A payoff-based learning approach for Nash equilibrium seeking in continuous potential games

S Tan, Y Wang - Neurocomputing, 2022 - Elsevier
This work addresses the Nash equilibrium seeking problem in continuous potential games
in a situation that the payoff functions and actions of players are blind to each other due to …

Model-free Reinforcement Learning for Control of Stochastic Discrete-time Systems

X Jiang, L Wang, D Zhao, L Shi - arXiv preprint arXiv:2311.14992, 2023 - arxiv.org
This paper proposes a reinforcement learning (RL) algorithm for infinite horizon $\rm {H_
{2}/H_ {\infty}} $ problem in a class of stochastic discrete-time systems, rather than using a …

The Indefinite LQ Control for Stochastic TS Fuzzy System with Intermittent Observations

B Zhu, C Tan, T Ding, Q Qi… - 2023 42nd Chinese …, 2023 - ieeexplore.ieee.org
This paper mainly considers the indefinite linear quadratic (LQ) control problem for the
stochastic Takagi-Sugeno (TS) fuzzy system with intermittent observations. First, the optimal …

Simulation study of experimental loading system for large scale plate frame axial compression load.

YOU Ruizhang, YAN Renjun, QIU Yu… - Experimental …, 2023 - search.ebscohost.com
In order to find the optimal loading system for large scale plate frame under the combined
action of axial uniform pressure load alone and surface load, and to study the interaction …

Development of 3D printing equipment for large-scale components based on machine vision-based mobile sewing technology.

Q Jun, S Hongyao, PAN Lingnan… - Experimental …, 2023 - search.ebscohost.com
Aiming at the problem that the additive manufacturing of large-scale components is limited
by the volume of the cavity of processing equipment. In this paper, the 3D printing mode of …