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作者：Huang, Shijie; Lei, Jinlong; Hong, Yiguang
作者单位：Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Tongji University
摘要：This article considers distributed Nash equilibrium (NE) seeking of strongly monotone aggregative games over a multiagent network. Each player can only observe its own strategy while can exchange information with its neighbors via a communication graph. To solve the problem, we propose a distributed algorithm with multiple rounds of communication, where the players need constant rounds of communication with their neighbors at each iteration. We then prove that our algorithm converges to the (u...
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作者：Zhang, Lixian; Xu, Kaixin; Yang, Jianan; Han, Minghao; Yuan, Shuai
作者单位：Harbin Institute of Technology
摘要：technical article is concerned with the bumpless transfer control synthesis of a class of discrete-time switched lin-ear systems with general persistent dwell-time (PDT) switching sig-nals. A novel piecewise transition-dependent controller facilitating the control synthesis is designed, which ensures the stability of the closed-loop system as well as the bumpless transfer at the oc-currence of the switching. By imposing the given bumps limitation constraints, sufficient conditions on the exist...
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作者：Bhavsar, Nirav; Prashanth, L. A.
作者单位：Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Madras
摘要：We introduce biased gradient oracles to capture a setting where the function measurements have an estimation error that can be controlled through a batch size parameter. Our proposed oracles are appealing in several practical contexts, for instance, risk measure estimation from a batch of independent and identically distributed samples, or simulation optimization, where the function measurements are biased due to computational constraints. In either case, increasing the batch size reduces the ...
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作者：Wu, Xuyang; Wang, He; Lu, Jie
作者单位：Royal Institute of Technology; ShanghaiTech University
摘要：In this article, we investigate distributed convex opti-mization with both inequality and equality constraints, where the objective function can be a general nonsmooth convex function and all the constraints can be both sparsely and densely cou-pling. By strategically integrating ideas from primal-dual, proxi-mal, and virtual-queue optimization methods, we develop a novel distributed algorithm, referred to as IPLUX, to address the prob-lem over a connected, undirected graph. We show that IPLUX...
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作者：Zou, Yao; Xia, Kewei; Zuo, Zongyu; Ding, Zhengtao
作者单位：University of Science & Technology Beijing; University of Science & Technology Beijing; Beijing Institute of Technology; Beihang University; University of Manchester
摘要：Rather than the conventional pure consensus, this article proposes a pulsewidth modulation (PWM) protocol for an improved interval consensus of multiagent systems from the distributed perspective. In particular, the consensus of all the agents is achieved within a prescribed interval, which is merely available to partial agents, though. The PWM protocol effectively relieves the running burden of the agents without the additional analogue-to-digital conversion. The modulation periods of differe...
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作者：de Rozario, Robin; Oomen, Tom
作者单位：Eindhoven University of Technology
摘要：Iterative learning control (ILC) enables substantial performance improvement by using past operational data in combination with approximate plant models. The aim of this article is to develop an ILC framework based on nonparametric frequency response function (FRF) models that requires very limited modeling effort. These FRF models describe the behavior of a system in periodic steady state, yet are employed for the control of arbitrary finite-length tasks. A detailed analysis and design framew...
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作者：Kolar, Bernd; Diwold, Johannes; Schoeberl, Markus
作者单位：Johannes Kepler University Linz
摘要：In this article, we show that the flatness of a nonlinear discrete-time system can be checked by computing a unique sequence of involutive distributions. The well-known test for static feedback linearizability is included as a special case. Since the computation of the sequence of distributions requires only the solution of algebraic equations, it allows an efficient implementation in a computer algebra program. In case of a positive result, a flat output can be obtained by straightening out t...
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作者：Markovsky, Ivan; Dorfler, Florian
作者单位：ICREA; Universitat Politecnica de Catalunya; Centre Internacional de Metodes Numerics en Enginyeria (CIMNE); Swiss Federal Institutes of Technology Domain; ETH Zurich
摘要：Identifiability, i.e., uniqueness of a solution of the identification problem, is a fundamental issue in system identification and data-driven control. Necessary and sufficient identifiability conditions for deterministic linear time-invariant systems that do not require a priori given input/output partitioning of the variables nor controllability of the true system are derived in the article. The prior knowledge needed for identifiability is the number of inputs, lag, and order of the true sy...
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作者：Mukherjee, Sayak; Vu, Thanh Long
作者单位：United States Department of Energy (DOE); Pacific Northwest National Laboratory
摘要：This article delves into designing stabilizing feedback control gains for continuous-time linear systems with unknown state matrix, in which the control gain is subjected to a structural constraint. We bring forth the ideas from reinforcement learning (RL) in conjunction with sufficient stability and performance guarantees in order to design these structured gains using the trajectory measurements of states and controls. We first formulate a model-based linear quadratic regulator (LQR) framewo...
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作者：Chi, Ronghu; Li, Huaying; Shen, Dong; Hou, Zhongsheng; Huang, Biao
作者单位：Qingdao University of Science & Technology; Renmin University of China; Qingdao University; University of Alberta
摘要：In this article, an indirect adaptive iterative learning control (iAILC) scheme is proposed for both linear and nonlinear systems to enhance the P-type controller by learning from set points. An adaptive mechanism is included in the iAILC method to regulate the learning gain using input-output measurements in real time. An iAILC method is first designed for linear systems to improve control performance by fully utilizing model information if such a linear model is known exactly. Then, an itera...
