Is Deterministic Real Time Control Always Necessary? A Time Scales Perspective

2014 ◽  
Author(s):  
Dylan Poulsen ◽  
Ian Gravagne ◽  
John M. Davis
Keyword(s):  
Feedback Control ◽  
Real Time ◽  
Linear Systems ◽  
Time Scales ◽  
Closed Loop ◽  
Control Design ◽  
Real Time Control ◽  
Time Control ◽  
Real Time Computing ◽  
Sampling Times

Practitioners of feedback control design often must spend a great deal of time and effort dealing with the complexities of deterministic, or “real time” computing. In this paper, we argue that if certain conditions are met, stable feedback control is possible under non-deterministic conditions. In particular, certain classes of linear systems may be uniformly exponentially stabilized by placing the closed-loop poles within an “osculating circle” if the statistics of the controller’s sampling times are known.

Evaluation of a Low-Cost Microcontroller for Real-Time Control Education and Prototyping

2014 ◽  
Author(s):  
Ryan W. Krauss
Keyword(s):  
Feedback Control ◽  
Real Time ◽  
Closed Loop ◽  
Low Cost ◽  
Serial Communication ◽  
Real Time Control ◽  
Time Control ◽  
Active User ◽  
Bode Plots ◽  
Control Education

Arduino microcontrollers are popular, low-cost, easy-to-program, and have an active user community. This paper seeks to quantitatively assess whether or not Arduinos are a good fit for real-time feedback control experiments and controls education. Bode plots and serial echo tests are used to assess the use of Arduinos in two scenarios: a prototyping mode that involves bidirectional real-time serial communication with a PC and a hybrid mode that streams data in real-time over serial. The closed-loop performance with the Arduino is comparable to that of another more complicated and more expensive microcontroller for the plant considered. Some practical tips on using an Arduino for real-time feedback control are also given.

1119 Real-Time Control Design with Feedback Structure

2007 ◽  
Vol 2007.82 (0) ◽  
pp. _11-19_
Author(s):  
Tomoaki Kobayashi ◽  
Junichi Maenishi ◽  
Joe Imae ◽  
Guisheng Zhai
Keyword(s):  
Real Time ◽  
Control Design ◽  
Real Time Control ◽  
Time Control ◽  
Feedback Structure

scholarly journals The open real-time control (RTC)-Tools software framework for modeling RTC in water resources sytems

2014 ◽  
Vol 17 (1) ◽  
pp. 130-148 ◽  
Author(s):  
D. Schwanenberg ◽  
B. P. J. Becker ◽  
M. Xu
Keyword(s):  
Decision Support ◽  
Water Resources ◽  
Feedback Control ◽  
Real Time ◽  
Large Scale ◽  
Water Systems ◽  
Software Framework ◽  
River Rhine ◽  
Real Time Control ◽  
Time Control

Real-time control-Tools is a novel software framework for modeling real-time control and decision support in water resources systems. It integrates different control paradigms ranging from simple feedback control strategies with triggers, operating rules and controllers to advanced optimization-based approaches such as model predictive control (MPC). A key feature of the package is the modular integration of modeling components, related adjoint models, and optimization algorithms which makes it well suited for the control of large-scale water systems. Interfaces enable its integration into Supervisory Control and Data Acquisition systems, operational stream flow forecasting, and decision support systems as well as hydraulic modeling packages. This paper presents an overview of the novel software framework, gives an introduction into the underlying control theory for which it has been developed and discusses the related software architecture. A first case describes an innovative combination of binary decision trees and feedback control in application to the modeling of a highly regulated River Rhine reach along the German–French border. Two additional cases present the efficient application of MPC to the short-term management of two large-scale water systems in the Netherlands and the USA.

scholarly journals A closed-loop anesthetic delivery system for real-time control of burst suppression

2013 ◽  
Vol 10 (4) ◽  
pp. 046004 ◽  
Author(s):  
Max Y Liberman ◽  
ShiNung Ching ◽  
Jessica Chemali ◽  
Emery N Brown
Keyword(s):  
Real Time ◽  
Delivery System ◽  
Closed Loop ◽  
Burst Suppression ◽  
Real Time Control ◽  
Time Control

Exact and Linearized Neural Predictive Control: A Turbocharged SI Engine Example

2007 ◽  
Vol 129 (4) ◽  
pp. 527-533 ◽  
Author(s):  
G. Colin ◽  
Y. Chamaillard ◽  
G. Bloch ◽  
A. Charlet
Keyword(s):  
Real Time ◽  
Linear Systems ◽  
Predictive Control ◽  
Control Method ◽  
Simulation Models ◽  
Real Time Control ◽  
Time Control ◽  
Non Linear ◽  
Non Linear Systems ◽  
Neural Predictive Control

This paper describes a real-time control method for non-linear systems based on model predictive control. The model used for the prediction is a neural network because of its ability to represent non-linear systems, its ability to be differentiated, and its simplicity of use. The feasibility and the performance of the method, based on on-line linearization, are demonstrated on a turbocharged spark-ignited engine application, where the simulation models used are very accurate and complex. The results, first in simulation and then on a test bench, show the implementation of the proposed control scheme in real time.

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