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作者：Tie, Lin
作者单位：Beihang University
摘要：Lie algebra methods are powerful for studying controllability of continuous-time nonlinear systems and most controllability criteria of continuous-time nonlinear systems are Lie-algebraic conditions. However, the Lie-algebraic conditions are in general difficult to verify if the system dimension is high. In this article, we propose a new perspective to study controllability of continuous-time bilinear systems without using the Lie-algebraic conditions. Specifically, we first consider controlla...
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作者：Teranishi, Kaoru; Sadamoto, Tomonori; Chakrabortty, Aranya; Kogiso, Kiminao
作者单位：University of Electro-Communications - Japan; Japan Society for the Promotion of Science; North Carolina State University
摘要：In the state-of-the-art literature on cryptography and control theory, there has been no systematic methodology of constructing cyber-physical systems that can achieve the desired control performance while being protected against eavesdropping attacks. In this article, we tackle this challenging problem. We first propose two novel notions referred to as sample identifying complexity and sample deciphering time in an encrypted control framework. The former explicitly captures the relation betwe...
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作者：Pan, Xiaowei; Liu, Zhongxin; Chen, Zengqiang
作者单位：Nankai University
摘要：The alternating direction method of multipliers (ADMM) has seen much progress in the literature in recent years. Usually, linear convergence of distributed ADMM is proved under either second-order conditions or strong convexity. When both conditions fail, an alternative is expected to play the role. In this article, it is shown that distributed ADMM can achieve a linear convergence rate by imposing metric subregularity on a defined mapping. Furthermore, it is proved that both second-order cond...
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作者：Sun, Liangjie; Ching, Wai-Ki
作者单位：University of Hong Kong
摘要：In this article, we consider stabilization and reconstruction of sampled-data Boolean control networks (BCNs) under noisy sampling interval. A sampled-data BCN under noisy sampling interval is first converted into a probabilistic Boolean network (PBN). We then obtain some necessary and sufficient conditions for global stochastic stability of the considered sampled-data BCN under two types of noisy sampling intervals. However, in analyzing the stochastic stability of large-scale sampled-data BC...
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作者：Wang, Yongqiang; Poor, H. Vincent
作者单位：Clemson University; Princeton University
摘要：Decentralized stochastic optimization is the basic building block of modern collaborative machine learning, distributed estimation and control, and large-scale sensing. Since involved data usually contain sensitive information like user locations, healthcare records, and financial transactions, privacy protection has become an increasingly pressing need in the implementation of decentralized stochastic optimization algorithms. In this article, we propose a decentralized stochastic gradient des...
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作者：Dong, Zhiyuan; Zhang, Guofeng; Wu, Ai-Guo; Wu, Re-Bing
作者单位：Harbin Institute of Technology; Hong Kong Polytechnic University; Hong Kong Polytechnic University; Harbin Institute of Technology; Tsinghua University
摘要：purpose of this article is to present a comprehensive study of the Tavis-Cummings model from a system-theoretic perspective. A typical form of the Tavis- Cummings model is composed of an ensemble of non-interacting two-level systems (TLSs) that are collectively coupled to a common cavity resonator. The associated quantum linear passive system is proposed, whose canonical form reveals typical features of the Tavis-Cummings model, including vN- scaling, dark states, bright states, single-excitat...
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作者：Xu, Xiang; Liu, Lu; Krstic, Miroslav; Feng, Gang
作者单位：City University of Hong Kong; University of California System; University of California San Diego
摘要：This article proposes two low-gain controllers for systems with distributed input dynamics, governed by diffusion equations with counter convection. It is shown that the considered PDE-ODE cascade system can be exponentially stabilized with the proposed low-gain controllers as long as the open-loop plant is not exponentially unstable. A key advantage of the proposed controllers is their much simplified form in comparison with the existing backstepping-designed controllers developed for the sam...
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作者：Zhang, Dan; Deng, Chao; Feng, Gang
作者单位：Zhejiang University of Technology; Nanjing University of Posts & Telecommunications; City University of Hong Kong
摘要：The resilient cooperative output regulation problem for a class of uncertain nonlinear multiagent systems (MASs) under denial-of-service (DoS) attacks is addressed in this article. This is the first attempt to investigate the cooperative output regulation problem for nonlinear MASs under DoS attacks, and a novel distributed control scheme consisting of a resilient distributed observer and a distributed adaptive controller is proposed. Specifically, a novel resilient distributed observer in the...
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作者：Orlov, Yury; Kairuz, Ramon I. Verdes
摘要：Novel output feedback stabilization is developed for a chain of integrators to impose on the closed-loop system an a priori given settling-time bound regardless of the initial state. The intended design is deduced from fixed-time stabilization using a proportional time-space scaling. The resulting nonsmooth feedback relies on time-independent gains thereby admitting its straightforward implementation as opposed to the original design (Song et al., 2017) with time-varying gains, escaping to inf...
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作者：Shafa, Taha; Ornik, Melkior
作者单位：University of Illinois System; University of Illinois Urbana-Champaign; University of Illinois System; University of Illinois Urbana-Champaign
摘要：Determining the reachable set for a given nonlinear control system is crucial for system control and planning. However, computing such a set is impossible if the system's dynamics are not fully known. This article is motivated by a scenario where a system suffers an adverse event mid-operation, resulting in a substantial change to the system's dynamics, rendering them largely unknown. Our objective is to conservatively approximate the system's reachable set solely from its local dynamics at a ...
