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作者：Deng, Zhenhua; Luo, Jin
作者单位：Central South University
摘要：This article investigates the constrained nonsmooth distributed optimization problems (DOPs) of general linear multiagent systems. Our problem involves the general linear dynamics of agents, and the cost functions are nondifferentiable. Moreover, the decisions of agents are constrained by both local and coupled inequalities. Without considering the general linear dynamics, the nonsmooth cost functions, and/or the inequality constraints, existing distributed algorithms are ineffective for our p...
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作者：Gao, Rui; Yang, Guang-Hong
作者单位：Northeastern University - China; Northeastern University - China; King Abdulaziz University
摘要：This article studies the distributed secure state estimation problem in unreliable multiagent networks through adversary detection. The agents are endowed with the capacity for detecting malicious neighbors and aim to collaboratively estimate the state variables of a dynamic system in the presence of malicious agents. A trust mechanism is first introduced to characterize the reliability of the information received from in-neighbors and identify the reliable information of two-hop in-neighbors....
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作者：Lv, Xiaoxiao; Cao, Jinde; Rutkowski, Leszek; Duan, Peiyong
作者单位：Southeast University - China; Polish Academy of Sciences; Systems Research Institute of the Polish Academy of Sciences; AGH University of Krakow; Yantai University
摘要：In this article, the local consensus problem of nonlinear time-delay multiagent systems with switching topologies via distributed saturated impulsive control is discussed and the maximum domain of attraction is well estimated. Specifically, we develop a new estimation approach that is quite distinct from the contractive invariant set to estimate the domain of attraction. Moreover, a novel composite impulsive-instant-dependent Lyapunov function is constructed and an improved convex hull represe...
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作者：Arteaga, Marco A.
作者单位：Universidad Nacional Autonoma de Mexico
摘要：Adaptive control is one of the most employed techniques to achieve trajectory tracking of robot manipulators. Although it is desirable to obtain exact parameter estimation, most adaptive schemes need the persistency of excitation (PE) condition on the regressor to be satisfied. In the recent years, the so-called dynamic regressor extension and mixing (DREM) procedure was developed to provide an alternative in the design of adaptive laws with conditions different from PE. When met, the improvem...
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作者：Gargiani, Matilde; Martinelli, Andrea; Martinez, Max Ruts; Lygeros, John
作者单位：Swiss Federal Institutes of Technology Domain; ETH Zurich; Swiss Federal Institutes of Technology Domain; ETH Zurich
摘要：The Bellman operator constitutes the foundation of dynamic programming (DP). An alternative is presented by the Gauss-Seidel operator, whose evaluation, differently from that of the Bellman operator where the states are all processed at once, updates one state at a time while incorporating into the computation the interim results. The provably better convergence rate of DP methods based on the Gauss-Seidel operator comes at the price of an inherent sequentiality, which prevents the exploitatio...
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作者：Shakib, Fahim; Scarciotti, Giordano; Jungers, Marc; Pogromsky, Alexander Yu; Pavlov, Alexey; van de Wouw, Nathan
作者单位：Imperial College London; Centre National de la Recherche Scientifique (CNRS); Universite de Lorraine; Eindhoven University of Technology; Norwegian University of Science & Technology (NTNU)
摘要：This article considers the problem of model reduction for Lur'e-type models consisting of a feedback interconnection between linear dynamics and static nonlinearities. We propose an optimal variant of the time-domain moment-matching method in which the H-infinity -norm of the error transfer-function matrix of the linear part of the model is minimized while the static nonlinearities are inherited from the full-order model. We show that this approach also minimizes an error bound on the L-2 -nor...
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作者：Song, Qiang; Meng, Deyuan; Wen, Guanghui; Cao, Jinde; Liu, Fang
作者单位：Huanghuai University; Huanghuai University; Beihang University; Beihang University; Southeast University - China; Southeast University - China; Purple Mountain Laboratories; Ahlia University Bahrain
摘要：This article is devoted to analyzing the equilibrium points and convergent behaviors for a constrained signed network with general topology containing a directed spanning tree, where the output of each agent is restricted by a constraint set. Different from unconstrained signed networks, the rooted subgraph and constraint sets are both critical for the theoretical analysis of the constrained signed network. By utilizing $H$-matrix theories, projection techniques, invariance principle, and an e...
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作者：Jiang, Yi; Liu, Lu; Feng, Gang
作者单位：City University of Hong Kong
摘要：This note investigates the adaptive linear quadratic control problem (ALQCP) for stochastic discrete-time (DT) linear systems with unmeasurable multiplicative and additive noises. A data-driven value iteration algorithm is developed to solve the stochastic algebraic Riccati equation (SARE) that results from the concerned problem and to simultaneously obtain the optimal feedback policy. The proposed algorithm directly uses online data to solve the ALQCP based on an unbiased estimator and an ini...
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作者：Wang, Lingfei; Chen, Guanpu; Bernardo, Carmela; Hong, Yiguang; Shi, Guodong; Altafini, Claudio
作者单位：Chinese Academy of Sciences; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Royal Institute of Technology; Linkoping University; Tongji University; University of Sydney
摘要：In this article, we propose and solve a social power game, i.e., a strategic game formulated on an opinion dynamics model and in which the agents aim to maximize their social power. As model we consider the concatenated Friedkin-Johnsen (FJ) model, which describes opinion evolution over a sequence of discussion events, while as actions we take the stubbornness coefficients, which can be freely chosen by the agents in order to maximize their social power, here corresponding to the utility funct...
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作者：Yilmaz, Cemal Tugrul; Krstic, Miroslav
作者单位：University of California System; University of California San Diego
摘要：Extremum seeking, an online model-free optimization algorithm with traditionally exponential convergence, was recently advanced by Poveda and coauthors to fixed-time convergence, using nonsmooth time-invariant feedback. In this article, we introduce an alternative time-varying prescribed-time extremum seeking (PT-ES) approach to reaching the optimum in a user-assignable prescribed time (PT), independent of the initial condition of the estimator. Instead of conventional sinusoidal probing signa...
