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作者：He, Changran; Huang, Jie
作者单位：Chinese University of Hong Kong
摘要：In this article, we study the leader-following consensus problem for multiple Euler-Lagrange (EL) systems with natural damping over static and connected communication networks by a distributed position feedback control law. By combining the adaptive distributed observer for a leader system and the dynamic compensator technique for dealing with a single EL system by position feedback control, we synthesize a distributed position feedback control law and show that this control law solves the lea...
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作者：Ramaswamy, Karthik Raghavan; Van den Hof, Paul M. J.
作者单位：Eindhoven University of Technology
摘要：The identification of local modules in dynamic networks with known topology has recently been addressed by formulating conditions for arriving at consistent estimates of the module dynamics, under the assumption of having disturbances that are uncorrelated over the different nodes. The conditions typically reflect the selection of a set of node signals that are taken as predictor inputs in an multiple-input-single-output (MISO) identification setup. In this paper an extension is made to arrive...
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作者：Wang, Bing-Chang; Zhang, Huanshui
作者单位：Shandong University; Shandong University of Science & Technology
摘要：This article studies uniform stabilization and social optimality for linear quadratic (LQ) mean field control problems with multiplicative noise, where agents are coupled via dynamics and individual costs. The state and control weights in cost functionals are not limited to be positive semidefinite. This leads to an indefinite LQ mean field control problem, which may still be well-posed due to deep nature of multiplicative noise. We first obtain a set of forward-backward stochastic differentia...
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作者：Ahmadi, Mohamadreza; Jansen, Nils; Wu, Bo; Topcu, Ufuk
作者单位：California Institute of Technology; Radboud University Nijmegen; University of Texas System; University of Texas Austin
摘要：Partially observable Markov decision processes (POMDPs) provide a modeling framework for a variety of sequential decision making under uncertainty scenarios in artificial intelligence (AI). Since the states are not directly observable in a POMDP, decision making has to be performed based on the output of a Bayesian filter (continuous beliefs); hence, making POMDPs intractable to solve and analyze. To overcome the complexity challenge of POMDPs, we apply techniques from the control theory. Our ...
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作者：Jin, Jiangliang; Hao, Liangliang; Xu, Yunjian; Wu, Junjie; Jia, Qing-Shan
作者单位：Chinese University of Hong Kong; Chinese University of Hong Kong; Tsinghua University
摘要：We study the joint scheduling of deferrable demands (e.g., the charging of electric vehicles) and storage systems in the presence of random supply, demand arrivals, processing costs, and subject to processing rate limit constraint. We formulate the scheduling problem as a dynamic program so as to minimize the expected total cost, the sum of processing costs, and the noncompletion penalty (incurred when a task is not fully processed by its deadline). Under mild assumptions, we characterize an o...
