Artificial intelligence(Al)is almost everywhere due to therapid development of modern technology and popularityof intelligent devices.While control theory and machinelearning techniques as two enabling technologies ha...
As time swiftly passes,we find ourselves welcoming another spring with renewed hope and energy.On this occasion of bidding farewell to the old and embracing the new,the editorial team of Journal of Automation and Inte...
supported by the Research Grants Council of the Hong Kong Special Administration Region under the Grant No.14201621。
In this paper,we investigate the distributed Nash equilibrium(NE)seeking problem for aggregative games with multiple uncertain Euler–Lagrange(EL)systems over jointly connected and weight-balanced switching networks.T...
supported by the National Research Foundation Singapore under its AI Singapore Programme(Award Number:[AISG2-GC-2023-007]).
This paper addresses the tracking control problem of a class of multiple-input–multiple-output nonlinear systems subject to actuator faults.Achieving a balance between input saturation and performance constraints,rat...
supported by the Natural Science Basic Research Plan in Shaanxi Province of China(Program No.2022JM-381,2017JQ6070);National Natural Science Foundation of China(Grant No.61703256),Foundation of State Key Laboratory of Public Big Data(No.PBD2022-08);the Fundamental Research Funds for the Central Universities,China(Program No.GK202201014,GK202202003,GK201803020).
Studies show that Graph Neural Networks(GNNs)are susceptible to minor perturbations.Therefore,analyzing adversarial attacks on GNNs is crucial in current research.Previous studies used Generative Adversarial Networks ...
in part by the National Science Foundation of China under Grant No.62276238;in part by the National Science Foundation for Distinguished Young Scholars of China under Grant No.62325602;in part by the Natural Science Foundation of Henan,China under Grant No.232300421095.
The Heterogeneous Capacitated Vehicle Routing Problem(HCVRP),which involves efficiently routing vehicles with diverse capacities to fulfill various customer demands at minimal cost,poses an NP-hard challenge in combin...
supported by the National Natural Science Foundation of China under Grant 62173314.
This paper investigates control synthesis for motion planning under conditions of uncertainty,specifically in robot motion and environmental properties,which are modeled using a probabilistic labeled Markov decision p...
supported by National Natural Science Foundation of China(62376219 and 62006194);Foundational Research Project in Specialized Discipline(Grant No.G2024WD0146);Faculty Construction Project(Grant No.24GH0201148).
Large language models(LLMs)have undergone significant expansion and have been increasingly integrated across various domains.Notably,in the realm of robot task planning,LLMs harness their advanced reasoning and langua...
supported in part by the National Key Research and Development Program of China under Grant 2023YFA1011803;in part by Natural Science Foundation of Chongqing,China under Grant CSTB2023NSCQ-MSX0588;in part by the Fundamental Research Funds for the Central Universities,China under Grant 2023CDJKYJH047;in part by the National Natural Science Foundation of China under Grant 62273064,Grant 61991400,Grant 61991403,Grant 61933012,Grant 62250710167,Grant 62203078;in part by Innovation Support Program for International Students Returning to China under Grant cx2022016.
This paper addresses the lane-keeping control problem for autonomous ground vehicles subject to input saturation and uncertain system parameters.An enhanced adaptive terminal sliding mode based prescribed performance ...
Frank L.Lewis(Life Fellow,IEEE)received the Ph.D.degree from the Georgia Institute of Technology.He iscurrently a member of the National Academy of Inventorsand the Moncrief-O'Donnell Chair with The University ofTexas...