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作者：Miangolarra, Olga Movilla; Taghvaei, Amirhossein; Georgiou, Tryphon T.
作者单位：University of California System; University of California Irvine; University of Washington; University of Washington Seattle
摘要：Anisotropy in temperature, chemical potential, or ion concentration, provides the fuel that feeds dynamical processes that sustain life. At the same time, anisotropy is a root cause of incurred losses manifested as entropy production. In this work we study how to minimize such entropic losses using the framework of stochastic optimal control. Specifically, we consider a rudimentary model of an overdamped stochastic thermodynamic system that is in contact with heat baths of different temperatur...
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作者：Riz, Francesco; Palopoli, Luigi; Fontanelli, Daniele
作者单位：University of Trento; University of Trento
摘要：We propose a global constructibility analysis for a vehicle moving on a planar surface. Assuming that the vehicle follows a trajectory that can be uniquely identified by the sequence of control inputs and by some intermittent ranging measurements from known points in the environment, we can model the trajectory as a rigid body subject to rotation and translation in the plane. This way, the localization problem can be reduced to finding the conditions for the existence of a unique roto-translat...
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作者：Xu, Liang; Su, Youfeng; Cai, He
作者单位：Fuzhou University; Southern University of Science & Technology; South China University of Technology
摘要：This article studies the cooperative tracking control problem for multiple mobile robots over a directed communication network. First, it is shown that the closed-loop system is uniformly globally asymptotically stable under the proposed distributed continuous feedback control law, where an explicit strict Lyapunov function is constructed. Then, by investigating the convergence rate, it is further proven that the closed-loop system is globally K-exponentially stable. Moreover, to make the prop...
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作者：Sawamura, Riki; Hayashi, Naoki; Inuiguchi, Masahiro
作者单位：University of Osaka
摘要：This article addresses distributed constrained convex optimization in open multiagent systems characterized by dynamic and unpredictable changes in their structural components and active participants. Such systems, often found in many networked infrastructures, have an openness property, wherein the configuration and the number of active agents vary significantly. This article considers a distributed online algorithm to estimate a dynamic optimal strategy that minimizes a dynamic regret and a ...
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作者：Angeli, David; Manfredi, Sabato
作者单位：Imperial College London; University of Florence; University of Naples Federico II
摘要：In the scientific literature of the past two decades many conditions to assess consensus-ability in multiagent networks with 1-to-1 interactions have been proposed. More recently the framework has been extended to include the m-to-1 type-interactions, referred as joint-agent interactions. In this article, we consider a novel framework of networks with 1-to-n interactions, potentially extendable to m-to-n ones, and formulate sufficient and necessary analytical conditions for consensus-ability. ...
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作者：Mesquita, Alexandre R.
作者单位：Universidade Federal de Minas Gerais
摘要：Model estimates obtained from traditional subspace identification methods may be subject to significant variance. This elevated variance is aggravated in the cases of high-dimensional models, limited sample size, or high noise level. Common solutions in statistics to reduce the effect of variance are regularized estimators, shrinkage estimators, and Bayesian estimation. In the current work, we investigate the latter two solutions, which are relatively unexplored in subspace identification meth...
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作者：Kawano, Yu; Moreschini, Alessio; Cucuzzella, Michele
作者单位：Hiroshima University; Imperial College London; University of Groningen
摘要：In this article, we establish the novel concept of Krasovskii passivity for sampled discrete-time nonlinear systems, utilizing Krasovskii passivity for control design under sampling. We consider two separate control objectives: stabilization and output consensus, where the latter is studied under the presence of an unknown constant disturbance. Drawing inspiration from established methodologies in the continuous-time domain, we design sampled-data control schemes for each control objective, le...
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作者：Luo, Xiaoyu; Fang, Chongrong; He, Jianping; Zhao, Chengcheng; Paccagnan, Dario
作者单位：Shanghai Jiao Tong University; Zhejiang University; Zhejiang University; Imperial College London
摘要：Security issues have gathered growing interest within the control systems community, as physical components and communication networks are increasingly vulnerable to cyber attacks. In this context, recent literature has studied increasingly sophisticated false data injection attacks, with the aim to design mitigative measures that improve the systems' security. Notably, data-driven attack strategies-whereby the system dynamics is oblivious to the adversary-have received increasing attention. H...
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作者：Mitra, Aritra
作者单位：North Carolina State University
摘要：We study the finite-time convergence of temporal- difference (TD) learning with linear function approximation under Markovian sampling. Existing proofs for this setting either assume a projection step in the algorithm to simplify the analysis, or require a fairly intricate argument to ensure stability of the iterates. We ask: Is it possible to retain the simplicity of a projection-based analysis without actually performing a projection step in the algorithm? Our main contribution is to show th...
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作者：Capone, Alexandre; Brudigam, Tim; Hirche, Sandra
作者单位：Carnegie Mellon University; Technical University of Munich; Technical University of Munich
摘要：Solving chance-constrained stochastic optimal control problems is a significant challenge in control. This is because no analytical solutions exist for up to a handful of special cases. A common and computationally efficient approach for tackling chance-constrained stochastic optimal control problems consists of a deterministic reformulation, where hard constraints with an additional constraint-tightening parameter are imposed on a nominal prediction that ignores stochastic disturbances. Howev...
