FMS planning and control-analysis and design

Author(s):  
Christian Bérard ◽  
Lucas Pun ◽  
Bernard Archimède

Production ◽  
2017 ◽  
Vol 27 (spe) ◽  
Author(s):  
Sanderson César Macêdo Barbalho ◽  
Ana Carla Bittencourt Reis ◽  
Julia Alexssandra Bitencourt ◽  
Maria Clara Leopoldino de Arêa Leão ◽  
Gladston Luiz da Silva


2015 ◽  
Vol 23 (9) ◽  
pp. 1377-1416 ◽  
Author(s):  
Tariq Abuhamdia ◽  
Saied Taheri

This survey presents the broad range of research on using wavelets in the analysis and design of dynamic systems. Though wavelets have been used with all types of systems, the major focus of this survey is mechanical and electromechanical systems in addition to their controls. However, the techniques presented can be applied to any category of dynamic systems such as economic, biological, and social systems. Wavelets can be classified into three different types: orthogonal, biorthogonal, and pseudo, all of which are employed in dynamic systems engineering. Wavelets-based methods for dynamic systems applications can be divided into vibrations analysis and systems and control analysis. Wavelets applications in vibrations extend to oscillatory response solutions and vibrations-based systems identification. Also, their applications in systems and control extend to time–frequency representation and modeling, nonlinear systems linearization and model reduction, and control design and control law computation. There are serious efforts within systems and control theory to establish time–frequency and wavelets-based Frequency Response Functions (FRFs) parallel to the Fourier-based FRFs, which will pave the road for time-varying FRFs. Moreover, the natural similarity of wavelets to the representation of neural networks allows them to slip into neural-networks-based and fuzzy-neural-networks-based controllers. Additionally, wavelets have been considered for applications in feedforward and feedback control loops for computation, analysis, and synthesis of control laws.



2018 ◽  
Vol 184 ◽  
pp. 04004
Author(s):  
Carmen-Elena Stoenoiu

The analysis of the cost of production is a complex problem, being very useful in the planning and control process as well as in production and sales. In this study, this was done using three methods: accounting analysis, high-low and regression analysis that allowed cost elements to be identified through a cost equation that can be used in planning and control analysis or in sales activity. At the same time, the evolution of the cost elements was achieved using two estimates used by the accounting method. The High-Low method allowed the determination of the minimum and maximum activity level at one year's level, which was then analyzed through the company's available activity range. The multivariate regression analysis determined the analysis of the obtained model, being linear, thus establishing the production line.



2015 ◽  
Author(s):  
Jason Bank ◽  
◽  
Robert Broadwater ◽  
Danling Cheng ◽  
David Costyk ◽  
...  


Author(s):  
D.L. Roke

The growth in horticultural and some industrial development in selected areas of Northland has led to a need for more specific and careful planning and control of limited resources in a number of major catchments. The potential irrigation demands for horhculture comprise over 60% of Northland's potential water requirements. By contrast, farm water supply needs are only 11% of these needs. Because of their importance to the Northland economy, and in the legislation these needs are given a high priority in water resource management planning. Land uses, including pastoral farming, require careful operation to reduce diffuse sources of pollution.





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