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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：Hou, Jie; Zeng, Xianlin; Cui, Shisheng; Wang, Gang; Sun, Jian
作者单位：Beijing Institute of Technology; Beijing Institute of Technology
摘要：This article considers distributed composite minimization with set constraints and nonsmooth terms represented by indicator functions. In this setup, projecting onto set constraints is difficult, while indicator functions admit efficient proximal operations. Problems of this form frequently arise in the context of semidefinite programming and its applications, such as clustering and kernel learning. However, existing distributed algorithms for composite minimization are designed exclusively fo...
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作者：Cao, Runhua; Zhao, Yu; Liu, Yongfang; Huang, Panfeng
作者单位：Northwestern Polytechnical University; Northwestern Polytechnical University
摘要：This article addresses the design problem of the privacy-protected and prescribed-time dynamic average consensus (DAC) algorithm over possibly unbalanced directed networks-the most general and most challenging case from the perspective of typologies, which has been rarely studied in existing literature. First, by developing an integral surplus-based prescribed-time control framework, a prescribed-time DAC algorithm is designed over unbalanced directed networks, which allows all agents to achie...
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作者：Zhang, Zhixin; Chen, Zhiyong; Fang, Wentuo
作者单位：Central South University; University of Newcastle
摘要：This article investigates the consensus of discrete-time high-dimensional multiagent systems, where the Euclidean norm of the consensus error between neighboring agents is subject to transient performance constraints. Transient performance constraints are widely prevalent in practical systems due to considerations, such as safety and optimal functionality. However, existing research on constrained discrete-time systems is limited. In this study, the constrained quantity is the Euclidean norm o...
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作者：Zhao, Can; An, Liwei; Zhang, Lili
作者单位：Northeastern University - China; Northeastern University - China; Northeastern University - China
摘要：In this article, we study the problem of collision/ obstacle avoidance in the distributed cooperative tracking control of nonlinear multiagent systems (MASs) with limited data rate. The limited data rate constrains the speed at which agents make cooperative decisions, thus increasing the risk of collisions. To address this issue, a distributed command governor under the wireless network with limited data rate is provided. The distributed command governor intelligently adjusts the reference sig...
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作者：Liu, Qian; He, Yong; Jiang, Lin
作者单位：China University of Geosciences; University of Liverpool
摘要：This article investigates uniform almost sure stability of randomly switched time-varying systems. Mode-dependent indefinite multiple Lyapunov functions (iMLFs) are introduced to assess stability properties of diverse time-varying subsystems. To realize the stability conditions establishment based on iMLFs, we present a novel condition so-called mean uniformly stable function (MUSF) for time-varying parameters of iMLFs' derivatives. Our approach provides a probabilistic perspective, making iML...
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作者：Yan, Jiaqi; Markovsky, Ivan; Lygeros, John
作者单位：Beihang University; Beihang University; ICREA; Universitat Politecnica de Catalunya; Centre Internacional de Metodes Numerics en Enginyeria (CIMNE); Swiss Federal Institutes of Technology Domain; ETH Zurich
摘要：This article addresses the problem of secure data reconstruction for unknown systems, where data collected from the system are susceptible to malicious manipulation. We aim to recover the real trajectory without prior knowledge of the system model. To achieve this, a behavioral language is used to represent the system, describing it using input/output trajectories instead of state-space models. We consider two attack scenarios. In the first scenario, up to $k$ entries of the collected data are...
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作者：Battilotti, Stefano
作者单位：Sapienza University Rome
摘要：An observer design framework is introduced for ordinary differential equation systems based on various types of existing or even novel one-parameter symmetries (exact, asymptotic, and variational) ending up with different types of semiglobal and global observers, by considering bounded or unbounded system solutions and requiring asymptotic-time or prescribed-time error convergence. We compare some of these symmetry-based observers with existing observers, recovering for instance the same perfo...
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作者：Cao, Runhua; Liu, Yongfang; Zhao, Yu; Wu, Dapeng Oliver; Chen, Guanrong
作者单位：Northwestern Polytechnical University; City University of Hong Kong; City University of Hong Kong
摘要：This article addresses the design of a dynamic average consensus (DAC) algorithm over strongly connected but may not necessarily balanced digraphs, which seems to be the first time in the literature. Specifically, a new concept of integral surplus is proposed for DAC problems. On this basis, an integral surplus DAC algorithm is developed for agents to track the average of their multiple dynamic input signals with a bounded steady-state error. Such error is tunable by some algorithm parameters ...
