, the horizontal and vertical sliding surface functions are constructed for the addressed 2-D systems, respectively. Then, sufficient conditions are proposed to guarantee the asymptotic stability and the prespecified dissipativi...
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作者：Zhu, Lijun; Chen, Zhiyong
作者单位：Huazhong University of Science & Technology; Huazhong University of Science & Technology; University of Newcastle
摘要：In this article, we propose a novel sampling control framework based on the emulation technique where the sampling error is regarded as an auxiliary input to the emulated system. Utilizing the supremum norm of sampling error, the design of periodic sampling and event-triggered control law renders the error dynamics bounded-input-bounded-state, and when it is coupled with system dynamics, achieves global or semiglobal stabilization. The proposed framework is then extended to tackle the stabiliz...
