This paper outlines a research agenda and a methodology creation path towards resolution of those long term issues.
Numerical simulations using the real data of a monohull ship are provided to illustrate the effectiveness of the proposed methodology for path following of underactuated ships.
This paper combines the greedy randomized adaptive search procedure (GRASP) methodology, and path relinking (PR) in order to efficiently search for high-quality solutions for the SRFLP.
We presented a methodology for path planning in three-dimensional environments for autonomous vehicles that consider at least three motion constraints: maximum curvature, maximum torsion and maximum climb angles.
The methodology adopted for path following deals explicitly with vehicle dynamics.
The methodology adopted for path following control deals explicitly with vehicle dynamics and plant parameter uncertainty.
This virtual musculoskeletal methodology allows accurate path control, but it also ensures the compliance of the robotic manipulator.
The methodology provides a path forward for investigation of other sources of nonlinearity, including those associated with the use of more physically-realistic material models incorporating pore-pressure effects, gap opening/closing, the effect of nonlinear structural elements, and 3D seismic inputs.
Besides being faster and more precise to compute than other methodologies, the LSM methodology helps assess path-dependent American options with multiple dimensions and multiple state variables, being also applied to Markovian and non-Markovian problems.
The debate on measurement issues in social science over the last few decades has been mainly on advanced methodologies such as path analysis and structural equation modeling to address concerns of data collection, measurement error, and ordinal data (1– 3).
