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作者:Maity, Dipankar; Tsiotras, Panagiotis
作者单位:University of North Carolina; University of North Carolina Charlotte; University System of Georgia; Georgia Institute of Technology
摘要:In this article, we consider optimal controller synthesis of a quantized-feedback linear-quadratic-Gaussian (QF-LQG) system, where the measurements are to be quantized before being transmitted to the controller. The system is presented with several choices of quantizers, along with the cost of operating each quantizer. The objective is to jointly select the quantizers and the controller that would maintain an optimal balance between the control performance and quantization cost. Under certain ...
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作者:Serry, Mohamed; Reissig, Gunther
作者单位:University of Waterloo; Bundeswehr University Munich
摘要:We present a method to overapproximate reachable tubes over compact time intervals for linear continuous-time time-varying control systems, whose initial states and inputs are subject to compact convex uncertainty. The method uses numerical approximations of transition matrices, is convergent of first order, and assumes the ability to compute with compact convex sets in finite dimension. We also present a variant that applies to the case of zonotopic uncertainties, uses only linear algebraic o...
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作者:Guo, Yuqian; Li, Zhitao; Liu, Yang; Gui, Weihua
作者单位:Central South University; Zhejiang Normal University
摘要:Discrete-time probabilistic logic networks (DT-PLNs), of which probabilistic Boolean networks (PBNs) are a special type, are an important qualitative model for gene regulatory networks (GRNs). Although a DT-PLN can predict the long-term behavior of a GRN, using it to describe the transient kinetics at the microtimescale level remains inconvenient. In this article, we investigate the problems associated with the stability and stabilization of continuous-time probabilistic logic networks (CT-PLN...
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作者:Kulikov, Gennady Yu; Kulikova, Maria, V
作者单位:Universidade de Lisboa
摘要:This article aims at presenting novel square-root un-scented Kalman filters (UKFs) for treating various continuous-discrete nonlinear stochastic systems, including target tracking scenarios. These new methods are grounded in the commonly used singular value decomposition (SVD), that is, they propagate not the covariance matrix itself but its SVD factors instead. The SVD based on orthogonal transforms is applicable to any UKF with only nonnegative weights, whereas the remaining ones, which can ...
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作者:Deutscher, Joachim
作者单位:Ulm University
摘要:This article considers the robust cooperative output regulation for a network of parabolic PDE systems. The solution to this problem is obtained by extending the cooperative internal model principle from finite to infinite dimensions. For a time-invariant digraph describing the communication topology, a two-step backstepping approach is presented to systematically design cooperative state feedback regulators. This allows to solve both the leader-follower and the leaderless output synchronizati...
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作者:Park, Seong-Jin; Cho, Kwang-Hyun
作者单位:Ajou University; Korea Advanced Institute of Science & Technology (KAIST)
摘要:This article proposes a formal framework based on discrete event systems in order to analyze the democratic progress and regression in a society controlled by networked agents. For this purpose, we construct a simple model using a finite state automaton that describes the dynamic behavior of progress and regression in a democracy. We represent a network of agents as a directed graph where each agent has its own objective. Each agent may be a citizen or a group of people sharing a common object...
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作者:Hao, Liangliang; Xu, Yunjian; Tong, Lang
作者单位:Chinese University of Hong Kong; Cornell University
摘要:We study the deadline scheduling problem for multiple deferrable jobs that arrive in a random manner and are to be processed before individual deadlines. The processing of the jobs is subject to a time-varying limit on the total processing rate at each stage. We formulate the scheduling problem as a restless multiarmed bandit problem. Relaxing the scheduling problem into multiple independent single-arm scheduling problems, we define the Lagrangian priority value as the greatest tax under which...
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作者:Chen, Gang; Yang, Qing; Song, Yongduan; Lewis, Frank L.
作者单位:Chongqing University; University of Texas System; University of Texas Arlington
摘要:This article studies the distributed convex optimization problem with a common decision variable, a global inequality constraint, and local constraint sets over a time-varying multiagent network, the objective function of which is a sum of agents' local convex cost functions. To solve such problem, a penalty-based distributed continuous-time subgradient algorithm with time-varying gain is developed for each agent to seek the saddle point of the penalty Lagrangian function. It is shown that an ...
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作者:Barratt, Shane; Boyd, Stephen
作者单位:Stanford University
摘要:An extended quadratic function is a quadratic function plus the indicator function of an affine set, i.e., a quadratic function with embedded linear equality constraints. In this article, we show that, under some technical conditions, random convex extended quadratic functions are closed under addition, composition with an affine function, expectation, and partial minimization, i.e., minimizing over some of its arguments. These properties imply that dynamic programming can be tractably carried...
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作者:Ringh, Axel; Karlsson, Johan; Lindquist, Anders
作者单位:Hong Kong University of Science & Technology; Royal Institute of Technology; Shanghai Jiao Tong University; Royal Institute of Technology
摘要:Unlike the situation with gain and phase margins in robust stabilization, the problem to determine an exact maximum delay margin is still an open problem, although extensive work has been done to establish upper and lower bounds. The problem is that the corresponding constraints in the Nyquist plot are frequency dependent, and encircling the point s = -1 has to be done at sufficiently low frequencies, as the possibility to do so closes at higher frequencies. In this article, we present a new m...