IEEE Transactions on Automatic Control

最新文章

• Scaling up the Formation of Agents With Heterogeneous Sensing: Mixed Distance and Bearing-Only AI翻译
  作者：Chen, Jin; Jayawardhana, Bayu; de Marina, Hector Garcia
  作者单位：University of Groningen; University of Granada; University of Granada
  摘要：Unlike the case with identical neighboring agents whose actions are mirrored, the problem of distributed formation control design with heterogeneous sensing is not straightforward. In this article, we consider the problem of distributed formation control where each agent can only control distances or bearings with its neighbors. We first develop a rigidity theory with heterogeneous sensing to ensure that the desired shape is well-posed. Second, we propose an iterative method that allows us to ...
• Generalized Forgetting Recursive Least Squares: Stability and Robustness Guarantees AI翻译
  作者：Lai, Brian; Bernstein, Dennis S.
  作者单位：University of Michigan System; University of Michigan
  摘要：This work presents generalized forgetting recursive least squares (GF-RLS), a generalization of RLS that encompasses many extensions of RLS as special cases. First, sufficient conditions are presented for the 1) Lyapunov stability, 2) uniform Lyapunov stability, 3) global asymptotic stability, and 4) global uniform exponential stability of parameter estimation error in GF-RLS when estimating fixed parameters without noise. Second, robustness guarantees are derived for the estimation of time-va...
• Logical Dynamic Games: Models, Equilibria, and Potentials AI翻译
  作者：Li, Changxi; Li, Aming; Wu, Yuhu; Wang, Long
  作者单位：Peking University; Shandong University; Dalian University of Technology
  摘要：Logical dynamic games (LDGs) are a class of dynamic games that incorporate logical dynamics to describe the evolution of external states. Such games can be found in a wide range of natural and engineered systems, such as the Boolean network of lactose operon in Escherichia coli. However, little attention has been paid to LDGs in the control community. This article aims at developing a framework for the analysis and synthesis of LDGs under finite-horizon criteria. First, a general mathematical ...
• Exponential Stabilization of Stochastic Systems via Novel Event-Triggered Switching Controls AI翻译
  作者：Yang, Xuetao; Zhu, Quanxin; Wang, Hua
  作者单位：Nanjing University of Posts & Telecommunications; Hunan Normal University; Hunan Normal University; Xiangtan University
  摘要：In this article, a novel event-triggered switching control is introduced to investigate the mean-square exponential stabilization for a class of stochastic systems. Different from the traditional event-triggered controls in deterministic/stochastic control systems, the proposed control strategy includes a primary control and a secondary control, which allows for the switching between two different controls. Moreover, a novel static/dynamic event-triggering mechanism based on event detection, c...
• Margin-Based Scenario Approach to Robust Optimization in High Dimension AI翻译
  作者：Lauer, Fabien
  作者单位：Centre National de la Recherche Scientifique (CNRS); Universite de Lorraine
  摘要：This article deals with the scenario approach to robust optimization. This relies on a random sampling of the possibly infinite number of constraints induced by uncertainties in the parameters of an optimization problem. Solving the resulting random program yields a solution for which the quality is measured in terms of the probability of violating the constraints for a random value of the uncertainties, typically unseen before. Another central issue is the determination of the sample complexi...
• Optimal Control and Filtering for Hierarchical Decision Problems With H∞ Constraint Based on Stackelberg Strategy AI翻译
  作者：Jing, Zonglei; Li, Xiaoqian; Ju, Peijun; Zhang, Huanshui
  作者单位：Taishan University; Shandong University of Science & Technology
  摘要：This article considers the hierarchical decision problems with H(infinity )constraint, where the proposed feedback Stackelberg strategy incorporates a two-level control progress. The leader first announces his action at the beginning of the game and anticipates the follower's optimal response; the follower chooses a response to optimize his/her cost function with the information of the leader's action. The optimal action of the leader, coupled with the rational response of the follower, forms ...
• Distributed Dynamic Clustering and Consensus in Multiagent Systems AI翻译
  作者：Lian, Bosen; Koru, Ahmet Taha; Xue, Wenqian; Lewis, Frank L.; Davoudi, Ali
  作者单位：Auburn University System; Auburn University; State University System of Florida; University of Florida
  摘要：This article proposes a unified framework of a distributed dynamic clustering method and a distributed control law to solve the cluster consensus problem for networked multiagent systems (MASs) with multiple leaders. Given any initial unclustered directed graph and any initial-state followers and leaders, the distributed dynamic clustering method aims to cluster each leader with at least one follower without interconnection among the clusters. This cuts some initially available edges online by...
• Stability and Convergence of a Randomized Model Predictive Control Strategy AI翻译
  作者：Veldman, Daniel W. M.; Borkowski, Alexandra; Zuazua, Enrique
  作者单位：University of Erlangen Nuremberg; University of London; King's College London; University of Deusto; Autonomous University of Madrid
  摘要：RBM-MPC is a computationally efficient variant of model predictive control (MPC) in which the random batch method (RBM) is used to speed up the finite-horizon optimal control problems at each iteration. In this article, stability and convergence estimates are derived for RBM-MPC of unconstrained linear systems. The obtained estimates are validated in a numerical example that also shows a clear computational advantage of RBM-MPC.
• A Multivariate Non-Gaussian Bayesian Filter Using Power Moments AI翻译
  作者：Wu, Guangyu; Lindquist, Anders
  作者单位：Shanghai Jiao Tong University; Shanghai Jiao Tong University
  摘要：In this article, we extend our results on the univariate non-Gaussian Bayesian filter using power moments (Wu and Lindquist, 2023) to the multivariate systems, which can be either linear or nonlinear. Doing this introduces several challenging problems, for example a positive parametrization of the density surrogate, which is not only a problem of filter design but also one of the multidimensional Hamburger moment problem. We propose a parametrization of the density surrogate with the proofs to...
• Plug-and-Play Cooperative Navigation: From Single-Agent Navigation Fields to Graph- Maintaining Distributed MAS Controllers AI翻译
  作者：Guralnik, Dan P.; Stiller, Peter F.; Zegers, Federico M.; Dixon, Warren E.
  作者单位：State University System of Florida; University of Florida; Texas A&M University System; Texas A&M University College Station; Johns Hopkins University; Johns Hopkins University Applied Physics Laboratory
  摘要：A class of closed-form distributed controllers achieving leader-following in a multiagent system (MAS) with distance-limited communications in a compact obstructed environment is developed: given a user-provided navigation field for a single point agent as an input, the desired MAS PnP (Plug-and-Play) controller is obtained through a closed-form expression. In particular, cooperative navigation in an environment of arbitrary complexity is achievable whenever an adequate single-agent navigation...