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作者:Li, Haitao; Liu, Yuna; Wang, Shuling; Niu, Ben
作者单位:Shandong Normal University; Shandong Normal University
摘要:Finding a computationally tractable method to solve the feedback stabilization problem of large-scale logical control networks (LCNs) is a challenging issue. This article combines network aggregation and algebraic state-space representation (ASSR) to solve the state feedback stabilization problem of large-scale LCNs. First, the whole network of large-scale LCNs is divided into several small subnetworks via network aggregation. Second, the mode-dependent state feedback gain is explored for the ...
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作者:Paunonen, Lassi; Le Gorrec, Yann; Ramirez, Hector
作者单位:Tampere University; Centre National de la Recherche Scientifique (CNRS); Universite Marie et Louis Pasteur; Universite de Technologie de Belfort-Montbeliard (UTBM); Universidad Tecnica Federico Santa Maria
摘要:This article studies robust output tracking and disturbance rejection for boundary-controlled infinite-dimensional Port-Hamiltonian systems including second-order models such as the Euler-Bernoulli beam equation. The control design is achieved using the internal model principle and the stability analysis using a Lyapunov approach. Contrary to existing works on the same topic, no assumption is made on the external well-posedness of the considered class of PDEs. The results are applied to robust...
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作者:Yang, Ziwen; Chen, Cailian; Zhu, Shanying; Guan, Xinping; Feng, Gang
作者单位:Shanghai Jiao Tong University; City University of Hong Kong
摘要:This article studies the distributed entrapping control problem of multiple mobile agents based on bearing and velocity measurements. A time-varying entrapping formation with a prescribed shape, which is elastic and rotational with respect to the target is adopted. Such a formation allows agents to move even in restricted areas while still entrapping the target as a whole. To achieve the entrapping formation based on bearing measurements, a leader-follower structure is adopted, and a design fr...
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作者:Cantoni, Michael; Kao, Chung-Yao; Fabbro, Mark A.
作者单位:University of Melbourne; National Sun Yat Sen University
摘要:A model is proposed for a class of asynchronous sample-and-hold operators that is relevant to the analysis of embedded and networked systems. The model is parametrized by characteristics of the corresponding time-varying input-output delay. Uncertainty in the relationship between the timing of zero-order-hold update events at the output and the possibly aperiodic sampling events at the input means that the delay does not always reset to a fixed value. This is distinct from the well-studied syn...
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作者:Doan, Thinh T.; Maguluri, Siva Theja; Romberg, Justin
作者单位:Virginia Polytechnic Institute & State University; University System of Georgia; Georgia Institute of Technology
摘要:We study gradient methods for solving distributed convex optimization problems over a network when the communication bandwidth between the nodes is limited, and so information that is exchanged between the nodes must be quantized. This imperfect communication poses a fundamental challenge, and if not properly accounted for may prevent the convergence of these algorithms. Our first contribution in this article is to propose a modified consensus-based gradient method for solving such problems us...
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作者:Ibrahim, Michael; Reveliotis, Spyros; Nazeem, Ahmed
作者单位:Egyptian Knowledge Bank (EKB); Cairo University; University System of Georgia; Georgia Institute of Technology; Facebook Inc
摘要:The problem of maximally permissive deadlock avoidance for sequential resource allocation systems (RAS) is a well-defined problem in the current controls literature. The corresponding supervisor is known as the maximally permissive deadlock avoidance policy (DAP), and it can be perceived as a classifier effecting the dichotomy of the underlying state space into its safe and unsafe subspaces. In the deployment of the maximally permissive DAP, an important issue is the selection of an effective ...
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作者:Li, Jitao; Wang, Zhenhua; Raissi, Tarek; Shen, Yi
作者单位:Harbin Institute of Technology
摘要:This article studies unknown input observer design for linear parameter-varying systems in a bounded error context. By presenting a novel unknown input observer structure, the output equation of linear parameter-varying systems is not restricted to be in a linear form. Moreover, by integrating decoupling technique and set-membership approach, a compromise is achieved between the restrictiveness and the conservativeness of estimation. Based on P-radius criteria, sufficient design conditions are...
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作者:Liu, Hao; Niu, Ben; Qin, Jiahu
作者单位:Shenyang Aerospace University; Shandong Normal University; Chinese Academy of Sciences; University of Science & Technology of China, CAS
摘要:In this article, the reachability analysis is investigated for the linear discrete-time systems in the presence of malicious cyber attacks. Moreover, the system disturbance and measurement noise are assumed to be unknown-but-bounded (UBB). Then, the attack model is built and a novel attack detector, which depends on the estimate residue is developed. Based on the stealthy cyber-attack set, reachability analysis is done, and the corresponding reachable set is computed. In order to reduce the co...
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作者:Le, Hien; Ramazi, Pouria
作者单位:University of Alberta
摘要:In anticoordination social contexts such as stock selection, resource allocation, and crowd dispersion, an individual earns more if the opponents adopt her opposite strategy. Based on their experience and available information, individuals may either evaluate all available options and decide on the most profitable one, or simply mimic successful others. These two types of decision-makers are known as best-responders and imitators, respectively. Previous studies have shown that in anticoordinat...
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作者:Cubuktepe, Murat; Jansen, Nils; Alshiekh, Mohammed; Topcu, Ufuk
作者单位:Radboud University Nijmegen; University of Texas System; University of Texas Austin
摘要:We synthesize shared control protocols subject to probabilistic temporal logic specifications. Specifically, we develop a framework in which a human and an autonomy protocol can issue commands to carry out a certain task. We blend these commands into a joint input to a robot. We model the interaction between the human and the robot as a Markov decision process representing the shared control scenario. Using inverse reinforcement learning, we obtain an abstraction of the human's behavior. We us...