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作者：Zhang, Wentao; Zuo, Zhiqiang; Zhao, Rui; Wang, Yijing; Hu, Guoqiang; Zhang, Hui; Wang, Yaonan
作者单位：Hunan University; Nanyang Technological University; Tianjin University; Nanyang Technological University; Hunan University; Hunan University
摘要：This note focuses on the issue of whether or not the state of a plant can be estimated when the inputs of communication channel involve noise and disturbance simultaneously. It turns out to calculate the maximum capacity of stationary memoryless M-MQAC under nonstochastic information theory. It is shown that the maximum information rate over such a channel is determined by a convex hull spanned by the zero-error capacities, which are specified on the underlying sample spaces. Moreover, the sta...
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作者：Cai, Mingyu; Vasile, Cristian-Ioan
作者单位：University of California System; University of California Riverside; Lehigh University
摘要：Reinforcement learning (RL) is a promising control approach in many scenarios. However, safety-critical applications are still a challenge due to lack of safety guarantees during exploration and subsequent deployment. The learning problem becomes even more difficult for complex tasks with temporal and logical constraints. In this article, we introduce a modular deep RL architecture as a control framework to satisfy complex tasks specified using linear temporal logic (LTL). To enhance safety, w...
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作者：Meng, Deyuan; Zhang, Jingyao
作者单位：Beihang University; Beihang University
摘要：This article presents a distributed learning approach to achieve the high-precision cooperative trajectory tracking tasks for heterogeneous networks at all time in the presence of changing topologies. An updating law of distributed learning is proposed by leveraging the cooperative tracking error trajectories of agents at all time samples, thanks to which a monotonic convergence result is established for heterogeneous networks of linear agents without iteration-varying uncertainties. When cons...
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作者：Wakaiki, Masashi
作者单位：Kobe University
摘要：We propose self-triggered control schemes for nonlinear systems with quantized state measurements. Our focus lies on scenarios where both the controller and the self-triggering mechanism receive only the quantized state at each sampling time. We assume that the ideal closed-loop system without quantization or self-triggered sampling is contracting. Moreover, an upper bound on the growth rate of the open-loop system is assumed to be known. We present two control schemes that achieve closed-loop...
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作者：Shang, Jun; Li, Yuzhe; Chen, Tongwen
作者单位：Tongji University; Tongji University; Northeastern University - China; University of Alberta
摘要：This article investigates stealthy attacks on sampled-data control systems, where a continuous process is sampled periodically, and the resultant discrete output and control signals are transmitted through dual channels in wireless communication networks. Acknowledging the vulnerability of these transmitted data to cyber threats, we analyze two types of stealthy attacks that compromise either one or both channels. We explicitly present the necessary and sufficient conditions for the existence ...
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作者：Gao, Yan; Bai, Chenggang; Quan, Quan
作者单位：Beihang University; Tiangong University; Tianmushan Lab
摘要：To guide a robotic swarm in a cluttered environment, a curved virtual tube is proposed in our previous work. In this article, the swarm controller design is generalized to the condition that all robots have field-of-view (FOV) constraints. Two distributed vector field controllers are proposed for different objectives. One controller focuses on the robots' safety in theory, while the other focuses on the feasibility in real practice at the cost of sacrificing safety slightly. Different from exi...
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作者：Luan, Xiaoli; Xue, Wei; Zhao, Shunyi; Liu, Fei
作者单位：Jiangnan University
摘要：A cofilter by collaboration of Kalman filter and fading memory filter improves the filter estimation performance for uncertain systems. Specifically, the influence function is utilized to quantify the influence of uncertainty on estimation performance, forming the self-perception mechanism. Then, the cofilter takes the Kalman filter as the robust lower bound and the fading memory filter as the robust upper bound and adjusts the robust parameters based on the self-perception mechanism to form a...
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作者：Wang, Jiamin; Liu, Jian; Xiao, Feng; Zheng, Yuanshi
作者单位：Xidian University; North China Electric Power University
摘要：It has been reported that local memory information could enhance certain consensus performance of multiagent networks, such as protecting privacy and accelerating consensus. This article aims to investigate whether memory information can improve the robustness and scalability of consensus networks. The robustness is measured by the & ell;(2) gains from disturbances to consensus errors, and the scalability means that consensus can be preserved without retuning control parameters as the network ...
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作者：Ju, Yanhao; Reis, Joel; Sun, Yuangong; Silvestre, Carlos
作者单位：Qilu University of Technology; Qilu University of Technology; University of Macau; University of Jinan; Universidade de Lisboa
摘要：In this technical note, we investigate the stability of discrete-time 2-D linear inhomogeneous systems. Specifically, we establish sufficient conditions that guarantee both asymptotic and exponential stability. Compared to existing results, the conditions presented here relax the requirement for the negative definiteness of differences in (piecewise) Lyapunov functions, allowing these functions to grow over certain periods. Numerical examples are provided to illustrate the theoretical findings.
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作者：Razaq, Muhammad Ahsan; Altafini, Claudio
作者单位：Linkoping University
摘要：The aim of this article is to investigate how opinions propagate in presence of stubborn behavior (i.e., agents that tend to defend their stance) and of signed (i.e., antagonistic) interactions among the agents. The stability properties of the resulting system, denoted signed Friedkin-Johnsen (SFJ) model, are studied in detail, and also the convergence to consensus for a concatenation of such SFJ models. A noteworthy feature of the SFJ model is that the opinion dynamics need not be confined to...
