supported by National Key Research and Development Program of China (Grant Nos. 2020AAA0104304, 2017YFA0700904);National Natural Science Foundation of China (Grant Nos. 61620106010, 62061136001, 61621136008, 62076147, U19B2034, U1811461, U19A2081);Beijing NSF Project (Grant No. JQ19016);Beijing Academy of Artificial Intelligence (BAAI);Tsinghua-Huawei Joint Research Program, Tsinghua Institute for Guo Qiang;Tsinghua-OPPO Joint Research Center for Future Terminal Technology;Tsinghua-China Mobile Communications Group Co., Ltd. Joint Institute
Deep reinforcement learning models are vulnerable to adversarial attacks that can decrease the cumulative expected reward of a victim by manipulating its observations.Despite the efficiency of previous optimization-ba...
supported by Program of Song Shan Laboratory(included in the Management of Major Science and Technology Program of Henan Province)(Grant No.221100210700-03)。
Interdependent networks are more vulnerable than single,non-interacting networks under cascading failure[1–3].Percolation theory provides a quantifiable theoretical framework to quantify and evaluate the robustness o...
supported by National Key Research and Development Program of China(Grant No. 2019YFB1703600);National Natural Science Foundation of China(Grant Nos. 62006079, 61751202, U1813203, U1801262);China Postdoctoral Science Foundation(Grant No. 2020TQ0105);Science and Technology Major Project of Guangzhou(Grant No. 202007030006);Natural Science Foundation of Guangdong Province(Grant No. 2021A1515011998);Program for Guangdong Introducing Innovative and Enterpreneurial Teams(Grant No. 2019ZT08X214);Science and Technology Project of Guangzhou(Grant No. 202102020634)。
The broad learning system(BLS) based on the minimum mean square error(MMSE) criterion can achieve outstanding performance without spending too much time in various machine learning tasks.However, when data are pollute...
supported by National Key Research and Development Program of China (Grant No.2018YFB0804002);National Natural Science Foundation of China (Grant No. 61872382);Research and Development Program in Key Areas of Guangdong Province of China (Grant No. 2018B010113001)。
Dear editor,Many complicated real-world systems can be considered as complex networks to analyze their macroscopic properties,e.g., the Internet, power grids, and communication networks [1]. Recently, studies have fou...
supported by National Key Research and Development Program of China(Grant No.2017YFB1003102);National Natural Science Foundation of China(Grant Nos.62022039,61672478,61876077);MOE University Scientific-Technological Innovation Plan Program。
Evolutionary algorithms(EAs)are a sort of nature-inspired metaheuristics,which have wide applications in various practical optimization problems.In these problems,objective evaluations are usually inaccurate,because n...
supported by National Natural Science Foundation of China(Grant Nos.61902070,61822202,62032005,61872089,61872087)。
Image authentication is the technology of verifying image origin,integrity and authenticity.A rich stream of research on image authentication has shown various trade-off among four favorable features,namely robustness...
supported by National Key Research and Development Project of China (Grant No. 2017YFB1300101)
With its strong endurance and high maneuverability, an underwater gliding snake-like robot(UGSR) is a strong potential candidate for aquatic exploration and monitoring. The major feature of the UGSR, which distinguish...
supported by National Natural Science Foundation of China (Grant Nos.61174122, 51361135705);Specialized Research Fund for the Doctoral Program of Higher Education, China (Grant No. 20110002110045)
In this paper, we investigate state estimations of a dynamical system with random parametric uncertainties which may arbitrarily affect a plant state-space model. A robust estimator is derived based on expectation min...
supported by Basic and Advanced Research Project of Chongqing (Grant No. cstc2016jcyj A0563)
In this paper, the attitude control of a small-scale helicopter is investigated. The main rotor flapping dynamics is explicitly explored to improve the control performance. A two-layer control architecture is adopted...
A sliding mode decoupling attitude controller based on parametric commands is proposed tor a generic hypersonic vehicle (GHV). This vehicle model has fast time variability and strong coupling, is highly nonlinear, a...