The lunar and solar perturbations in the motion of an artificial satellite due to the fourth degree Legendre polynomial
Lunar and solar perturbations in motion of artificial satellite due to fourth degree Legendre polynomial
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Lunar and solar perturbations in motion of artificial satellite due to fourth degree Legendre polynomial
Data enhancement by data compression using polynomial fitting
Nonlinear solution of Vlasov equation by velocity space polynomial expansion for plasma instability study
Theorem application to companion matrix of polynomial
Rodrigues type formula for generalized Laguerre polynomials based upon semigroup property for solutions of heat equation and generating function related to source solution
Zeros of polynomials with real or complex coefficients determined, using steepest descent method in convergent procedure
Stable evaluation algorithm for polynomials, discussing minimal Newton forms, error estimation, etc
This paper describes two methods of trajectory optimization to obtain an optimal trajectory of minimum-fuel- to-climb for an aircraft. The first method is based on the adjoint method, and the second method is based on a direct trajectory optimization method using a Chebyshev polynomial approximation and cubic spine approximation. The approximate optimal trajectory will be compared with the adjoint-based optimal trajectory which is considered as the true optimal solution of the trajectory optimization problem. The adjoint-based optimization problem leads to a singular optimal control solution which results in a bang-singular-bang optimal control.
A fluid-dynamic reconstruction algorithm is presented that generates a least-squares best-fit, two-dimensional density field from a prespecified two-dimensional velocity field. This method recasts the mass-conservation equation as a modified Sylvester equation employing high-order operators derived from modified Bernstein polynomial expansions. To demonstrate its practical utility, this analytic methodology is applied to two canonical cases and a Particle Image Velocimetry dataset obtained from a Mach-2, mechanically back-pressured, isolator experiment. This methodology is envisioned to be used in conjunction with hypersonic-diagnostic techniques to aid in the quantification of isolator flow fields. However, also note that this reconstruction technique is well suited to other applications relevant to fluid dynamics, such as obtaining three-dimensional flow field reconstructions.
This work presents a solution to the two-point Hermite interpolation problem using Bernstein polynomials. The Hermite interpolation problem is of particular interest in aerospace applications where boundary conditions for trajectories often specify derivative constraints. In the examples shown, a trajectory will be generated between an initial condition and a final condition. For example, a trajectory is generated that connects an aircraft’s current position and velocity with a point on the runway at a desired landing velocity. The numerical stability of the proposed algorithms is analyzed empirically.
Time-dependent aerodynamic forces with application to a wing deforming harmonically according to a general polynomial equation
Least squares estimation of regression coefficients of balanced polynomials
Digital polynomial and adaptive feedback control system techniques for large launch vehicle guidance, stability, and control
Perturbation theories for equations of celestial mechanics, obtaining analytical solutions in terms of Chebyshev polynomial series
Michailov criterion for exponential polynomials, determining existence of zeros in right half-plane
Computer program ETC improves computation of elastic transfer matrices of Legendre polynomials P/0/ and P/1/. Rather than carrying out a double integration numerically, one of the integrations is accomplished analytically and the numerical integration need only be carried out over one variable.
Hamiltonian for free particle of arbitrary spin and mass formulated in terms of spin matrix polynomials, noting independence of expansion coefficients
Filter properties of least square fitted polynomials