supported in part by the National Natural Sci-ence Foundation of China under Grant 42376187;in part by the National Key R&D Program of China under Grant 2023YFC2812800,in part by the Natural Science Foundation of Shanghai under Grant 22ZR1434600;in part by the Oceanic Interdisciplinary Program of Shanghai Jiao Tong University under Grant SL2022MS016;in part by the Shanghai Jiao Tong University 2030 Initiative under Grant WH510244001;in part by the Shanghai Underwater Robot En-gineering Technology Innovation Center under Grant 21DZ2221600.
Ensuring accurate parameter identification and diving motion prediction of marine crafts is essential for safe navigation,optimized operational efficiency,and the advancement of marine exploration.Addressing this,this...
Joint Funds of the National Natural Science Foundation of China,Grant/Award Number:U21A20518;National Natural Science Foundation of China,Grant/Award Numbers:62106279,61903372。
Policy evaluation(PE)is a critical sub-problem in reinforcement learning,which estimates the value function for a given policy and can be used for policy improvement.However,there still exist some limitations in curre...
Laminated composites are widely used in many engineering industries such as aircraft, spacecraft, boat hulls, racing car bodies, and storage tanks. We analyze the 3D deformations of a multilayered, linear elastic, ani...
Seismic migration and inversion are closely related techniques to portray subsurface images and identify hydrocarbon reservoirs.Seismic migration aims at obtaining structural images of subsurface geologic discontinuit...
Supported by projects of National Natural Science Foundation of China(Nos.41604105,41974114);Fundamental Research Funds for Central Universities(No.2020YQLX01).
The authors proposed a symplectic stereo-modeling method(SSM)in the Birkhoffian dynam-ics and apply it to the visco-acoustic least-squares reverse time migration(LSRTM).The SSM adopts ste-reo-modeling operator in spac...
supported by the National Natural Science Foundation of China(Nos.11702329,12102247);the Shanghai Key Lab of Vehicle Aerodynamics and Vehicle Thermal Management Systems,China(No.VATLAB-2021-01)。
For the second-order finite volume method,implicit schemes and reconstruction methods are two main algorithms which influence the robustness and efficiency of the numerical simulations of compressible turbulent flows....
supported in part by National Natural Science Foundation of China(Grant No.61873215);Natural Science Foundation of Sichuan Province(Grant No.2022NSFSC0470)。
We study adaptive control for a family of nonlinear systems,involving unknown and uncertain parameters.The proposed control law estimates the system parameters adaptively and stabilizes the closedloop system asymptoti...
Stochastic models play an important role in achieving high accuracy in positioning,the ideal estimator in the least-squares(LS)can be obtained only by using the suitable stochastic model.This study investigates the ro...
Vision-based target motion estimation based Kalman filtering or least-squares estimators is an important problem in many tasks such as vision-based swarming or vision-based target pursuit.In this paper,we focus on a p...
supported by National Natural Science Foundation of China(Grant No.12288201);National Center for Mathematics and Interdisciplinary Sciences,CAS。
The convergence of an adaptive model predictive control(MPC)algorithm for discrete-time linear stochastic systems with unknown parameters is investigated in this paper.The proposed adaptive MPC is designed by solving ...