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作者：Wang, Chenyang; Wan, Haiying; Luan, Xiaoli; Liu, Fei
作者单位：Jiangnan University
摘要：In this article, a hierarchical self-triggered mechanism is designed to address real-time tradeoffs between control performance and resource utilization in linear systems, accompanied by detailed control and triggering strategies. Specifically, a hierarchical strategy is employed in this approach. The upper layer dynamically assigns trigger cost and control cost weights according to the real-time system state, while the lower layer calculates the optimal interexecution interval value and contr...
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作者：Long, Mingkang; Su, Housheng; Zheng, Wei Xing; Wang, Yong; Su, Rong
作者单位：Nanyang Technological University; Huazhong University of Science & Technology; Western Sydney University
摘要：In this article, we investigate adaptive event-triggered distributed state estimation problems for jointly detectable linear time-invariant (LTI) systems with unknown inputs over directed communication networks. In order to reduce the communication burden, by designing a novel event-triggered mechanism with composite triggering conditions, an adaptive event-triggered distributed observer is proposed for unknown-input LTI systems. Then, it is theoretically proved that the proposed observer can ...
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作者：Ren, Zhaolin; Ren, Tongzheng; Ma, Haitong; Li, Na; Dai, Bo
作者单位：Harvard University; University of Texas System; University of Texas Austin
摘要：This article proposes an approach, spectral dynamics embedding control, to optimal control for nonlinear stochastic systems. This method reveals an infinite-dimensional feature representation induced by the system's nonlinear stochastic dynamics, enabling a linear representation of the state-action value function. For practical implementation, this representation is approximated using finite-dimensional truncations, specifically via two prominent kernel approximation methods: random feature tr...
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作者：Wang, Peng; Shao, Xiaodong; Wang, Haibin; Chen, Mou
作者单位：Nanjing University of Aeronautics & Astronautics; Beihang University; Harbin University of Science & Technology
摘要：For a class of input-delayed disturbed linear systems, this article considers the problem of finite-time implicit-Lyapunov-function (ILF)-based control. With ILF as the evaluation of system performance, the established ILF optimality theorem reveals that the ILF-based controller minimizes a specific ILF-based meaningful cost index and provides finite-time stability. The inverse optimal idea facilitates the construction of ILF expression and exhibits two kinds of tuning weight parameters for de...
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作者：Wolff, Tobias M.; Lopez, Victor G.; Mueller, Matthias A.
作者单位：Leibniz University Hannover
摘要：In this article, we propose a novel Gaussian process (GP)-based moving horizon estimation (MHE) framework for unknown nonlinear systems. On the one hand, we approximate the system dynamics by the posterior means of the learned GPs. On the other hand, we exploit the posterior variances of the GPs to design the weighting matrices in the MHE cost function and account for the uncertainty in the learned system dynamics. The data collection and the tuning of the hyperparameters are done offline. We ...
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作者：Huang, Ran; Zhang, Jinhui
作者单位：Beijing University of Chemical Technology; Beijing Institute of Technology
摘要：In this article, we develop a new delay compensation framework for solving consensus problems over a static directed graph, as well as dynamic graphs with joint connectedness. The idea is to employ the nominal control law designed for the delay-free case combined with the approximate predictor-based compensation of delays. The proposed control laws can achieve global consensus in the presence of arbitrarily long time delays, and no extra condition is introduced in comparison with the delay-fre...
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作者：Furnsinn, Annika; Ebenbauer, Christian; Gharesifard, Bahman
作者单位：Queens University - Canada; RWTH Aachen University
摘要：In this article, we develop a systematic method for constructing a generalized discrete-time control Lyapunov function for the flexible-step model predictive control (MPC) scheme, recently introduced in (F & uuml;rnsinn et al., 2025), when restricted to the class of linear systems. Specifically, we show that a set of linear matrix inequalities (LMIs) can be used for this purpose, demonstrating its tractability. The main consequence of this LMI formulation is that, when combined with flexible-s...
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作者：Yang, Haitian; Yong, Wen-An
作者单位：Tsinghua University
摘要：This technical note is concerned with boundary stabilization of multidimensional discrete-velocity kinetic models. By exploiting a certain stability structure of the models and adapting an appropriate Lyapunov functional, we derive feasible control laws so that the corresponding solutions decay exponentially in time. The result is illustrated with an application to the 2-D coplanar model in a square container. The effectiveness of the derived control laws is confirmed by numerical simulations.
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作者：Yang, Yize; Chen, Yang-Yang; Li, Shihua
作者单位：Southeast University - China; Southeast University - China
摘要：This article addresses the multigroup consensus problem with signed networks, where a set of agents with positive-weight edges is treated as a group, and the edges among groups are negative weights. Based on group homomorphism theory, each group can be mapped as a virtual node, called the group representative node. Consequently, the signed networks can be represented by the homomorphic mapping graph with only negative weight edges. The definition of structural balance has been extended, elimin...
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作者：Ma, Yong-Sheng; Sun, Jian; Xu, Yong; Cui, Shi-Sheng; Wu, Zheng-Guang
作者单位：Beijing Institute of Technology; Zhejiang University
摘要：In this article, we investigate the optimal control problem for an unknown linear time-invariant system. To solve this problem, a novel composite policy iteration algorithm based on adaptive dynamic programming is developed to adaptively learn the optimal control policy from system data. The existing methods require the initial stabilizing control policy, the persistence of excitation (PE) condition and the data storage to ensure the algorithm convergence. Fundamentally different from them, th...
