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作者:Falconi, Lucia; Ferrante, Augusto
作者单位:Swiss Federal Institutes of Technology Domain; ETH Zurich; University of Padua
摘要:In this article we consider positive real linear systems with the only (mild) assumption that the associated transfer matrix is meromorphic at infinity. Under this only assumption, we establish two different conditions that are necessary and sufficient for the system to be strictly positive real and regular. These conditions are very easy to test/enforce even for nonrational transfer matrices. The main motivation for our work comes from the results on closed-loop stability of linear and nonlin...
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作者:Lin, Liquan; Huang, Jie
作者单位:Chinese University of Hong Kong
摘要:The existing result on the cooperative output regulation problem for unknown linear multiagent systems using the data-driven distributed internal model approach is limited to the case where each follower is a single-input and single-output system, and the communication network among all agents is an acyclic static digraph. In this article, we further address the same problem for unknown linear multiagent systems with multi-input and multi-output followers over a general static and connected di...
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作者:Ma, Ling; Andrieu, Vincent; Astolfi, Daniele; Bajodek, Mathieu; Xu, Cheng-Zhong; Lou, Xuyang
作者单位:Jiangnan University; Universite Lyon 1; Centre National de la Recherche Scientifique (CNRS)
摘要:In this article, we present a stabilization feedback law with integral action for conservative abstract linear systems subjected to input nonlinearities. Based on the designed control law, we first prove the well-posedness using nonlinear semigroups theory and global asymptotic stability of the origin for the closed-loop system by constructing a weak Lyapunov functional. Second, as an illustration, we apply the results to a wave equation with integral action in two different cases: bounded con...
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作者:Koelewijn, Patrick J. W.; Weiland, Siep; Toth, Roland
作者单位:Eindhoven University of Technology; HUN-REN; HUN-REN Institute for Computer Science & Control
摘要:In this article, we consider the analysis and control of continuous-time nonlinear systems to ensure universal shifted stability and performance, i.e., stability and performance w.r.t. each forced equilibrium point of the system. This equilibrium-free concept is especially beneficial for control problems that require the tracking of setpoints and rejection of persistent disturbances, such as input loads. In this article, we show how the velocity form, i.e., the time-differentiated dynamics of ...
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作者:Wang, Zifan; Gao, Yulong; Wang, Siyi; Zavlanos, Michael M.; Abate, Alessandro; Johansson, Karl H.
作者单位:Royal Institute of Technology; Imperial College London; Technical University of Munich; Duke University; University of Oxford
摘要:Distributional reinforcement learning (DRL) enhances the understanding of the effects of the randomness in the environment by letting agents learn the distribution of a random return, rather than its expected value as in standard reinforcement learning. Meanwhile, a challenge in DRL is that the policy evaluation typically relies on the representation of the return distribution, which needs to be carefully designed. In this article, we address this challenge for the special class of DRL problem...
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作者:Zhang, Junfeng; Combastel, Christophe; Efimov, Denis; Zolghadri, Ali
作者单位:Hainan University; Centre National de la Recherche Scientifique (CNRS); Universite de Bordeaux; Centre National de la Recherche Scientifique (CNRS); Inria; Universite de Lille; Institut Universitaire de France
摘要:This article investigates analysis and design problems for a class of parameter-varying generalized Persidskii systems. A model within this class is simultaneously linear in time-varying parameters as in the linear parameter-varying (LPV) framework, and contains sector nonlinearities of the state, as in Persidskii systems. The conditions for (integral) input-to-state stability and input-output-to-state stability are established. These results are developed using both, parameter-dependent and i...
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作者:Karsai, A.; Breiten, T.; Ramme, J.; Schulze, P.
作者单位:Technical University of Berlin
摘要:Passive systems are characterized by their inability to generate energy internally, providing a powerful tool for modeling physical phenomena. In addition, algebraically encoding passivity in the system description can be advantageous. For this, port-Hamiltonian systems are a prominent approach. Another possibility is writing the system in suitable coordinates. In this article, we investigate the equivalence between passivity and the feasibility of passivity encoding representations, thereby e...
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作者:Lederer, Armin; Noorani, Erfaun; Baras, John S.; Hirche, Sandra
作者单位:Swiss Federal Institutes of Technology Domain; ETH Zurich; University System of Maryland; University of Maryland College Park; University System of Maryland; University of Maryland College Park; Technical University of Munich
摘要:Humans have the ability to deviate from their natural behavior when necessary, which is a cognitive process called response inhibition. Similar approaches have independently received increasing attention in recent years for ensuring the safety of control. Realized using control barrier functions or predictive safety filters, these approaches can effectively ensure the satisfaction of state constraints through an online adaptation of nominal control laws, e.g., obtained through reinforcement le...
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作者:Portilla, Gerson; Alexandrova, Irina V.; Mondie, Sabine
作者单位:Instituto Politecnico Nacional - Mexico; CINVESTAV - Centro de Investigacion y de Estudios Avanzados del Instituto Politecnico Nacional; Saint Petersburg State University
摘要:Necessary and sufficient stability conditions for neutral type linear time delay systems are presented. Our approach relies on discretizing functionals with prescribed derivatives based on the delay Lyapunov matrix via the discretized Lyapunov functional method introduced in Gu (1997). As a result, the discretized functional is expressed as a quadratic form whose inner block matrix involves the delay Lyapunov matrix valued at discrete points. Remarkably, this matrix is connected with those pre...
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作者:Rai, Ayush; Mou, Shaoshuai
作者单位:Purdue University System; Purdue University
摘要:Multiarmed bandit algorithms provide solutions for sequential decision-making where learning takes place by interacting with the environment. In this work, we model a distributed optimization problem as a multiagent kernelized multiarmed bandit problem with a heterogeneous reward setting. In this setup, the agents collaboratively aim to maximize a global objective function, which is an average of local objective functions. The agents can access only bandit feedback (noisy reward) obtained from...