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作者：Qi, Wenhai; Zong, Guangdeng; Hou, Yakun; Chadli, Mohammed
作者单位：Qufu Normal University; Chengdu University; Tiangong University; Universite Paris Saclay
摘要：This article is devoted to the discrete-time sliding mode control (DSMC) for nonlinear semi-Markovian switching systems (S-MSSs). Motivated by the fact that the complete information of the semi-Markov Kernel is difficult to be obtained in practical applications, it is recognized to be partly unknown as the most common mean. By utilizing the prior information of the sojourn-time upper bound for each switching mode, sufficient conditions under the equivalent DSMC law are proposed for the mean sq...
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作者：Wang, Xuan; Mou, Shaoshuai; Anderson, Brian D. O.
作者单位：George Mason University; Purdue University System; Purdue University; Australian National University; Hangzhou Dianzi University
摘要：Inspired and underpinned by the idea of integral feedback, a distributed constant gain algorithm is proposed for multiagent networks to solve convex optimization problems with local linear constraints. Assuming agent interactions are modeled by an undirected graph, the algorithm is capable of achieving the optimum solution with an exponential convergence rate. Furthermore, inherited from the beneficial integral feedback, the proposed algorithm has attractive requirements on communication bandw...
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作者：Zeng, Xianlin; Lei, Jinlong; Chen, Jie
作者单位：Beijing Institute of Technology; Tongji University
摘要：This article develops a continuous-time primal-dual accelerated method with an increasing damping coefficient for a class of convex optimization problems with affine equality constraints. This article analyzes critical values for parameters in the proposed method and prove that the rate of convergence in terms of the duality gap function is O( 1/t(2)) by choosing suitable parameters. As far as we know, this is the first continuous-time primaldual accelerated method that can obtain the optimal ...
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作者：Zhao, Wenxiao; Weyer, Erik; Yin, George; Dong, Daoyi; Zhang, Yahui; Shen, Tielong
作者单位：Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; University of Melbourne; University of Connecticut; University of New South Wales Sydney; Yanshan University; Sophia University
摘要：In this article, adaptive regulation of block-oriented nonlinear systems, i.e., Hammerstein and Wiener systems, with binary-valued measurements of the regulation errors is considered. Compared with the classical framework for stochastic adaptive control, the new feature here is that only binary-valued observations of regulation errors are available to the controller. An adaptive regulator based on the stochastic approximation algorithm is proposed and it is proved that the regulator is optimal...
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作者：Na, Sen; Anitescu, Mihai
作者单位：University of Chicago; United States Department of Energy (DOE); Argonne National Laboratory
摘要：We develop a one-Newton-step-per-horizon, online, lag-L, model predictive control (MPC) algorithm for solving discrete-time, equality-constrained, nonlinear dynamic programs. Based on recent sensitivity analysis results for the target problems class, we prove that the approach exhibits a behavior that we call superconvergence; that is, the tracking error with respect to the full-horizon solution is not only stable for successive horizon shifts, but also decreases with increasing shift order to...
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作者：Wang, Xiaoling; Su, Housheng; Zhang, Fan; Chen, Guanrong
作者单位：Nanjing University of Posts & Telecommunications; Nanjing University of Posts & Telecommunications; Huazhong University of Science & Technology; Sun Yat Sen University; City University of Hong Kong
摘要：In this article, the state estimation problem of a continuous-time linear time-invariant system is investigated for the situation with unknown external disturbance and measurement noise. A robust distributed interval observer is designed, which consists of a group of sensors communicating with others through a directed graph where each sensor can only access partial information from the output of the plant. The communication among the sensors together with the heterogeneity and undetectability...
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作者：Gupta, Piyush; Bopardikar, Shaunak D.; Srivastava, Vaibhav
作者单位：Michigan State University
摘要：We consider a team of heterogeneous agents, which is collectively responsible for servicing, and subsequently reviewing a stream of homogeneous tasks. Each agent has an associated mean service time and a mean review time for servicing and reviewing the tasks, respectively. Agents receive a reward based on their service and review admission rates. The team objective is to collaboratively maximize the number of serviced and reviewed tasks. We formulate a common-pool resource game, and design uti...
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作者：Meng, Min; Xiao, Gaoxi
作者单位：Tongji University; Tongji University; Nanyang Technological University
摘要：This article investigates the state distribution of Markovian jump Boolean networks subject to stochastic disturbances based on the measured outputs. The considered disturbances are modeled as independent and identically distributed processes with known probability distributions. An iterative algorithm is proposed to compute conditional probability distributions of the current state and one-step predicted state based on the knowledge of the output measurements. The obtained conditional probabi...
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作者：Paternain, Santiago; Calvo-Fullana, Miguel; Chamon, Luiz F. O.; Ribeiro, Alejandro
作者单位：Massachusetts Institute of Technology (MIT); University of California System; University of California Berkeley; University of Pennsylvania
摘要：In this article, we study the design of controllers in the context of stochastic optimal control under the assumption that the model of the system is not available. This is, we aim to control a Markov decision process of which we do not know the transition probabilities, but we have access to sample trajectories through experience. We define safety as the agent remaining in a desired safe set with high probability during the operation time. The drawbacks of this formulation are twofold. The pr...
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作者：Yao, Weijia; Lin, Bohuan; Anderson, Brian D. O.; Cao, Ming
作者单位：University of Groningen; University of Groningen; Australian National University
摘要：A path-following control algorithm enables a system's trajectories under its guidance to converge to and evolve along a given geometric desired path. There exist various such algorithms, but many of them can only guarantee local convergence to the desired path in its neighborhood. In contrast, the control algorithms using a well-designed guiding vector field can ensure almost global convergence of trajectories to the desired path; here, almost means that in some cases, a measure-zero set of tr...
