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作者：Sakhaei, Negar; Maleki, Zeinab; Ramazi, Pouria
作者单位：Isfahan University of Technology; Brock University
摘要：Whether a population of decision-makers reach a state of satisfactory decisions is a fundamental problem in studying collective behaviors. In the framework of evolutionary game theory, researchers used potential functions to establish equilibration under best-response and imitation update rules by imposing conditions on the individuals' utility functions, and in turn to control the population toward a desired equilibrium. Nevertheless, finding a potential function is often daunting, if not nea...
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作者：Zhang, Jing; Lu, Jianquan; Hadjicostis, Christoforos N.
作者单位：Southeast University - China; Southeast University - China; University of Cyprus
摘要：In this article, we study the problem of privacy-preserving average consensus from a different perspective. Previous research has mainly focused on designing privacy augmentation mechanisms for classical average consensus algorithms, which can lead to overhead (in the form of parameters exchanged between agents or extra privacy operations). Motivated by the framework of expressed and private opinions within social networks, we propose an alternative iterative algorithm to simultaneously update...
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作者：Wang, Le Yi; Yin, George; Lin, Feng; Polis, Michael P.; Chen, Wen
作者单位：Wayne State University; University of Connecticut; Oakland University; Wayne State University
摘要：This article investigates state feedback design for achieving almost-sure robust stabilization of randomly switched linear systems whose subsystems are uncontrollable and whose models are subject to nonlinear modeling errors due to, for example, linearization. Complex systems are often uncontrollable under a fixed configuration from a single control input. However, when control actions can be used sequentially and collaboratively through different system configurations, stabilization can be po...
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作者：Fotiadis, Filippos; Rovithakis, George A.
作者单位：University System of Georgia; Georgia Institute of Technology; Aristotle University of Thessaloniki
摘要：For a class of uncertain, multiple-input-multiple-output nonlinear systems, we consider the problem of prescribed performance tracking control under strict control input constraints. By prescribed performance, we mean that outputs of the system should track the given reference signals, with tracking errors confined within a user-specified performance envelope. However, as the controller imposing this desirable behavior is subject to inelastic control input constraints, the reference signals ar...
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作者：Zhao, Ren-Xi; Guo, Bao-Zhu
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; North China Electric Power University
摘要：In this article, the output regulation for a 1-D wave equation where the disturbances generated from an unknown finite-dimensional exosystem appear in all possible channels is studied. The system is first transformed into a new system for which the disturbance appears in tracking error only. An adaptive observer approach is adopted in investigation to estimate all possible unknown frequencies that have entered into a transformed new system. By the estimates of the unknown frequencies, we are a...
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作者：Fotiadis, Filippos; Vamvoudakis, Kyriakos G.; Jiang, Zhong-Ping
作者单位：University System of Georgia; Georgia Institute of Technology; New York University; New York University Tandon School of Engineering
摘要：In this article, we consider the problem of optimally augmenting an actuator redundant system with additional actuators, so that the energy required to meet a given control objective is minimized. We study this actuator selection problem in two distinct cases; first, in the case where the control objective of the system is not known a priori, and second, in the case where the control objective is a linear state-feedback control law. In the latter scenario, knowledge of the system's state and i...
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作者：Hosseinzadeh, Mehdi; Sinopoli, Bruno; Kolmanovsky, Ilya; Baruah, Sanjoy
作者单位：Washington State University; Washington University (WUSTL); University of Michigan System; University of Michigan; Washington University (WUSTL)
摘要：Model predictive control (MPC) is a popular control approach to ensure constraint satisfaction, while minimizing a cost function. Although MPC usually leads to very good results in terms of performance, its computational overhead is typically nonnegligible, and its implementation for systems where the computing capacity is limited may be impossible. To address this issue, this technical note proposes a robust-to-early termination MPC. That is, the proposed scheme runs until available time for ...
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作者：Lu, Kaihong; Wang, Hongxia; Zhang, Huanshui; Wang, Long
作者单位：Shandong University of Science & Technology; Peking University
摘要：In this article, the problem of distributed optimization with nonconvex objective functions is studied by employing a network of agents. Each agent only has access to a noisy estimate on the gradient of its own objective function, and can only communicate with its immediate neighbors via a time-varying directed graph. To handle this problem, a distributed stochastic gradient descent algorithm is adopted. Existing works on distributed algorithms involving stochastic gradients only provide conve...
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作者：Maghenem, Mohamed; Karaki, Diana
作者单位：Communaute Universite Grenoble Alpes; Institut National Polytechnique de Grenoble; Universite Grenoble Alpes (UGA); Centre National de la Recherche Scientifique (CNRS)
摘要：A dynamical system is strongly robustly safe provided that it remains safe in the presence of a continuous and positive perturbation, named robustness margin, added to both the argument and the image of the right-hand side (the dynamics). Therefore, in comparison with existing robust-safety notions, where the continuous and positive perturbation is added only to the image of the right-hand side, the proposed notion is shown to be relatively stronger in the context of set-valued right-hand side...
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作者：Rosinger, Christian A.; Scherer, Carsten W.
作者单位：University of Stuttgart
摘要：This work presents a framework to synthesize structured gain-scheduled controllers for structured plants whose dynamics change according to time-varying scheduling parameters. Both the system and the controller are assumed to admit descriptions in terms of a linear time-invariant system in feedback with the so-called scheduling blocks, which collect all the scheduling parameters into a static system. We show that such linear fractional representations permit to exploit a so-called lifting tech...
