... artificial intelligence response function kalman filter data quality impulse response function water wave experimental result elevation ocean engineering prediction accuracy deterministic wave prediction numerical solution ocean energy fourier transform accuracy irregular wave rmse...

... information actuation trajectory neural network machine learning ray deflection reinforcement learning curet complexity artificial intelligence fin algorithm amplitude operation international ocean control policy application patankar tracking controller kalman filter Proceedings...

...-Organizing StateSpace Model; 3-DOF Coupled Motions; Data Assimilation; Ensemble Kalman Filter. INTRODUCTION In recent years, the analysis of the on-board monitoring data has been attractive for researchers to evaluate the ship performances in actual seas of a full-scale ship (Minoura et al., 2019...

... as known. This model was realized as a state-space model, and parameters were identified by the ensemble Kalman filter. INTRODUCTION In recent years, ship performance in actual seas has focused on, to reduce the environmental burden and realize autonomous ships. Especially, if the ship motion...

... ABSTRACT Extended Kalman filter has been widely used in dynamic positioning system since it can estimate the low-frequency motion state of the ship. Aiming at the problem that the traditional extended Kalman filter cannot update the system process noise adaptively, which leads to the decrease...

... modal analysis proceedings spatial distribution spectrum kalman filter identification load cell upstream oil & gas artificial intelligence loading wave loading estimation subsea system load identification algorithm operational modal analysis matrix random sea brincker...

... ABSTRACT Recently, several attempts have been made to estimate the ocean wave spectrum from the vessel motion using the Kalman filter. The Kalman filter has the advantage of real-time estimation, lower cost, and easier installation than other instruments. However, when a vessel is less...

... and a nonlinear filtering theory (Unscented Kalman filter). Three kinds of dynamic variables (displacement, acceleration, and hydrodynamic force) are assumed to be measured with sensors. By performing identical twin numerical experiments, this study examines if the proposed way properly estimates the flow speeds...

... to maximize power absorption while minimizing the structural loads on the WEC system. Furthermore, a Kalman filter and autoregressive model were used to estimate and forecast the wave exciting force and predict the future dynamics of the WEC. The WEC's power-take-off time-averaged power and structural loads...

... the drillstring is rotating uniformly. By preprocessing the measured signals, a dynamic azimuth and inclination solving algorithm is established based on dynamical analysis of the bottom rotating drilling tool. Based on the theoretical model, we develop a Kalman filter to improve the solver accuracy as well...

... Kalman Filter and Proportional Derivative (PD) conrol theory in the program. The thruster forces are used as feedback force in the simulation to investigate the effectiveness of the DP system to control/minimize the vessel motions during the float-over operation. The software tool was successfully...

... of rotational position of booms and the height locating system of hydraulic cranes. The encoder also achieves a resolution as high as 16 bits. And to deal with the instability of the original signal, a modified-version Kalman filter is proposed and applied, which also surpasses the original Kalman filter...

... algorithm kalman filter accuracy vehicle Navigation and Depth Control of a Small-Sized AUV with Mass Shifter Mechanism Ngoc-Huy Tran, Hyeung-Sik Choi*, Lee Sang Sub, Oh Ji Yoon, Ha Ji Hoon, Jeon Ji Hea, Son Heon Jung Department Division of Mechanical and Energy Systems Engineering, Korea Maritime...

... artificial intelligence density field kalman filter error covariance reservoir simulation assimilation barotropic velocity circulation Multi-layer Model Simulation and Data Assimilation in the Serangoon Harbor of Singapore J. Wei H. Zheng , H. Chen*, B. H. Ooi*, M. H. Dao , W. Cho* P. Malanotte...

... acoustic sensors. This paper addresses the issues of estimating the target position, improving energy efficiency by applying a Kalman filter in a distributed architecture. Each underwater wireless sensor node composing the UWSNs is battery-powered, so the energy conservation problem is a critical issue...

.... This is achieved by implementing a variant of a trilateration technique in an extended Kalman filter. KEY WORDS: Multiple AUVs, Coordinated Navigation, Trilatera- tion INTRODUCTION The technology of Autonomous Underwater Vehicles has achieved an impressive degree of maturity during the last decade. However, due...

... a navigation and control system for a biomimetic-autonomous underwater vehicle (BAUV) to track a target. A Bayesian method, using an extended Kalman filter, combining localization and environmental mapping by a BAUV is implemented. This strategy selects the best sensor measurement by choosing one of several...

... transmissions at low frequency must be kept in mind, since these constraints make it impossible to base a coordinated motion control strategy only on the position messages from the team members issued at discrete instants of time. Thus a Kalman Filter based modeling of the vehicle positions is suggested...

... the scale effect of the DVL and bias errors of the inertial sensors. Indirect feedback Kalman filter is used in this paper, where the measurement equation is composed of the navigational state errors and system parameters. This paper demonstrates the effectiveness of DVLaided inertial navigation system...

... of fault detection and isolation (FDI) for the distributed parameters system, a practical approach of sub-sea pipelines leak detection and location is discussed. The discrete fluid transient equation is linearized and coupled with the extended Kalman filter (EKF) to estimate system state where the only...