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作者：Kang, Yunyi; Mathesen, Logan; Pedrielli, Giulia; Ju, Feng; Lee, Loo Hay
作者单位：Arizona State University; Arizona State University-Tempe; National University of Singapore
摘要：Recent advances in sensing, data analytics, and manufacturing technologies (e.g., 3-D printing, soft robotics, nanotechnologies, etc.) provide the potential to produce highly customized products by allowing flexible system design, endless device configurations, and unprecedented information flows. These opportunities also increase the complexity of controlling such systems optimally, which typically requires fast exploration of an increasingly large number of alternative operation strategies. ...
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作者：Rubagotti, Matteo; Incremona, Gian Paolo; Raimondo, Davide M.; Ferrara, Antonella
作者单位：Nazarbayev University; Polytechnic University of Milan; University of Pavia
摘要：In this article, a discrete-time sliding mode control law is proposed for nonlinear (possibly multiinput) systems, in the presence of mixed input-state constraints and additive bounded disturbances. The control law is defined by formulating a nonlinear predictive control problem aimed at generating a control input that imitates an unconstrained discrete-time sliding mode law. In addition to satisfying input and state constraints, the resulting control law has all the properties of discrete-tim...
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作者：Ha, Seung-Yeal; Kim, Doheon; Schloder, Franz Wilhelm
作者单位：Seoul National University (SNU); Seoul National University (SNU); Korea Institute for Advanced Study (KIAS); University of Milano-Bicocca
摘要：In this article, we present a new Cucker-Smale model on smooth Riemannian manifolds using the concepts of covariant derivative and parallel transport, and we also study its emergent dynamics under an a priori assumption on the energy functional. For Euclidean space, our proposed model coincides with the original Cucker-Smale model. As concrete examples, we consider three Riemannian manifolds: the unit 2-sphere, the unit circle, and the Poincare half-plane, and provide explicit reductions from ...
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作者：Li, Kuo; Hua, Chang-Chun; You, Xiu; Guan, Xin-Ping
作者单位：Yanshan University; Shanxi University; Shanghai Jiao Tong University
摘要：This article addresses the leader-following consensus problem for multiagent systems with unknown output measurement sensitivity based on a fixed directed topology. Different from the existing works on the consensus problem, the output measurement sensitivity is described as a total unknown parameter. Under this nonideal condition, we put forward a distributed output-feedback consensus control algorithm for the first time. To start with, we design the novel distributed high-gain observer and a...
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作者：Firoozi, Dena; Caines, Peter E.
作者单位：Universite de Montreal; HEC Montreal; McGill University; McGill University
摘要：Partially observed major-minor nonlinear and linear quadratic Gaussian (PO MM LQG) mean field game (MFG) systems where the major agent's state is partially observed by each minor agent, and the major agent completely observes its own state have been analyzed in the literature. In this article, PO MM LQG MFG problems with general information patterns are studied where the major agent has partial observations of its own state, and each minor agent has partial observations of its own state and th...
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作者：Wu, Shuang; Ren, Xiaoqiang; Hong, Yiguang; Shi, Ling
作者单位：Hong Kong University of Science & Technology; Shanghai University; Chinese Academy of Sciences
摘要：We consider the design of a fair sensor schedule for a number of sensors monitoring different linear time-invariant processes. The largest average remote estimation error among all processes is to be minimized. We first consider a general setup for the max-min fair allocation problem. By reformulating the problem as its equivalent form, we transform the fair resource allocation problem into a zero-sum game between a judge and a resource allocator. We propose an equilibrium seeking procedure an...
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作者：Nozari, Erfan; Cortes, Jorge
作者单位：University of Pennsylvania; University of California System; University of California San Diego
摘要：Goal-driven selective attention (GDSA) is a remarkable function that allows the complex dynamical networks of the brain to support coherent perception and cognition. Part I of this two-part article proposes a new control-theoretic framework, termed hierarchical selective recruitment (HSR), to rigorously explain the emergence of GDSA from the brain's network structure and dynamics. This part completes the development of HSR by deriving conditions on the joint structure of the hierarchical subne...
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作者：Yu, Huan; Diagne, Mamadou; Zhang, Liguo; Krstic, Miroslav
作者单位：University of California System; University of California San Diego; Rensselaer Polytechnic Institute; Beijing University of Technology
摘要：We develop backstepping state feedback control to stabilize a moving shockwave in a freeway segment under bilateral boundary actuations of traffic flow. A moving shockwave, consisting of light traffic upstream of the shockwave and heavy traffic downstream, is usually caused by changes of local road situations. The density discontinuity travels upstream and drivers caught in the shockwave experience transitions from free to congested traffic. Boundary control design in this article brings the s...
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作者：Dimovska, Mihaela; Materassi, Donatello
作者单位：University of Minnesota System; University of Minnesota Twin Cities
摘要：Reconstructing the causal structure of a network of dynamic systems from observational data is an important problem in many areas of science. One of the earliest and most prominent approaches to this problem is Granger causality. It has been shown that in a network with linear dynamics and strictly causal transfer functions, Granger causality consistently reconstructs the underlying graph of the network. On the other hand, techniques that allow for the presence of direct feedthroughs usually a...
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作者：Ma, Ke; Kumar, P. R.
作者单位：United States Department of Energy (DOE); Pacific Northwest National Laboratory; Texas A&M University System; Texas A&M University College Station
摘要：The classic Vickrey-Clarke-Groves (VCG) mechanism ensures incentive compatibility, i.e., truth-telling is a dominant strategy for all agents, for a static one-shot game. However, it does not appear to be feasible to construct mechanisms that ensure dominance of dynamic truth-telling for agents comprised of general stochastic dynamic systems. The agents' intertemporal net utilities depend on future controls and payments, and a direct extension of the VCG mechanism does not guarantee incentive c...
