-
作者：Paarporn, Keith; Chandan, Rahul; Alizadeh, Mahnoosh; Marden, Jason R.
作者单位：University of Colorado System; University of Colorado at Colorado Springs; University of California System; University of California Santa Barbara
摘要：In this article, we consider incomplete and asymmetric information formulations of the General Lotto game, which describes two opposing players that strategically allocate limited resources over multiple contests. In particular, we consider scenarios where one of the player's resource budget is common knowledge while the other player's is private. Our main contribution provides complete equilibrium characterizations in the scenario where the private resource budget is drawn from a Bernoulli di...
-
作者：Xie, Gang; Tong, Yin; Wang, Xiaomin; Seatzu, Carla
作者单位：Southwest Jiaotong University; University of Cagliari
摘要：This article studies the supervisory control problem (SCP) of discrete-event systems under sensor attacks. The plant is modeled with a labeled Petri net (LPN) and the attacker has the ability to replace and erase the sensor readings in the communication channel. Our goal is to synthesize a maximally permissive and resilient supervisor for the LPN such that the controlled system satisfies the safety specification under attack. Given a set of safe markings, the basis reachability graph (BRG) for...
-
作者：Chang, Hyeong Soo
作者单位：Sogang University
摘要：An important question about finite constrained Markov decision process (CMDP) problem is if there exists a condition under which a uniformly optimal and uniformly feasible policy exists in the set of deterministic, history-independent, and stationary policies that achieves the optimal value at all initial states and if the CMDP problem with the condition can be solved by dynamic programming (DP). This is because the crux of the unconstrained MDP theory developed by Bellman lies in the answer t...
-
作者：Wang, Shanshan; Diagne, Mamadou; Krstic, Miroslav
作者单位：University of Shanghai for Science & Technology; University of California System; University of California San Diego
摘要：With deep neural network approximations of partial differential equation (PDE) backstepping, for each new functional coefficient of the PDE plant, the gains are obtained through a function evaluation. In this article, we expand this framework to control of cascaded PDE systems from distinct classes: a reaction-diffusion plant, which is a parabolic PDE, with input delay, which is a hyperbolic PDE. The DeepONet-approximated nonlinear operator for the control gain is a cascade/composition of the ...
-
作者：Xie, Ruiming; Xu, Shengyuan
作者单位：Nanjing University of Science & Technology
摘要：In this article, we revisit finite-time stochastic integral input-to-state stability (FT-SiISS) and gives its further applications. Its contributions are two-fold: first, FT-SiISS is further discussed by reconstructing two new counterexamples that are different from Cui and Xie (2023), whose research significance is to find more practical systems satisfying FT-SiISS rather than FT-SISS. Second, as its application, we further solve the problem of finite-time stabilization for more general stoch...
-
作者：Hu, Fulong; Zhang, Hai-Tao; Xu, Bowen; Hu, Zhe
作者单位：Huazhong University of Science & Technology; Huazhong University of Science & Technology; Huazhong University of Science & Technology; Huazhong University of Science & Technology; Huazhong University of Science & Technology; Northwestern Polytechnical University
摘要：In this note, a detective matrix-based distributed algorithm is proposed to address a distributed minimum-time consensus prediction problem for discrete-time high-order multiagent systems (MASs). Therein, each agent predicts the consensus value merely using the minimum length of individual and/or neighboring successive position time series. Compared to most existing algorithms that could only predict constant consensus values for first-order linear MASs, the present method could predict consen...
-
作者：Lin, Liquan; Huang, Jie
作者单位：Chinese University of Hong Kong
摘要：The data-driven techniques have been developed to deal with the output regulation problem of unknown linear systems by various approaches. In this article, we first extend an existing result from single-input single-output linear systems to multi-input multi-output linear systems. Then, by separating the dynamics used in the learning phase and the control phase, we further propose an improved algorithm that significantly reduces the computational cost and weaken the solvability conditions for ...
-
作者：Stoorvogel, Anton A.; Saberi, Ali; Liu, Zhenwei
作者单位：University of Twente; Washington State University; Northeastern University - China
摘要：Originally, protocols were designed for multiagent systems using information about the network which might not be available. Recently, there has been a focus on scale-free synchronization where the protocol is designed without any prior information about the network. As long as the network contains a directed spanning tree, a scale-free protocol guarantees that the network achieves synchronization. If there is no directed spanning tree then synchronization cannot be achieved. But what happens ...
