Simulation study of the nonideal mixing effect on the stability of continuous and discrete proportional control of a nonadiabatic CSTR based on Cholette’s model

2021 ◽  
Vol 44 (6) ◽  
pp. 519-531
Author(s):  
Chane-Yuan Yang ◽  
Yu-Shu Chien ◽  
J.-H. Chou
Keyword(s):  
Simulation Study ◽  
Proportional Control ◽  
Mixing Effect ◽  
The Stability

scholarly journals Test-Retest Reliability is not a Measure of Reliability or Stability: A Friendly Reminder

2020 ◽  
Author(s):  
Lukas Röseler ◽  
Daniel Wolf ◽  
Johannes Leder ◽  
Astrid Schütz
Keyword(s):  
Confidence Intervals ◽  
Simulation Study ◽  
Repeated Measurement ◽  
Reliability Coefficient ◽  
Diagnostic Instrument ◽  
Retest Reliability ◽  
Cronbach's Alpha ◽  
Correction For Attenuation ◽  
The Stability ◽  
Test Retest Reliability

We argue that the test-retest reliability coefficient, which is the correlation between a measurement and a repeated measurement using the same diagnostic instrument in the same sample (sometimes referred to as repeatability or falsely referred to as stability), is by itself not an appropriate measure of the reliability of the diagnostic instrument or of the stability of the construct in question. In combination with an actual coefficient of reliability such as Cronbach’s alpha, the test-retest reliability coefficient can be used to estimate and compare the stabilities of constructs using a procedure based on the correction for attenuation. However, results from a simulation study showed that classically constructed confidence intervals for the estimator exhibit under-coverage and thus cannot be interpreted correctly.

Design and control of cooperative ball juggling DELTA robots without visual guidance

Robotica ◽  
2015 ◽  
Vol 35 (2) ◽  
pp. 384-400 ◽  
Author(s):  
Zeeshan Shareef ◽  
Viktor Just ◽  
Heinrich Teichrieb ◽  
Ansgar Trächtler
Keyword(s):  
Visual System ◽  
Simulation Study ◽  
Autonomous Robots ◽  
Vital Role ◽  
Control Loop ◽  
Visual Guidance ◽  
Computationally Expensive ◽  
The Stability ◽  
And Control

SUMMARYCooperative ball juggling is one of the most difficult tasks when performed through autonomous robots. States of the ball (position and velocity) play a vital role for the stability and duration of a long rally. Cameras are normally used in ball juggling to calculate these parameters, the use of which is not only computationally expensive but also requires a lot of hardware to determine. In this paper, we propose a control loop for cooperative ball juggling using parallel DELTA robots without visual guidance. In contrast to using a visual system for ball states feedback, an observer based on the reflection laws is designed to calculate the continuous position and velocity of the ball during juggling. Besides the conventional controller blocks, the proposed control loop consists of the ball prediction and the plate striking movement generation blocks. Two controllers are designed for the stability and tracking of variable reference height of the ball during juggling: One controller calculates the velocity of the striking plate to achieve the reference height of the ball during juggling and the second controls the actuator angles. A simulation study and hardware experiments show applicability of the designed observer and validation of the proposed control loop.

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