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作者：Wang, Jianzheng; Hu, Guoqiang
作者单位：Nanyang Technological University; Zhejiang University of Technology
摘要：In this work, we consider solving a distributed optimization problem in a multiagent network with multiple agent clusters. In each cluster, the agents manage separable cost functions composed of possibly nonsmooth components and aim to achieve an agreement on a common decision of the cluster. The global cost function is considered as the sum of the individual cost functions associated with affine coupling constraints on the clusters' decisions. To solve this problem, the dual problem is formul...
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作者：Xu, Haotian; Liu, Shuai; Wang, Bohui; Wang, Jingcheng
作者单位：Shandong University; Xidian University; Shanghai Jiao Tong University
摘要：The distributed observer design problem holds significant importance in cases in which the output information of a system is decentralized across different subsystems. Each subsystem has a local observer and access to one part of the measurement outputs and information exchanged through communication networks. This article focuses on the design of distributed observer with jointly connected directed switching networks. The problem presents challenges due to passive switching modes and the open...
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作者：Zhang, Yuan; Fernando, Tyrone; Darouach, Mohamed
作者单位：Beijing Institute of Technology; University of Western Australia; Universite de Lorraine
摘要：In this article, new characterizations for functional observability, functional detectability, and structural functional observability (SFO) are developed, and based on them, the related optimal sensor placement problems are investigated. A novel concept of modal functional observability coinciding with the notion of modal observability is proposed. This notion introduces necessary and sufficient conditions for functional observability and detectability in a unified way without resorting to sy...
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作者：Shahab, Mohamad T.; Miller, Daniel E.
作者单位：King Abdullah University of Science & Technology; University of Waterloo
摘要：In this article, we examine the model reference adaptive control problem when the commonly used projection algorithm is utilized, subject to several common assumptions on the set of admissible parameters, in particular a compactness constraint as well as knowledge of the sign of the high-frequency gain. It is proven in the literature that for this setup, the closed-loop system is bounded-input bounded-state; since the closed-loop system is not linear time-invariant, this does not imply a bound...
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作者：Tacchi, Matteo; Lian, Yingzhao; Jones, Colin N.
作者单位：Centre National de la Recherche Scientifique (CNRS); Communaute Universite Grenoble Alpes; Universite Grenoble Alpes (UGA); Institut National Polytechnique de Grenoble; Huawei Technologies; Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne
摘要：While stability analysis is a mainstay for control science, especially computing regions of attraction of equilibrium points, until recently most stability analysis tools always required explicit knowledge of the model or a high-fidelity simulator representing the system at hand. In this work, a new data-driven Lyapunov analysis framework is proposed. Without using the model or its simulator, the proposed approach can learn a piecewise affine Lyapunov function with a finite and fixed offline d...
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作者：Zhang, Tianliang; Xu, Shengyuan; Zhang, Weihai
作者单位：Qingdao University of Technology; Nanjing University of Science & Technology; Nanjing University of Science & Technology; Shandong University of Science & Technology
摘要：This article investigates uniform finite-time stabilization, mean square uniform stabilization, and mean square uniform asymptotic/exponential stabilization of linear discrete time-varying stochastic (LDTVS) systems. A new state transition matrix (STM) method is first used to study the feedback stabilization problem of LDTVS systems. Based on the STM method, necessary and sufficient conditions for the above concerned feedback stabilization issues are, respectively, presented in terms of STMs a...
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作者：Heath, William P.; Carrasco, Joaquin
作者单位：Bangor University; University of Manchester
摘要：We consider Lurye systems, whose nonlinear operator is characterized by a nonlinearity that is bounded above and below by monotone functions. Absolute stability can be established using a subclass of the O'Shea-Zames-Falb multipliers. We develop phase conditions for both continuous-time and discrete-time systems under which there can be no such suitable multiplier for the transfer function of a given plant. In discrete time the condition can be tested via a linear program, while in continuous ...
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作者：Mehdipour, Noushin; Vasile, Cristian-Ioan; Belta, Calin
作者单位：Boston University; Lehigh University; University System of Maryland; University of Maryland College Park
摘要：Robustness functions provide quantitative scores to measure the satisfaction of temporal logic formulas. We introduce a general class of parameterized robustness functions for signal temporal logic (STL), and demonstrate how it can be used for control problems involving STL specifications. We employ power means and generalized functional means to capture robust satisfaction over space and time. We show that our general definition encompasses many of the STL robustness functions in the literatu...
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作者：Scarabaggio, Paolo; Carli, Raffaele; Grammatico, Sergio; Dotoli, Mariagrazia
作者单位：Politecnico di Bari; Delft University of Technology
摘要：In this article, we address a class of Nash games with nonconvex coupling constraints for which we define a novel notion of local equilibrium, here named local generalized Nash equilibrium (LGNE). Our first technical contribution is to show the stability in the game theoretic sense of these equilibria on a specific local subset of the original feasible set. Remarkably, we show that the proposed notion of local equilibrium can be equivalently formulated as the solution of a quasi-variational in...
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作者：Williams, Alan; Krstic, Miroslav; Scheinker, Alexander
作者单位：University of California System; University of California San Diego; United States Department of Energy (DOE); Los Alamos National Laboratory
摘要：We introduce a safe extremum-seeking algorithm that achieves the minimization of an unknown objective function while ensuring that an unknown, yet measured, control barrier function (CBF) remains above an arbitrarily small negative value for all time. In other words, practical safety is maintained during the entire period of convergence to the constrained extremum. Our design is based on quadratic program (QP) CBF style filters for safety, which is applied in an average and estimated sense. Us...
