Analysis of control error dispersion by numerical characteristics of actions

2004 ◽  
pp. 97-135
Author(s):  
Alexander Nebylov
Keyword(s):  
Control Error

scholarly journals A Practical Multifaceted Approach to Selecting Differentially Expressed Genes

2007 ◽  
Vol 3 ◽  
pp. 117693510700300
Author(s):  
Yingye Zheng ◽  
Margaret Pepe
Keyword(s):  
Differential Expression ◽  
Gene Selection ◽  
Error Rates ◽  
Cancer Prognosis ◽  
Differentially Expressed ◽  
Expression Array ◽  
Statistical Research ◽  
P Values ◽  
Control Error ◽  
Strength Of Evidence

Consider a gene expression array study comparing two groups of subjects where the goal is to explore a large number of genes in order to select for further investigation a subset that appear to be differently expressed. There has been much statistical research into the development of formal methods for designating genes as differentially expressed. These procedures control error rates such as the false detection rate or family wise error rate. We contend however that other statistical considerations are also relevant to the task of gene selection. These include the extent of differential expression and the strength of evidence for differential expression at a gene. Using real and simulated data we first demonstrate that a proper exploratory analysis should evaluate these aspects as well as decision rules that control error rates. We propose a new measure called the mp-value that quantifies strength of evidence for differential expression. The mp-values are calculated with a resampling based algorithm taking into account the multiplicity and dependence encountered in microarray data. In contrast to traditional p-values our mp-values do not depend on specification of a decision rule for their definition. They are simply descriptive in nature. We contrast the mp-values with multiple testing p-values in the context of data from a breast cancer prognosis study and from a simulation model.

scholarly journals A Three Area Interconnected Power System Network Load Frequency Controller Simulator

2018 ◽  
pp. 295-304
Author(s):  
Ibrahim Olawale Muritala ◽  
M B Mu’azu ◽  
E A Adedokun
Keyword(s):  
Energy Storage ◽  
Power System ◽  
Magnetic Energy ◽  
Model Predictive Controller ◽  
Control Error ◽  
Interconnected Power System ◽  
Area Control Error ◽  
Predictive Controller ◽  
Super Conducting ◽  
Magnetic Energy Storage

This paper presents a MATLAB simulator of a three area interconnected power system of Thermal-Gas-Hydro. Nonlinearities intrinsic in the interconnected power system of communication delay, Generation Rate Constraint and Generation Dead Band were measured. Bat Inspired Algorithm was exploited to select the favourable parameters of the Model Predictive Controller and the Super Conducting Magnetic Energy Storage. Model Predictive Controller was the subordinate controller employed to minimalize the Area Control Error, Super Conducting Magnetic Energy Storage was the energy buffer to balance the load demand and the power generated. Integral Time Absolute Error was the performance metrics employed to minimize the Area Control Error. Parametric dissimilarity was tested on the inter-connected power system to observe the efficacy of the controller. Step load perturbation of  was concurrently applied to the three-area inter-connected network,  was introduced to the thermal generating unit,  was introduced to the gas and hydro generating unit.  Value of the tie-line was introduced to examine its effect on the frequency deviation. The results performed better when compared with Model Predictive Controller joined with Super Conducting Magnetic Energy Storage against the Model Predictive Controller without Super Conducting Magnetic Energy Storage in relations to settling time, overshoot and undershoot.

scholarly journals Mapping Relation between Contour Error Components of Crankshaft Pin Journal and Axis Position Control Error of Oscillating Grinding Machine

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6497
Author(s):  
Xiaoyan Fang ◽  
Xiaowei Sheng ◽  
Yize Sun ◽  
Yang Xu
Keyword(s):  
Position Control ◽  
High Reliability ◽  
Decomposition Methods ◽  
Ensemble Empirical Mode Decomposition ◽  
Contour Error ◽  
Control Error ◽  
Error Components ◽  
Mode Decomposition ◽  
Axis Position ◽  
Grinding Machine

Automatic crankshaft production lines require high reliability and accuracy stability for the oscillating grinding machine. Crankshaft contour error represent the most intuitive data in production field selective inspection. If the mapping relation between the contour error components of the crankshaft pin journal and the axis position control error of the oscillating grinding machine can be found, it would be great significance for the reliability maintenance of the oscillating grinding machine. Firstly, a contour error decomposition method based on ensemble empirical mode decomposition (EEMD) is proposed. Secondly, according to the contour generating principle of the pin journal by oscillating grinding, a calculation method to obtain the effect of the axis position control error of the oscillating grinder on the contour error of the pin journal is proposed. Finally, through the grinding experiments, the error data are acquired and measured to calculate and decompose the contour error by using the proposed methods for obtaining the mapping relation between the crankshaft pin journal contour error and the axis position control error. The conclusions show that the proposed calculation and decomposition methods can obtain the mapping relation between the contour error components of the crankshaft pin journal and the axis position control error of the oscillating grinding machine, which can be used to predict the key functional component performance of the machine tool from the oscillating grinding workpiece contour error.

Error Type and Lexical Frequency Effects: Error Detection in Swedish Children With Language Impairment

2017 ◽  
Vol 60 (10) ◽  
pp. 2924-2934 ◽  
Author(s):  
Anna Eva Hallin ◽  
Christina Reuterskiöld
Keyword(s):  
Preschool Children ◽  
Noun Phrase ◽  
Error Detection ◽  
Language Impairment ◽  
School Age Children ◽  
Past Tense ◽  
School Age ◽  
Lexical Frequency ◽  
Control Error ◽  
Frequency Effects

Purpose The first aim of this study was to investigate if Swedish-speaking school-age children with language impairment (LI) show specific morphosyntactic vulnerabilities in error detection. The second aim was to investigate the effects of lexical frequency on error detection, an overlooked aspect of previous error detection studies. Method Error sensitivity for grammatical structures vulnerable in Swedish-speaking preschool children with LI (omission of the indefinite article in a noun phrase with a neuter/common noun, and use of the infinitive instead of past-tense regular and irregular verbs) was compared to a control error (singular noun instead of plural). Target structures involved a high-frequency (HF) or a low-frequency (LF) noun/verb. Grammatical and ungrammatical sentences were presented in headphones, and responses were collected through button presses. Results Children with LI had similar sensitivity to the plural control error as peers with typical language development, but lower sensitivity to past-tense errors and noun phrase errors. All children showed lexical frequency effects for errors involving verbs (HF > LF), and noun gender effects for noun phrase errors (common > neuter). Conclusions School-age children with LI may have subtle difficulties with morphosyntactic processing that mirror expressive difficulties in preschool children with LI. Lexical frequency may affect morphosyntactic processing, which has clinical implications for assessment of grammatical knowledge.

Influences of control error and setting error on machining accuracy of internal gearing power honing

2018 ◽  
Vol 100 (1-4) ◽  
pp. 225-236
Author(s):  
Jiang Han ◽  
Yonggang Zhu ◽  
Lian Xia ◽  
Bin Yuan ◽  
Lulu Wu
Keyword(s):  
Machining Accuracy ◽  
Control Error ◽  
Setting Error

A Novel Input–Output Linearization Minimum Sliding Mode Error Feedback Control for Synchronization of FitzHugh–Nagumo Neurons

2015 ◽  
Vol 11 (4) ◽  
Author(s):  
Lu Cao ◽  
Xiaoqian Chen
Keyword(s):  
Feedback Control ◽  
Sliding Mode ◽  
Sufficient Conditions ◽  
Error Feedback ◽  
Input Output ◽  
External Disturbances ◽  
Control Error ◽  
Equivalent Control ◽  
System Uncertainties ◽  
Input Output Linearization

A novel input–output linearization minimum sliding mode error feedback control (I/OMSMEFC) is proposed for the synchronization between two uncoupled FitzHugh–Nagumo (FHN) neurons with different ionic currents and external electrical stimulations. To estimate and offset the system uncertainties and external disturbances, the concept of equivalent control error is introduced, which is the key to utilization of I/OMSMEFC. A cost function is formulated on the basis of the principle of minimum sliding mode covariance constraint; then the equivalent control error is estimated and fed back. It is shown that the proposed I/OMSMEFC can compensate various kinds of system uncertainties and external disturbances. Meanwhile, it can reduce the steady-state error more than the conventional sliding mode control (SMC). In addition, the sliding mode after the I/OMSMEFC will tend to be the ideal SMC, resulting in improved control performance and quantity. Sufficient conditions are given based on the Lyapunov stability theorem and numerical simulations are performed to verify the effectiveness of presented I/OMSMEFC for the chaotic synchronization accurately.

Sign in / Sign up

Export Citation Format

Share Document