Software Downloads for "Feedback Control Builder"

.m and .mdl files to reproduce figures in the the book, Feedback Control of Dynamic Systems, 4th Ed., Prentice-Hall..

Pole placement aproach of state feedback control for the state space model or transfer function model..

  • Platform: Matlab, Scripts
  • Publisher: Ankit Shah
  • Date: 04-01-2013
  • Size: 10 KB

Feedback control of a plate-ball system (controls a sphere by rolling without slipping in the plane) It steers a sphere with a possibly unknown radius that rolls without slipping on the plane to a desired position and orientation by using iterative feedback control. inputs: State = [u,v,phi,x,y], (u,v) = (lat, log) contact point, phi = angle between the x-xis and the plane of the meridian through the contact point. u is limited to +/-pi/2 and v is limited to +/-pi The actual sphere radius is rhoA, while the assumed radius is rho.

  • Platform: Matlab, Scripts
  • Publisher: Aaron Becker
  • Date: 09-03-2013
  • Size: 10 KB

m and .mdl files to reproduce figures in the book, Feedback Control of Dynamic Systems, 5th Ed., Prentice-Hall, 2006 Featuring a brand new chapter on nonlinear systems, this revision of the best-selling textbook on feedback control has been recognized for even greater instructor flexibility and student readability. Design is emphasized throughout as well as analysis techniques to provide motivation for the study of control. The authors include many carefully worked-out examples to illustrate the material, as well as review questions to assist students in verifying that they have learned the material.

Feedback Control of Dynamic Systems, 6th Ed. Gene F. Franklin, J. David Powell, and Abbas Emami-Naeini Prentice-Hall ISBN-10: 0-13-601969-2 Cloth | January 2010 | 820 pp. http://www.pearsonhighered.com/educator/pr...0136019695.page This revision of the textbook on feedback control with the associated web site, www.FPE6e.com, provides greater instructor flexibility and student readability. Chapter 4 on A First Analysis of Feedback has been substantially rewritten to present the material in a more logical and effective manner.

A very simple code written by taking help from one of the control systems book. Task was to take a MIMO system where observations are less than states, then to check whether system is controllable or observable, then its design of feedback control loop, then non interacting control, then evaluation using error plots.

  • Platform: Matlab, Scripts
  • Publisher: Kashif Shahzad
  • Date: 24-04-2013
  • Size: 10 KB

in the 4 following presented models we design suitable controllers for both single and double pendulums step by step through the SVFC method.then we will present the Observers for these controllers and finally the result diagrams will be shown.This work will help the people who are interested in designing models and controller for pendulums(both single and double) and also it will be useful for those who want to know more about state vector feedback control method.Here we can find more information about the observer designing too.

  • Platform: JavaScript, Scripts
  • Publisher: Hossein sadri
  • Date: 22-03-2013
  • Size: 430 KB

The control of both bottom and distillate compositions is achieved by using conventional two point feedback control (WoodandBerry1) and non-interacting control (WoodandBerry2). Because of coupling, conventional control has a poorer performance when compared to the non interacting control system. Feed is regarded as a perturbation that is properly rejected by the non interacting control system. Transfer functions are taken from the book of Jean-Pierre Corriou (Commande des ProcdoTeddoTes, GdoTenie des ProcdoTeddoTes de l?Ecole de Nancy, 1996) or in R.

  • Platform: Matlab, Scripts
  • Publisher: Housam Binous
  • Date: 24-04-2013
  • Size: 20 KB

Optical trap control software. This project provides an example LabVIEW software program to perform data acquisition and feedback control of optical tweezers, especially for single-molecule biophysics experiments..

  • Platform: Linux, Mac, Windows
  • Publisher: openwetware.org
  • Date: 05-11-2012
  • Size: 5617 KB

A simple software to read source file of (.src,.svg)Ovation/WDPF's(Emerson Process Management) Graphics Builder/Control Builder. There are also including some useful Ovation Engineering Tools..

  • SPINA
  • License: Freeware
  • Rating

SPINA is software for determining constant structure-parameters of endocrine feedback control systems from hormone levels obtained in vivo. The first version of this cybernetic approach allows for evualuating the functional status of the thyroid gland, i.e. thyroid's secretory capacity (GT) and sum activity of peripheral deiodinases (GD)..

SPINA is software for determining constant structure-parameters of endocrine feedback control systems from hormone levels obtained in vivo. The first version of this cybernetic approach allows for evualuating the functional status of the thyroid gland, i.e. thyroid's secretory capacity (GT) and sum activity of peripheral deiodinases (GD)..

Written for undergraduate and graduate-level courses in control theory, this introductory text provides comprehensive coverage of classical and state-space approaches to control system design..

  • Platform: Matlab, Scripts
  • Publisher: Gene Franklin
  • Date: 16-01-2013
  • Size: 143 KB

Written in Chinese, this book presents the theory of control systems with the aid of MATLAB. For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1743.jsp..

  • Platform: Matlab, Scripts
  • Publisher: Dingyu Xue
  • Date: 25-05-2013
  • Size: 20 KB

Written for advanced undergraduate students, this book emphasizes the practical application of control systems engineering to the analysis and design of feedback systems..

  • Platform: Matlab, Scripts
  • Publisher: Norman Nise
  • Date: 02-06-2013
  • Size: 51 KB

This book is organized into three principal areas: analog control systems, digital control systems, and nonlinear analog control systems..

  • Platform: Matlab, Scripts
  • Publisher: Charles Phillips
  • Date: 26-03-2013
  • Size: 72 KB

This book is organized into three principal areas: analog control systems, digital control systems, and nonlinear analog control systems. For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1625.jsp..

  • Platform: Matlab, Scripts
  • Publisher: Charles Phillips
  • Date: 11-03-2013
  • Size: 31 KB

This book starts with a review of parameter optimization and then treats dynamic optimization, first with fixed final time and no constraints, next with terminal contraints, and finally with terminal constraints and open final time. This is followed by chapters on linear-quadratic problems and dynamic programming. The book concludes with chapters covering neighboring-optimal feedback control, inequality constraints, and singular problems..

  • Platform: Matlab, Scripts
  • Publisher: Arthur Bryson
  • Date: 02-02-2013
  • Size: 1126 KB

The files include a number of Simulink(R) models with different controllers for a DC motor. There is also a document included that describes the different controllers PID and pole placement with state feedback. The models can serve as a starting point when you develop your control systems in Simulink. The key point is that a text-book controller can almost never be used directly in a real application, there are several additional features needed. There is also an example of a PID controller in C-code and a model that can be used to verify the implementation in Simulink.

  • Platform: Matlab, Scripts
  • Publisher: Roger Aarenstrup
  • Date: 21-05-2013
  • Size: 6851 KB

It is desired for modern process systems to achieve optimal operation. However, operation at a pre-designed nominally optimal point may not necessarily be actually optimal due to realtime disturbances, measurement and control errors and uncertainties. Self-optimizing control aims to tackle this problem through feedback control. By carefully selecting or synthesizing controlled variables, a self-optimizing control system can achieve optimal or near optimal operation in spite of the presence of disturbances, measurement and control errors and uncertainties.

  • Platform: Matlab, Scripts
  • Publisher: Yi Cao
  • Date: 08-06-2013
  • Size: 10 KB
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