5期

最新文章

• k-Contraction in a Generalized Lurie System AI翻译
  作者：Ofir, Ron; Slotine, Jean-Jacques; Margaliot, Michael
  作者单位：Tel Aviv University; Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT); Tel Aviv University; Tel Aviv University; Sackler Faculty of Medicine
  摘要：We derive a sufficient condition for k-contraction in a generalized Lurie system (GLS), that is, the feedback connection of a nonlinear dynamical system and a memoryless nonlinear function. For k=1, this reduces to a sufficient condition for standard contraction. For k=2, this condition implies that every bounded solution of the GLS converges to an equilibrium, which is not necessarily unique. We demonstrate the theoretical results by analyzing k-contraction in a biochemical control circuit wi...
• Scalable Computation of H∞ Energy Functions for Polynomial Control-Affine Systems AI翻译
  作者：Corbin, Nicholas A.; Kramer, Boris
  作者单位：University of California System; University of California San Diego
  摘要：We present a scalable approach to computing nonlinear balancing energy functions for control-affine systems with polynomial nonlinearities. Al'brekht's power-series method is used to solve the Hamilton-Jacobi-Bellman equations for polynomial approximations to the energy functions. The contribution of this article lies in the numerical implementation of the method based on the Kronecker product, enabling scalability to over 1000 state dimensions. The tensor structure and symmetries arising from...
• Efficient Reconstruction of Neural Mass Dynamics Modeled by Linear-Threshold Networks AI翻译
  作者：Wang, Xuan; Cortes, Jorge
  作者单位：George Mason University; University of California System; University of California San Diego
  摘要：This article studies the data-driven reconstruction of firing rate dynamics of brain activity described by linear-threshold network models. Identifying the system parameters directly leads to a large number of variables and a highly nonconvex objective function. Instead, our approach introduces a novel reformulation that incorporates biological organizational features and turns the identification problem into a scalar variable optimization of a discontinuous, nonconvex objective function. We p...
• Consensus for Multiagent Systems With Input Delay and Observation Packet Loss AI翻译
  作者：Wang, Zhenhua; Xie, Lihua
  作者单位：Shandong Normal University; Nanyang Technological University
  摘要：In this article, the mean-square consensus problem for linear discrete multiagent systems over both undirected and directed graphs is explored. The agent dynamics in the network is influenced by both input delay and observation packet loss. The packet loss probabilities are allowed to be nonidentical for every agent. An optimal predictor-based protocol is developed, and conditions ensuring the mean-square consensus are provided, which are expressed in terms of system dynamics, graph parameters...
• Dynamic Resilient Consensus of Second-Order Multiagent Networks With a Time-Varying Malicious Agent Set AI翻译
  作者：Liu, Ze-Qiang; Liu, Zhi-Wei; He, Ding-Xin; Ye, Lintao; Chi, Ming
  作者单位：Huazhong University of Science & Technology; Huazhong University of Science & Technology
  摘要：We address the problem of resilient consensus in second-order multiagent networks (MANs) with a time-varying set of malicious agents. Existing research typically assumes a static set of malicious agents. However, in real-world scenarios, network attacks and recoveries may lead to dynamic changes in the roles of agents. To overcome this challenge, a novel adaptive weighted subsequence reduction (AWSR) is proposed for resilient consensus in MANs with a dynamic malicious agent set. Based on the A...
• Approximation-Free Control for Unknown Systems With Performance and Input Constraints AI翻译
  作者：Mishra, Pankaj K.; Jagtap, Pushpak
  作者单位：National Institute of Technology (NIT System); National Institute of Technology Hamirpur; Indian Institute of Science (IISC) - Bangalore
  摘要：This article addresses the problem of tracking control for an unknown nonlinear system with time-varying bounded disturbance subjected to prescribed performance and input constraints (PIC). Since the simultaneous prescription of PIC involves a tradeoff, we propose an analytical feasibility condition to prescribe a feasible PIC, which also results in a feasible initial state set as a corollary. In addition, we propose an approximation-free controller to ensure the tracking performance meets the...
• Adaptive Event-Triggered Distributed Observer Under Communication Link Faults AI翻译
  作者：Su, Housheng; Zhu, Haoxuan; Zeng, Zhigang
  作者单位：Huazhong University of Science & Technology
  摘要：This article addresses the problem of event-based fully distributed state estimation for an unperturbed linear time-invariant system in the presence of communication link faults. In a networked system, each agent is capable of constructing its local observer adaptively and transmitting its estimation to neighbors through discrete communication, thereby achieving accurate estimation of the system state while saving communication resources effectively. Specifically, first, the target system stat...
• Distributed Optimal Resource Allocation Control for Heterogeneous Linear Multiagent Systems AI翻译
  作者：Jiang, Shuoying; Ding, Zhengtao
  作者单位：University of Manchester
  摘要：This article investigates the continuous-time optimal distributed coordination problem with resource allocation constraints for general linear multiagent systems. The study is conducted over a connected undirected graph. By integrating the tracking controller design with global resource allocation optimization, fully distributed state-feedback controllers are proposed to solve optimization problems with output-based local objective functions. The dynamics of the entire multiagent system are we...
• On Data-Driven Stochastic Output-Feedback Predictive Control AI翻译
  作者：Pan, Guanru; Ou, Ruchuan; Faulwasser, Timm
  作者单位：Dortmund University of Technology; Hamburg University of Technology
  摘要：The fundamental lemma by J. C. Willems and coauthors enables the representation of all input-output trajectories of a linear time-invariant (LTI) system by measured input-output data. This result has proven to be pivotal for data-driven control. Building on a stochastic variant of the fundamental lemma, this article presents a data-driven output-feedback predictive control scheme for stochastic LTI systems. The considered LTI systems are subject to non-Gaussian disturbances about which only in...
• Remote State Estimation and Blum-Shub-Smale Machines-A Computability Analysis With Applications to Virtual Twinning AI翻译
  作者：Boche, Holger; Boeck, Yannik; Deppe, Christian; Fitzek, Frank H. P.
  作者单位：Technical University of Munich; University of Munich; Braunschweig University of Technology; Technische Universitat Dresden
  摘要：This article analyzes aspects of the problem of remote state estimation (RSE) via noisy communication channels for their Blum-Shub-Smale (BSS) computability, motivated by an exemplary application to a formal model of virtual twinning subject to stringent integrity requirements. Computability theory provides a unique framework for the formal and mathematically rigorous analysis of algorithms and computing machines. Therefore, computability theory is essential in the domain of safety- and life-c...