Design of waveguides and transmission lines by the distributed maximum principle
Maximum principle for distributed systems applied to design of waveguides and transmission lines
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Maximum principle for distributed systems applied to design of waveguides and transmission lines
Stochastic maximum principle with averaged constraint developed for control problems affected by stochastic process
A maximum principle for the equilibrium of an elastic material body which is free of body forces is described not all of the components of the displacement vector or of the principal stresses can simultaneously have a strict maximum or minimum at any point in the body which does not be either on the surface or on a material interface.
Dynamic programming and Pontryagin maximum principle
An investigation was conducted of maximum principle solutions for an initial 0.6 Mach number and 15,000-ft altitude. The authors generate these solutions for a family of prescribed final times tf, starting with tf = 0.5 s. Using a nonlinear wind-tunnel model they construct maximum principle solutions. Above tf = 1.2 s some small nonlinear variations in the aerodynamic pitching moment coefficient presented difficulty with respect to numerical convergence. This was circumvented by fitting analytical models to the aerodynamic coefficients of the wind-tunnel model at Mach 0.4. Maximum principle solutions of the analytical model are shown to compare well with those obtained for tf of less than 1.2 s. Using the analytical model the authors extended the prescribed final time to a value of 13.65 s at which time the aircraft completes the half-loop maneuver. This is 0.53 s longer than that obtained using the singular perturbation feedback control law.
Maximum principle least squares /MPLS/ nonlinear filter scheme simplified, using digital simulation for stability and tracking performance
Optimal linear filter derivation using Pontryagin maximum principle and gradient matrices for optimal filter coefficients
Optimum stage weight distribution in multistage rocket obtained by discrete maximum principle
Optimum stage weight distribution in multistage rocket obtained by discrete maximum principle
Mathematical model of maximum principle of Pontryagin used to find point-to-point reentry trajectory of space vehicle
Adaptive random search algorithm for implementation of maximum principle
Maximum principle for optimal control problems with delay-differential system equations
Maximum principle in integral form for optimal control problems with delay differential system equations, using vector matrix notation
Optimal radar waveforms for clutter rejection in range and range rate determination system, using maximum principle
Time optimal control law for lunar orbital rendezvous problem by pontryagin maximum principle
Waveguide and transmission line optimal design to minimize reflected power due to mismatch over frequency band, using distributed maximum principle
In this paper we develop local and global estimates for the solution of convection-diffusion problems. We then study the convergence properties of a Time Marching Algorithm solving Advection-Diffusion problems on two domains using incompatible discretizations. This study is based on a De-Giorgi-Nash maximum principle.
The use of limiting methods for high-order numerical approximations of hyperbolic conservation laws generally requires defining an admissible region/bounds for the solution. In this work, we present a novel approach for computing solution bounds and limiting for the Euler equations through the kinetic representation provided by the Boltzmann equation, which allows for extending limiters designed for linear advection directly to the Euler equations. Given an arbitrary set of solution values to compute bounds over (e.g., numerical stencil) and a desired linear advection limiter, the proposed approach yields an analytic expression for the admissible region of particle distribution function values, which may be numerically integrated to yield a set of bounds for the density, momentum, and total energy. Further, these solution bounds are shown to preserve positivity of density/pressure/internal energy and, when paired with a limiting technique, can robustly resolve strong discontinuities while recovering high-order accuracy in smooth regions without any ad hoc corrections (e.g., relaxing the bounds). This approach is demonstrated in the context of an explicit unstructured high-order discontinuous Galerkin/flux reconstruction scheme for a variety of difficult problems in gas dynamics, including cases with extreme shocks and shock-vortex interactions. Furthermore, this work presents a foundation for limiting techniques for more complex macroscopic governing equations that can be derived from an underlying kinetic representation for which admissible solution bounds are not well-understood.