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作者:Zhu, Bin; Zorzi, Mattia
作者单位:Sun Yat Sen University; University of Padua
摘要:In this article, we consider the problem of estimating the generalized cepstral coefficients of a stationary stochastic process or stationary multidimensional random field. It turns out that a naive version of the periodogram-based estimator for the generalized cepstral coefficients is not consistent. We propose a consistent estimator for those coefficients. Moreover, we show that the latter can be used in order to build a consistent estimator for a particular class of cascade linear stochasti...
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作者:Rotithor, Ghananeel; Taplin, Tyler; Dani, Ashwin P.; Dixon, Warren E.
作者单位:University of Connecticut; State University System of Florida; University of Florida
摘要:This article addresses the stability of switching between a uniformly ultimately bounded (UUB) system and an asymptotically stable system with asymptotically decaying perturbation using multiple Lyapunov functions. It is proven that the switched system trajectories remain UUB if an average dwell time condition is satisfied, and the perturbation terms are bounded with a sufficiently small magnitude. The developed switched system stability results are applied to the state estimation of the persp...
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作者:Xu, Zhilu; Yuan, Shuang; Yang, Xinsong; Zheng, Wei Xing
作者单位:Sichuan University; Sichuan University; Western Sydney University
摘要:This article considers the input-to-state stability (ISS) problem of nonlinear switched systems under stochastic switching governed by both transition probability and stochastic dwell time. A novel analysis framework of ISS with respect to switched systems is proposed in the sense of Lyapunov. It is shown that the stochastic switching exhibits a positive effect on the ISS issue, and uniform ISS can be achieved even though all subsystems are non-ISS. In addition, the proposed Lyapunov results a...
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作者:Zhong, Jie; Pan, Qinyao; Xu, Wenying; Chen, Bo
作者单位:Zhejiang Normal University; Southeast University - China; Zhejiang University of Technology
摘要:In this article, two pinning control (PC) schemes are proposed to achieve nonperiodical stable behaviors for asynchronous Boolean networks (BNs), from the aspects of state transition digraph (STG) and dependence digraph (DD). First, under the framework of algebraic state-space representation of asynchronous BNs, a nonuniform PC is proposed based on STG and feedback vertex set. The nonuniform pinning nodes (PNs) are determined under the transformation of certain columns of the state transition ...
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作者:Wang, Yuan; Liu, Yungang
作者单位:Shandong University
摘要:Currently, performance-guaranteed global controls, in the output-feedback context, basically need system nonlinearities (or growths) to be output dependent only. This is an essential constraint to the existing works, in which control design is on the premise that the nonlinearities can be implied bounded. Therein, the time-varying gains, which merged performance boundary and output, directly implied the boundedness of the output and in turn that of the output-dependent nonlinearities. This art...
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作者:Ye, Maojiao; Ding, Lei; Xu, Shengyuan; Shi, Jun
作者单位:Nanjing University of Science & Technology; Nanjing University of Posts & Telecommunications
摘要:In this article, a new regularized consensus perspective is presented for solving distributed optimization problems among a network of heterogeneous linear dynamic agents. The distributed optimization problem can be viewed as a consensus problem, in which the consensus direction should be regularized to optimize the sum of the agents' objective functions. Based on this idea, a regularized consensus mapping is defined, by which a continuous-time distributed optimization algorithm is established...
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作者:Carnevale, Guido; Fabiani, Filippo; Fele, Filiberto; Margellos, Kostas; Notarstefano, Giuseppe
作者单位:University of Bologna; IMT School for Advanced Studies Lucca; University of Sevilla; University of Oxford
摘要:We propose fully distributed algorithms for Nash equilibrium seeking in aggregative games over networks. We first consider the case where local constraints are present and we design an algorithm combining, for each agent, the projected pseudogradient descent and a tracking mechanism to locally reconstruct the aggregative variable. To handle coupling constraints arising in generalized settings, we propose another distributed algorithm based on a recently emerged augmented primal-dual scheme and...
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作者:Huang, Lingying; Wu, Junfeng; Shi, Dawei; Dey, Subhrakanti; Shi, Ling
作者单位:Hong Kong University of Science & Technology; The Chinese University of Hong Kong, Shenzhen; Beijing Institute of Technology; Uppsala University
摘要:Optimization with gradient tracking is particularly notable for its superior convergence results among the various distributed algorithms, especially in the context of directed graphs. However, privacy concerns arise when gradient information is transmitted directly which would induce more information leakage. Surprisingly, literature has not adequately addressed the associated privacy issues. In response to the gap, our article proposes a privacy-preserving distributed optimization algorithm ...
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作者:Liu, Jingmei; Xu, Juanjuan; Zhang, Huanshui; Fu, Minyue
作者单位:Shandong University; Linyi University; Shandong University of Science & Technology
摘要:In this article, we consider the discrete-time stochastic linear quadratic (LQ) optimal control with both initial and terminal constraints. The main contribution includes two aspects: one is to provide a necessary and sufficient condition for the exact reachability of stochastic systems; the other is to characterize the solvability condition of the constrained stochastic LQ optimal control problem based on the exact reachability of the stochastic systems and obtain the explicitly optimal contr...
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作者:Jing, Zonglei; Li, Xiaoqian; Ju, Peijun; Zhang, Huanshui
作者单位:Taishan University; Shandong University of Science & Technology
摘要:This article considers the hierarchical decision problems with H(infinity )constraint, where the proposed feedback Stackelberg strategy incorporates a two-level control progress. The leader first announces his action at the beginning of the game and anticipates the follower's optimal response; the follower chooses a response to optimize his/her cost function with the information of the leader's action. The optimal action of the leader, coupled with the rational response of the follower, forms ...