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作者：Chen, Yaru; Cong, Yirui; Zhou, Xiangyun; Cheng, Long; Wang, Xiangke
作者单位：National University of Defense Technology - China; Australian National University; Chinese Academy of Sciences; Institute of Automation, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS
摘要：In wireless communication-based formation control systems, the control performance is significantly impacted by the channel capacity of each communication link between agents. This relationship, however, remains under investigated in the existing studies. To address this gap, the formation control problem of classical second-order multiagent systems with bounded process noises was considered taking into account the channel capacity. More specifically, the model of communication links between a...
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作者：Zino, Lorenzo; Ye, Mengbin; Calafiore, Giuseppe C.; Rizzo, Alessandro
作者单位：Polytechnic University of Turin; Curtin University; University of Adelaide
摘要：In this article, we deal with the equilibrium selection problem, which amounts to steering a population of individuals engaged in strategic game-theoretic interactions to a desired collective behavior. In the literature, this problem has been typically tackled by means of open-loop strategies, whose applicability is limited by the need of accurate a priori information on the game and a lack of robustness to uncertainty and noise. Here, we overcome these limitations by adopting a closed-loop ap...
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作者：Park, Shinkyu; Leonard, Naomi Ehrich
作者单位：King Abdullah University of Science & Technology; Princeton University
摘要：We study a multiagent decision problem in large population games. Agents from multiple populations select strategies for repeated interactions with one another. At each stage of these interactions, agents use their decision-making model to revise their strategy selections based on payoffs determined by an underlying game. Their goal is to learn the strategies that correspond to the Nash equilibrium of the game. However, when games are subject to time delays, conventional decision-making models...
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作者：[Anonymous]
摘要：This article introduces a nonlinear adaptive proportional-integral-derivative (PID) tracking control methodology suitable for a class of multi-in-multi-out nonlinear systems. By incorporating three nonlinear modulating (trimming) functions to recalibrate the generalized tracking error, a nonlinear PID control framework is constructed that possesses several notable features. First, the user-assignable parameters in the modulating functions allow the resultant control strategy to analytically br...
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作者：Su, Lanlan; Zhao, Di; Khong, Sei Zhen
作者单位：University of Manchester; Nanjing University; Tongji University; National Sun Yat Sen University
摘要：This note studies the exponential convergence of input-output signals of discrete-time nonlinear systems composed of a feedback interconnection of a linear time-invariant system and a nonlinear uncertainty. Both the open-loop subsystems are allowed to be unbounded. Integral-quadratic-constraint-based conditions are proposed for these uncertain feedback systems, including the Lurye type, to exhibit the property that the endogenous input-output signals enjoy an exponential convergence rate for a...
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作者：Zhang, Sheng; Pananjady, Ashwin; Romberg, Justin
作者单位：University System of Georgia; Georgia Institute of Technology
摘要：Motivated by decentralized sensing and policy evaluation problems, we consider a particular type of distributed stochastic optimization problem over a network, called the online stochastic distributed averaging problem. We design and analyze a dual-based, Polyak-Ruppert averaged method for this problem. We show that the proposed algorithm attains an accelerated deterministic error depending optimally on the condition number of the network, and also that it has optimal stochastic error. This im...
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作者：Caiazzo, Bianca; Leccese, Sara; Pepe, Pierdomenico; Petrillo, Alberto; Santini, Stefania
作者单位：University of Naples Federico II; University of L'Aquila
摘要：This manuscript shows the global exponential stability preservation for the class of fully nonlinear retarded globally Lipschitz systems with time-varying delays under suitably fast sampling while considering at the same time the problem of the nonavailability in the buffer device of the system variables at some past (delayed) times. To this aim, a spline interpolation scheme is exploited to derive the digital control law, which has the benefit of ease of implementation. Main theoretical resul...
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作者：Fan, Yuzhen; Zhang, Xiaoyu; Gao, Chuanhou; Dochain, Denis
作者单位：Zhejiang University; Southeast University - China; Universite Catholique Louvain
摘要：Rapid advancements of artificial neural networks for computer sciences, inspired by biological neuron interaction mechanisms, may be leveraged in reverse to synthetic biology by providing advanced molecular programming paradigms capable of autonomously learning and executing complex tasks. A challenging exploration is to implement neural network functionalities through biochemical reaction networks (BCRNs), a language that is inherently compatible with in vivo, with difficulties especially in ...
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作者：Khajenejad, Mohammad; Brown, Scott; Martinez, Sonia
作者单位：University of Tulsa; University of California System; University of California San Diego
摘要：This article introduces a novel recursive distributed estimation algorithm aimed at synthesizing input and state interval observers for nonlinear bounded-error discrete-time multiagent systems. The considered systems have sensors and actuators that are susceptible to unknown or adversarial inputs. To solve this problem, we first identify conditions that allow agents to obtain nonlinear bounded-error equations characterizing the input. Then, we propose a distributed interval-valued observer tha...
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作者：Yue, Dongdong; Shi, Jiantao; Shi, Ling; Frasca, Paolo; Baldi, Simone
作者单位：Nanjing Tech University; Hong Kong University of Science & Technology; Inria; Communaute Universite Grenoble Alpes; Institut National Polytechnique de Grenoble; Universite Grenoble Alpes (UGA); Centre National de la Recherche Scientifique (CNRS); Southeast University - China
摘要：Complex networks, neuroscience, and other applications have shown examples of multiagent adaptive systems that must follow (over possibly short times) reference dynamics that are neither Hurwitz nor neutrally stable. However, such leader-following behavior would be impossible with existing adaptive consensus methods, e.g., based on model reference adaptive control, since the stability of the reference dynamics is required. To fill this gap, we propose a novel model reference adaptive stabilizi...
