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pro vyhledávání: '"Rupam Gupta Roy"'
Publikováno v:
IEEE Access, Vol 8, Pp 109891-109904 (2020)
This paper presents an adaptive neuro-fuzzy sliding mode control (ANFSMC) scheme for diving motion control of an autonomous underwater vehicle (AUV) in the presence of parameter perturbations and wave disturbances. In the derivation of diving motion
Externí odkaz:
https://doaj.org/article/cdd8da55395446eb99cd6481584985f3
Publikováno v:
Soft Computing. 27:3751-3763
Publikováno v:
2022 Eighth Indian Control Conference (ICC).
Publikováno v:
Journal of Computational Mechanics, Power System and Control. 4:17-22
Publikováno v:
Journal of Computational Mechanics, Power System and Control. 3:10-20
Publikováno v:
IEEE Access, Vol 8, Pp 109891-109904 (2020)
This paper presents an adaptive neuro-fuzzy sliding mode control (ANFSMC) scheme for diving motion control of an autonomous underwater vehicle (AUV) in the presence of parameter perturbations and wave disturbances. In the derivation of diving motion
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 4:622-636
A new adaptive robust control scheme combining the disturbance-observer-based control (DOBC) with fuzzy adapted S-Surface control is proposed for trajectory tracking control of autonomous underwater vehicle. The main contribution of the proposed meth
Autor:
Rupam Gupta Roy, Dibyendu Ghoshal
Publikováno v:
Engineering Computations. 37:1237-1259
Purpose Advanced heavy water reactor (AHWR) is a pressure tube type of heavy water reactor. It eliminates high-pressure heavy water coolant resulting in a reduction of heavy water leakage losses and eliminating heavy water recovery system. It recover
Autor:
Dibyendu Ghoshal, Rupam Gupta Roy
Publikováno v:
Robotica. 38:1539-1557
SUMMARYThe flexible motion of the inchworm makes the locomotion mechanism as the prominent one than other limbless animals. Recently, the application of engineering greatly assists the inchworm locomotion to be applicable in the robotic mechanism. Du
Autor:
Dibyendu Ghoshal, Rupam Gupta Roy
Publikováno v:
Adaptive Behavior. 29:39-54
Navigating, directing, and controlling autonomous underwater vehicles (AUVs) are demanding and considered complicated compared to the autonomous surface-level performance. In such vehicles, the motion can be controlled depending on the estimation of