A practical algorithm for smooth interpolation between different angular positions

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.

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A practical algorithm for representing polynomials of two variables by fuzzy systems with accuracy O

Fuzzy Sets and Systems ◽

10.1016/s0165-0114(98)00470-9 ◽

2001 ◽

Vol 119 (2) ◽

pp. 321-327 ◽

Cited By ~ 4

Author(s):

Byung Soo Moon

Keyword(s):

Fuzzy Systems ◽

Practical Algorithm

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

Clinical & Experimental Allergy ◽

10.1111/cea.12944 ◽

2017 ◽

Vol 47 (6) ◽

pp. 710-718 ◽

Cited By ~ 9

Author(s):

K. Rutkowski ◽

C. E. H. Grattan

Keyword(s):

Chronic Urticaria ◽

Practical Algorithm

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

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.403-408.4649 ◽

2011 ◽

Vol 403-408 ◽

pp. 4649-4658 ◽

Cited By ~ 1

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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