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作者：Farina, Francesco; Notarstefano, Giuseppe
作者单位：GlaxoSmithKline; Glaxosmithkline United Kingdom; University of Bologna
摘要：In this article, we introduce a class of novel distributed algorithms for solving stochastic big-data convex optimization problems over directed graphs. In the addressed set-up, the dimension of the decision variable can be extremely high and the objective function can be nonsmooth. The general algorithm consists of two main steps: a consensus step and an update on a single block of the optimization variable, which is then broadcast to neighbors. Three special instances of the proposed method,...
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作者：Liu, Yang; Wang, Zidong; Zhou, Donghua
作者单位：Shandong University of Science & Technology; Brunel University; Tsinghua University
摘要：This article is concerned with the resilient fault diagnosis (FD) problem for a class of complex networks subject to possible loss of the actuator effectiveness and random variation of the filter gain. An unknown diagonal matrix is employed to characterize the multiplicative loss of actuator effectiveness for each node. The proposed filter utilizes the information from only the local node and the neighboring nodes. Since there is no need to have a center node receiving global information from ...
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作者：Ma, Dan; Chen, Jianqi; Lu, Renquan; Chen, Jie; Chai, Tianyou
作者单位：Northeastern University - China; Northeastern University - China; City University of Hong Kong; Guangdong University of Technology; Guangdong University of Technology
摘要：In this article, we study robust consensus problems for continuous-time first-order multiagent systems (MASs) with time delays. We assume that the agents input is subject to an uncertain constant delay, which may arise due to interagent communication or additionally, also by self-delay in the agent dynamics. We consider dynamic feedback control protocol in the form of proportional and derivative (PD) control, and seek to determine the delay consensus margin (DCM) achievable by PD feedback prot...
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作者：Jiang, Yan; Pates, Richard; Mallada, Enrique
作者单位：Johns Hopkins University; Lund University
摘要：A widely embraced approach to mitigate the dynamic degradation in low-inertia power systems is to mimic generation response using grid-connected inverters to restore the stiffness of the grid. In this article, we seek to challenge this approach and advocate for a principled design based on a systematic analysis of the performance trade-offs of inverter-based frequency control. With this aim, we perform a qualitative and quantitative study comparing the effect of conventional control strategies...
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作者：Strijbosch, Nard; Dullerud, Geir E.; Teel, Andrew R.; Heemels, W. P. M. H.
作者单位：Eindhoven University of Technology; University of Illinois System; University of Illinois Urbana-Champaign; University of California System; University of California Santa Barbara
摘要：We analyze the stability, and L-2-gain properties of a class of hybrid systems that exhibit time-varying linear flow dynamics, periodic time-triggered jumps, and arbitrary nonlinear jump maps. This class of hybrid systems encompasses periodic event-triggered control, self-triggered control, and networked control systems including time-varying communication delays. New notions on the stability, and contractivity (L-2-gain strictly smaller than 1) from the beginning of the flow, and from the end...
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作者：Takai, Shigemasa
作者单位：University of Osaka
摘要：In this article, we consider the problem of synthesizing a nondeterministic supervisor for the plant and the specification modeled as nondeterministic automata. A similarity control problem requires us to synthesize a supervisor such that the supervised plant is simulated by the specification. Ideally, the synthesized supervisor should be as permissive as possible. We develop a method for synthesizing a maximally permissive supervisor that solves the similarity control problem.
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作者：O'Brien, Joseph D.; Burke, Mark E.; Burke, Kevin
作者单位：University of Limerick
摘要：We present a generalization of the simultaneous long-short (SLS) trading strategy described in recent control literature wherein we allow for different parameters across the short and long sides of the controller; we refer to this new strategy as generalized SLS (GSLS). Furthermore, we investigate the conditions under which positive gain can be assured within the GSLS setup for both deterministic stock price evolution and geometric Brownian motion. In contrast to existing literature in this ar...
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作者：Cao, Xuanyu; Liu, K. J. Ray
作者单位：University of Illinois System; University of Illinois Urbana-Champaign; University System of Maryland; University of Maryland College Park
摘要：In this article, we examine a novel generic network cost minimization problem, in which every node has a local decision vector to optimize. Each node incurs a cost associated with its decision vector, while each link incurs a cost related to the decision vectors of its two end nodes. All nodes collaborate to minimize the overall network cost. The formulated network cost minimization problem has broad applications in distributed signal processing and control, in which the notion of link costs o...
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作者：Koehler, Johannes; Soloperto, Raffaele; Mueller, Matthias A.; Allgoewer, Frank
作者单位：University of Stuttgart; Leibniz University Hannover
摘要：In this article, we present a nonlinear robust model predictive control (MPC) framework for general (state and input dependent) disturbances. This approach uses an online constructed tube in order to tighten the nominal (state and input) constraints. To facilitate an efficient online implementation, the shape of the tube is based on an offline computed incremental Lyapunov function with a corresponding (nonlinear) incrementally stabilizing feedback. Crucially, the online optimization only impl...
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作者：Aguiar, Marco Aurelio; Camponogara, Eduardo; Foss, Bjarne
作者单位：Universidade Federal de Santa Catarina (UFSC); Norwegian University of Science & Technology (NTNU)
摘要：This article proposes a relax-and-discretize approach for optimal control of continuous-time differential algebraic systems. It works by relaxing the algebraic equations and penalizing the violation into the objective function using the augmented Lagrangian, which converts the original problem into a sequence of optimal control problems (OCPs) of ordinary differential equations (ODEs). The relax-and-discretize approach brings about flexibility, by allowing the OCPs of ODEs to be solved by the ...
