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作者：She, Baike; Mehta, Siddhartha; Ton, Chau; Kan, Zhen
作者单位：University of Iowa; Southwest Research Institute; Chinese Academy of Sciences; University of Science & Technology of China, CAS
摘要：This article investigates energy-related controllability of complex networks. Specifically, our objective is to establish controllability characteristics on signed complex networks, where the network units interact via neighbor-based Laplacian feedback and the network admits positive and negative edges to capture cooperative and competitive interactions among these units. The network units can be classified into leaders and followers. This article focuses on characterizing the energy-related c...
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作者：Dai, Jiajun; Geng, Na; Xie, Xiaolan
作者单位：Shanghai Jiao Tong University; Shanghai Jiao Tong University; IMT - Institut Mines-Telecom; Mines Saint-Etienne; Centre National de la Recherche Scientifique (CNRS); Universite Clermont Auvergne (UCA); Shanghai Jiao Tong University
摘要：This article considers an admission quota control which determines the maximum daily admission (known as the quota) of controllable demand that shares capacity with uncontrollable demand. General arrival processes and general discrete stochastic service time are assumed. An infinite-horizon Markov decision process model is proposed to maximize the expected total discounted net reward comprising admission revenues and overcapacity costs. Through formal proofs, the optimal quota control which ma...
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作者：Yan, Yan; Yu, Shuanghe; Yu, Xinghuo
作者单位：Dalian Maritime University; Royal Melbourne Institute of Technology (RMIT)
摘要：In this article, we study the Euler's discretization effect on a sliding-mode control system with a supertwisting algorithm (STA). We start from the undisturbed STA and show that the trajectory eventually converges to an exactly bounded region around the origin. Periodic behaviors are explored. Furthermore, the discretization effect on the disturbed STA is established, and the stability analysis is given. Simulation results demonstrate the effectiveness of the proposed strategies.
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作者：Zhu, Yang; Fridman, Emilia
作者单位：Zhejiang University; Tel Aviv University
摘要：This article proposes a decentralized predictor-based output feedback to compensate for large delays in large-scale interconnected systems under the premise that the interconnections between subsystems are not strong. The full state of each subsystem is assumed to be unmeasurable and the observer-based output feedback is employed. Two methods are used to tackle the large delays: the backstepping-based partial differential equation (PDE) approach and the reduction-based ordinary differential eq...
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作者：Delimpaltadakis, Giannis; Mazo, Manuel, Jr.
作者单位：Delft University of Technology
摘要：In this article, we propose a region-based self-triggered control (STC) scheme for nonlinear systems. The state space is partitioned into a finite number of regions, each of which is associated to a uniform interevent time. The controller, at each sampling time instant, checks to which region does the current state belong, and correspondingly decides the next sampling time instant. To derive the regions along with their corresponding interevent times, we use approximations of isochronous manif...
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作者：Qi, Tian; Lu, Renquan; Chen, Jie
作者单位：South China University of Technology; Guangdong University of Technology; Guangdong University of Technology; City University of Hong Kong
摘要：This article studies the consensus problem for continuous-time linear time-invariant multiagent systems, in which the agents exchange information through delayed communication channels in a fixed undirected topology. Our primary objective is to characterize explicitly the delay effect on consensus in the framework of distributed dynamic output feedback control and its implication on the graph network connectivity. For this purpose, we tackle and solve the consensus problem in the spirit of gai...
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作者：Winterer, Leonore; Junges, Sebastian; Wimmer, Ralf; Jansen, Nils; Topcu, Ufuk; Katoen, Joost-Pieter; Becker, Bernd
作者单位：University of Freiburg; University of California System; University of California Berkeley; University of Freiburg; Radboud University Nijmegen; University of Texas System; University of Texas Austin; RWTH Aachen University
摘要：We study synthesis problems with constraints in partially observable Markov decision processes (POMDPs), where the objective is to compute a strategy for an agent that is guaranteed to satisfy certain safety and performance specifications. Verification and strategy synthesis for POMDPs are, however, computationally intractable in general. We alleviate this difficulty by focusing on planning applications and exploiting typical structural properties of such scenarios; for instance, we assume tha...
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作者：Guo, Yuqian; Shen, Yawen; Gui, Weihua
作者单位：Central South University
摘要：This article presents an investigation of the asymptotical set stability (ASS) of logic dynamical systems (LDSs) with impulsive disturbances at random instants. Unlike ordinary probabilistic Boolean networks, such an impulsive LDS is not Markovian in general. In this article, an impulsive LDS is described by using a hybrid index model and the sequence of intervals between adjacent impulsive instants is assumed to be independent and identically distributed. Under this assumption, the subsequenc...
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作者：Scandella, Matteo; Mazzoleni, Mirko; Formentin, Simone; Previdi, Fabio
作者单位：University of Bergamo; Polytechnic University of Milan
摘要：In the last decade, kernel-based learning approaches typically employed for classification and regression have shown outstanding performance also in dynamic system identification. The typical way to compute the solution of this learning problem subsumes the inversion of the kernel matrix. However, due to limited machine precision, this might not be possible in many practical applications. In this article, we analyze the aforementioned problem and show that the typical estimate is just one of t...
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作者：Chamon, Luiz F. O.; Pappas, George J.; Ribeiro, Alejandro
作者单位：University of Pennsylvania
摘要：This article considers the problem of selecting sensors in a large-scale system to minimize the error in estimating its states, more specifically, the state estimation mean-square error (MSE) and worst-case error for Kalman filtering and smoothing. Such selection problems are in general NP-hard, i.e., their solution can only be approximated in practice even for moderately large problems. Due to its low complexity and iterative nature, greedy algorithms are often used to obtain these approximat...
