2026

最新文章

• Cooperative Parallel Operation of Multiple Actuators Over Switching Networks AI翻译
  作者：Chen, Yuhan; Ding, Kemi; Liu, Tao
  作者单位：Southern University of Science & Technology
  摘要：The cooperative parallel operation problem was recently introduced to achieve output regulation of a linear plant with cooperation of multiple actuators. In addition to fulfilling the requirements of classical output regulation, this problem further requires an even distribution of the plant input among the actuators. However, the existing solution assumes a static and connected communication network for the actuators. This article further addresses the cooperative parallel operation problem o...
• Strategic Coalitions in Networked Contest Games AI翻译
  作者：Diaz-Garcia, Gilberto; Bullo, Francesco; Marden, Jason R.
  作者单位：University of California System; University of California Santa Barbara
  摘要：In competitive resource allocation formulations, multiple agents compete over different contests by committing their limited resources to them. For these settings, contest games offer a game-theoretic foundation to analyze how players can efficiently invest their resources. In this class of games, the resulting behavior can be affected by external interactions among the players. In particular, players may be able to make coalitions that allow transferring resources among them, seeking to impro...
• Interior-Point-Based H2 Controller Synthesis for Compartmental Systems AI翻译
  作者：Yang, Zhaohua; Yang, Nachuan; Wang, Pengyu; Zhang, Haishan; Xu, Xiayan; Shi, Ling
  作者单位：Hong Kong University of Science & Technology; University of Alberta
  摘要：This article focuses on the optimal H-2 controller design for compartmental systems, with the aim of enhancing system robustness while maintaining the law of mass conservation. Through a novel problem transformation, we establish that the original problem is equivalent to a new nonconvex optimization problem with a closed polyhedral constraint. Existing works have developed various first-order methods to tackle inequality constraints. However, they often lack convergence guarantees in nonconve...
• Resilient Quantized Consensus in Multihop Relay Networks AI翻译
  作者：Yuan, Liwei; Ishii, Hideaki
  作者单位：Hunan University; University of Tokyo
  摘要：We study resilient quantized consensus in multiagent systems, where some agents may malfunction. The network consists of agents taking integer-valued states, and the agents' communication is subject to asynchronous updates and time delays. We utilize the quantized weighted mean-subsequence-reduced algorithm where agents communicate with others through multihop relays. We prove necessary and sufficient conditions for our algorithm to achieve the objective under the malicious and Byzantine attac...
• A Linear Differential Inclusion for Contraction Analysis to Known Trajectories AI翻译
  作者：Harapanahalli, Akash; Coogan, Samuel
  作者单位：University System of Georgia; Georgia Institute of Technology
  摘要：Infinitesimal contraction analysis provides exponential convergence rates between arbitrary pairs of trajectories of a system by studying the system's linearization. An essentially equivalent viewpoint arises through stability analysis of a linear differential inclusion (LDI) encompassing the incremental behavior of the system. In this note, we use contraction tools to study the exponential stability of a system to a particular known trajectory, deriving a new LDI characterizing the error betw...
• Sampling-Based Stochastic Data-Driven Predictive Control Under Data Uncertainty AI翻译
  作者：Teutsch, Johannes; Kerz, Sebastian; Wollherr, Dirk; Leibold, Marion
  作者单位：Technical University of Munich
  摘要：We present a stochastic constrained output-feedback data-driven predictive control scheme for linear time-invariant systems subject to bounded additive disturbances. The approach uses data-driven predictors based on an extension of Willems' fundamental lemma and requires only a single PE input-output data trajectory. Compared to current state-of-the-art approaches, we do not rely on availability of exact disturbance data. Instead, we leverage a novel parameterization of the unknown disturbance...
• Invariant and Attracting Sets of Stochastic Partial Functional Differential Systems AI翻译
  作者：Xu, Liguang; Li, Dingshi
  作者单位：University of Shanghai for Science & Technology; Southwest Jiaotong University
  摘要：This article is dedicated to analyzing invariant and attracting sets of stochastic partial functional differential systems. By introducing an approximate system with strong solutions and employing a limit argument along with a proof by reductio ad absurdum, several new sufficient conditions for the existence of invariant and attracting sets of the mild solutions are established. Finally, examples are provided alongside comparisons to existing results to demonstrate the superiority of our obtai...
• Analysis of Higher Order Lotka-Volterra Models: Application of S-Tensors and the Polynomial Complementarity Problem AI翻译
  作者：Cui, Shaoxuan; Zhao, Qi; Zhang, Guofeng; Jardon-Kojakhmetov, Hildeberto; Cao, Ming
  作者单位：University of Groningen; Qingdao University of Science & Technology; Hong Kong Polytechnic University; University of Groningen
  摘要：It is known that the effect of species' density on its growth is nonadditive in real ecological systems. This challenges the conventional Lotka-Volterra model, where the interactions are always pairwise and their effects are additive. To address this challenge, we introduce higher order interactions, which are able to capture, for example, the indirect effect of one species on a second one correlating to yet a third. Towards this end, we study a general higher order Lotka-Volterra model. We pr...
• Unobservable Systems: No Problem for Noise Identification AI翻译
  作者：Kost, Oliver; Dunik, Jindrich; Puncochar, Ivo; Straka, Ondrej
  作者单位：University of West Bohemia Pilsen
  摘要：This article deals with the noise identification of a linear time-varying stochastic dynamic system described by the state-space model. In particular, the stress is laid on the design of the correlation measurement difference method for estimation of the state and measurement noise covariance matrices for both observable and unobservable systems with possibly unknown input sequence. The method provides unbiased and consistent estimates and is implemented in a publicly available Matlab toolbox ...
• Backward Reachability Analysis of Perturbed Continuous-Time Linear Systems Using Set Propagation AI翻译
  作者：Wetzlinger, Mark; Althoff, Matthias
  作者单位：Technical University of Munich
  摘要：Backward reachability analysis computes the set of states that reach a target set under the competing influence of control inputs and disturbances. Depending on their interplay, the backward reachable set either represents all states that can be steered into the target set or all states that cannot avoid entering it-the corresponding solutions can be used for controller synthesis and safety verification, respectively. A popular technique for backward reachable set computation solves Hamilton-J...