A Practical Algorithm for Approximating Shortest Weighted Path between a Pair of Points on Polyhedral Surface

2004 ◽  
pp. 42-52 ◽  
Author(s):  
Sasanka Roy ◽  
Sandip Das ◽  
Subhas C. Nandy
Keyword(s):  
Polyhedral Surface ◽  
Practical Algorithm

A Practical Algorithm for Shortest Paths on Polyhedral Surfaces

1993 ◽  
Author(s):  
P. Rambeaud ◽  
Saïd Zeghloul
Keyword(s):  
Path Planning ◽  
Shortest Path ◽  
Shortest Paths ◽  
Experimental Results ◽  
Planning Problem ◽  
Polyhedral Surface ◽  
Planning Systems ◽  
Practical Algorithm ◽  
Path Planning Problem ◽  
3D Problem

Abstract This paper describes a method for treating the shortest path planning problem along a convex polyhedral surface using an unfolding process. Since most planning systems use polyhedral environments, finding the shortest possible path is very useful for some typical robotics applications such as spacecraft or submersible robot motions. The basic idea in our algorithm is to unfold the polyhedral surface into a plane, in order to convert the 3D problem to a 2D one. We provide experimental results on a box and on a sphere to illustrate the unfolding process.

scholarly journals A Practical Algorithm for General Large Scale Nonlinear Optimization Problems

1999 ◽  
Vol 9 (3) ◽  
pp. 755-778 ◽  
Author(s):  
Paul T. Boggs ◽  
Anthony J. Kearsley ◽  
Jon W. Tolle
Keyword(s):  
Nonlinear Optimization ◽  
Large Scale ◽  
Optimization Problems ◽  
Practical Algorithm

scholarly journals Practical algorithm to inform clinical decision‐making in the topical treatment of atopic dermatitis

2021 ◽  
Author(s):  
Thomas Luger ◽  
Uladzimir Adaskevich ◽  
Maryna Anfilova ◽  
Xia Dou ◽  
Nikolay N. Murashkin ◽  
...  
Keyword(s):  
Decision Making ◽  
Atopic Dermatitis ◽  
Topical Treatment ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Practical Algorithm

Traffic Restraint as a Transport Planning Policy 1: A Framework for Analysis

1974 ◽  
Vol 6 (5) ◽  
pp. 565-601 ◽  
Author(s):  
M R Wigan
Keyword(s):  
Marginal Cost ◽  
Road Pricing ◽  
Theoretical Framework ◽  
Planning Program ◽  
Transport Planning ◽  
Planning Policy ◽  
The Subject ◽  
Practical Algorithm ◽  
Traffic Restraint ◽  
Convergence Stability

This paper summarises the program of work carried out at TRRL up to 1971 on traffic restraint treated as a policy for transport planning. The special techniques required were developed and are described here. The theoretical framework within which local traffic effects can be treated at a strategic level is developed using marginal cost road pricing as an example, and the necessarily stringent pricing establishing the convergence, stability, and repeatability of the results is described for a practical algorithm which can readily be used in other transport planning program systems. The application of these techniques to analyse the comparative effects of different traffic restraint policies, and the variations on the techniques required to handle several groups of travellers who react differently to restraint measures, are the subject of companion papers to appear later in this journal.

How to manage chronic urticaria ‘beyond’ guidelines: a practical algorithm

2017 ◽  
Vol 47 (6) ◽  
pp. 710-718 ◽  
Author(s):  
K. Rutkowski ◽  
C. E. H. Grattan
Keyword(s):  
Chronic Urticaria ◽  
Practical Algorithm

Two-Degree-of-Freedom Helicopter Closed-Loop Identification through a Cascade Controller

2011 ◽  
Vol 403-408 ◽  
pp. 4649-4658 ◽  
Author(s):  
Pouya Ghalei ◽  
Alireza Fatehi ◽  
Mohamadreza Arvan
Keyword(s):  
Closed Loop ◽  
Flight Simulation ◽  
Degree Of Freedom ◽  
Input Output ◽  
Closed Loop Identification ◽  
Practical Algorithm ◽  
Nonlinear Autoregressive Model ◽  
And Control ◽  
Nonlinear Autoregressive ◽  
Two Degree Of Freedom

Input-Output data modeling using multi layer perceptron networks (MLP) for a laboratory helicopter is presented in this paper. The behavior of the two degree-of-freedom platform exemplifies a high order unstable, nonlinear system with significant cross-coupling between pitch and yaw directional motions. This paper develops a practical algorithm for identifying nonlinear autoregressive model with exogenous inputs (NARX) and nonlinear output error model (NOE) through closed loop identification. In order to collect input-output identifier pairs, a cascade state feedback (CSF) controller is introduced to stabilize the helicopter and after that the procedure of system identification is proposed. The estimated models can be utilized for nonlinear flight simulation and control and fault detection studies.

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