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作者：Zhu, Xun-Lin; Zhang, Xiuxiu; Wei, Jumei; Lin, Hai
作者单位：Zhengzhou University; University of Notre Dame
摘要：Event-triggered control (ETC) has been proposed in the networked control systems (NCSs) literature to reduce the need of data transmissions, and the main focus has been on the design of ETC mechanisms with a guaranteed positive minimum of interevent time (MIET), and hence avoiding Zeno phenomena. In this article, we propose a design of an aperiodic ETC mechanism for general nonlinear NCSs. In our setup, the communication network could introduce variable transmission delays, while data packets ...
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作者：Lee, Donggun; Tomlin, Claire J.
作者单位：University of California System; University of California Berkeley; University of California System; University of California Berkeley
摘要：This article considers two state-constrained reachability problems: computing 1) control-invariant and 2) reach-avoid sets, both under state constraints. Prior research has developed Hamilton-Jacobi (HJ) partial differential equations (PDEs) that characterize the optimal cost functions of these two problems. Unfortunately, solving the HJ PDEs by grid-based methods, such as level-set methods, suffers from exponentially growing computational complexity in the system state dimension. In order to ...
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作者：De Persis, Claudio; Rotulo, Monica; Tesi, Pietro
作者单位：University of Groningen; University of Groningen; University of Florence
摘要：In this article, we introduce a method to deal with the data-driven control design of nonlinear systems. We derive conditions to design controllers via (approximate) nonlinearity cancelation. These conditions take the compact form of data-dependent semidefinite programs. The method returns controllers that can be certified to stabilize the system even when data are perturbed and disturbances affect the dynamics of the system during the execution of the control task, in which case an estimate o...
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作者：Zhang, Jin; Liu, Lu; Wang, Xinghu; Ji, Haibo
作者单位：Chinese Academy of Sciences; University of Science & Technology of China, CAS; City University of Hong Kong; City University of Hong Kong
摘要：This note investigates the distributed optimal resource allocation problem of multiagent systems over unbalanced directed networks under the relaxed condition that the gradients of local cost functions are locally Lipschitz. The objective is to cooperatively drive the decision variables of the agents to the optimal solution, which minimizes the sum of the local cost functions, while ensuring that the network resource constraints and local feasibility constraints are satisfied. A novel distribu...
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作者：Li, Zhen; Jiang, Yao-Lin
作者单位：Xi'an Jiaotong University
摘要：In this article, based on discrete orthogonal polynomials and the block $\epsilon$-circulant matrix, we explore a parallel input-independent model order reduction method, which is suitable for the single-input discrete-time systems characterizing nonaffine uncertainty about a scalar parameter. With the explicit difference relations of Charlier polynomials, Meixner polynomials, and Krawtchouk polynomials, the expansion coefficients of the state variable are obtained. Furthermore, we derive an i...
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作者：Mao, Yanwen; Tabuada, Paulo
作者单位：University of California System; University of California Los Angeles
摘要：This article addresses the problem of decentralized state-tracking in the presence of sensor attacks. We consider a network of nodes where each node has the objective of tracking the state of a linear dynamical system based on its measurements and messages exchanged with neighboring nodes notwithstanding some measurements being spoofed by an adversary. We propose a novel decentralized attack-resilient state-tracking algorithm based on the simple observation that a compressed version of all the...
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作者：Mei, Wenjie; Efimov, Denis; Ushirobira, Rosane; Fridman, Emilia
作者单位：Inria; Universite de Lille; Centre National de la Recherche Scientifique (CNRS); ITMO University; Tel Aviv University
摘要：In this article, input-to-state stability and stabilization conditions in time-delay generalized Persidskii systems are studied. These conditions are formulated in terms of linear matrix inequalities, which may depend on delay values, and be local or global in state-space. Numerical examples of opinion dynamics and the Lotka-Volterra model illustrate the efficiency of the proposed results.
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作者：Reisizadeh, Hadi; Touri, Behrouz; Mohajer, Soheil
作者单位：University of Minnesota System; University of Minnesota Twin Cities; University of California System; University of California San Diego
摘要：We study strongly convex distributed optimization problems where a set of agents are interested in solving a separable optimization problem collaboratively. In this article, we propose and study a two-time-scale decentralized gradient descent algorithm for a broad class of lossy sharing of information over time-varying graphs. One time-scale fades out the (lossy) incoming information from neighboring agents, and one time-scale regulates the local loss functions' gradients. We show that assumin...
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作者：Li, Yongming; Li, Yuan-Xin; Tong, Shaocheng
作者单位：Liaoning University of Technology
摘要：In this article, an adaptive neural finite-time event-triggered consensus tracking problem is studied for nonlinear multiagent systems (MASs) under directed graphs. First, the unknown nonlinear functions of MASs can be approximated by neural networks. Then, a distributed adaptive event-triggered control scheme is proposed via command filter and backstepping technique. The newly designed control scheme cannot only circumvent the problem of the explosion of complexity, but also remove the singul...
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作者：Lederer, Armin; Yang, Zewen; Jiao, Junjie; Hirche, Sandra
作者单位：Technical University of Munich; Technical University of Munich; Harbin Engineering University
摘要：For single agent systems, probabilistic machine learning techniques such as Gaussian process regression have been shown to be suitable methods for inferring models of unknown nonlinearities, which can be employed to improve the performance of control laws. While this approach can be extended to the cooperative control of multiagent systems, it leads to a decentralized learning of the unknown nonlinearity, i.e., each agent independently infers a model. However, decentralized learning can potent...
