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作者：Ye, Hefu; Song, Yongduan; Zhang, Zhirong; Wen, Changyun
作者单位：Chongqing University; Nanyang Technological University
摘要：It is practically interesting to achieve global event-triggered control for mismatched uncertain nonlinear systems subject to sensor and actuator faults. In this article, we present a low-conservative solution and consider the output-feedback scenario. The design and analysis innovations include the following: 1) by using a scaling transformation with its gain being online tuned dynamically, we convert the original system with constant coefficients into one with dynamic coefficients, allowing ...
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作者：van Waarde, Henk J.; Eising, Jaap; Camlibel, M. Kanat; Trentelman, Harry L.
作者单位：University of Groningen; University of California System; University of California San Diego
摘要：This article deals with data-driven stability analysis and feedback stabilization of linear input-output systems in autoregressive (AR) form. We assume that noisy input-output data on a finite time-interval have been obtained from some unknown AR system. Data-based tests are then developed to analyze whether the unknown system is stable, or to verify whether a stabilizing dynamic feedback controller exists. If so, stabilizing controllers are computed using the data. In order to do this, we emp...
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作者：Bastianello, Nicola; Carli, Ruggero; Zampieri, Sandro
作者单位：Royal Institute of Technology; University of Padua
摘要：In this article, we propose a model-based approach to the design of online optimization algorithms, with the goal of improving the tracking of the solution trajectory (trajectories) w.r.t. state-of-the-art methods. We focus first on quadratic problems with a time-varying linear term, and use digital control tools (a robust internal model principle) to propose a novel online algorithm that can achieve zero tracking error by modeling the cost with a dynamical system. We prove the convergence of ...
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作者：Dong, Weijie; Yin, Xiang; Li, Shaoyuan
作者单位：Shanghai Jiao Tong University; Shanghai Jiao Tong University
摘要：However, the notion of fairness is different from our setting here. Specifically, existing works assume that the dynamic of the system is fair in the sense that each transition can be executed for infinite number of times whenever it is enabled infinitely. However, the observation mappings considered therein are still statically modeled as a natural projection. In contrast, we impose fairness constraint on the observation mapping rather than the internal behavior of the system the system's dyn...
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作者：Sultangazin, Alimzhan; Pannocchi, Luigi; Fraile, Lucas; Tabuada, Paulo
作者单位：University of California System; University of California Los Angeles; University of California System; University of California Los Angeles; Scuola Superiore Sant'Anna
摘要：this article, we revisit the problem of learning a stabilizing controller from a finite number of demonstrations by an expert. By first focusing on feedback linearizable systems, we show how to combine expert demonstrations into a stabilizing controller, provided that demonstration trajectories are sufficiently long and there are at least n + 1 of them, where n is the number of states of the system being controlled. When we have more than n + 1 demonstration trajectories, we discuss how to opt...
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作者：Xu, Jiapeng; Gu, Guoxiang; Chen, Xiang
作者单位：University of Windsor; Louisiana State University System; Louisiana State University
摘要：This article proposes a new approach to studying the delay margin problem for general unstable linear time-invariant (LTI) systems, which addresses the question: What is the largest stabilizable delay range over all LTI controllers? The proposed approach converts the delay margin to the robust stabilization for LTI systems involving a positive uncertain parameter. The conformal mapping and Nevanlinna-Pick interpolation are employed to develop a unified numerical procedure for computing upper a...
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作者：Xue, Bai; Zhan, Naijun; Fraenzle, Martin; Wang, Ji; Liu, Wanwei
作者单位：Chinese Academy of Sciences; Institute of Software, CAS; Carl von Ossietzky Universitat Oldenburg; National University of Defense Technology - China
摘要：In this article, we propose novel sufficient conditions for verifying reach-avoid properties of continuous-time systems modeled by ordinary differential equations. Given a system, an initial set, a safe set, and a target set of states, we say that the reach-avoid property holds if, for all initial conditions in the initial set, any trajectory of the system starting at them will eventually, i.e., in unbounded yet finite time, enter the target set while remaining inside the safe set until that f...
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作者：Zhang, Yuan; Xia, Yuanqing; Zhan, Yufeng
作者单位：Beijing Institute of Technology
摘要：This article investigates several cost-sparsity-induced optimal input selection problems for structured systems. Given an autonomous system and a prescribed set of input links, where each input link has a nonnegative cost, the problems include selecting the minimum cost of input links and selecting the input links with the smallest possible cost while bounding their cardinality to achieve system structural controllability. Current studies show that in the dedicated input case, the former probl...
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作者：Deutscher, Joachim
作者单位：Ulm University
摘要：This article deals with the data-driven robust output regulation for continuous-time linear time-invariant (LTI) systems. Both the system and the signal form of disturbances are unknown. It is assumed that input-output data on a finite-time interval are available for the system in the presence of disturbances. By making use of the Koopman operator theory, the Koopman eigenvalues and modes of the system and the disturbance model are determined by applying the Krylov dynamic mode decomposition t...
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作者：Jafarpour, Saber; Harapanahalli, Akash; Coogan, Samuel
作者单位：University of Colorado System; University of Colorado Boulder; University System of Georgia; Georgia Institute of Technology
摘要：In this article, we propose a computationally efficient framework for interval reachability of systems with neural network controllers. Our approach leverages inclusion functions for the open-loop system and the neural network controller to embed the closed-loop system into a larger dimensional embedding system, where a single trajectory overapproximates the original system's behavior under uncertainty. We propose two methods for constructing closed-loop embedding systems, which account for th...
