| Title |
Computation of robustly stabilizing PID controllers for interval systems
|
|---|---|
| Published in |
SpringerPlus, May 2016
|
| DOI | 10.1186/s40064-016-2341-z |
| Pubmed ID | |
| Authors |
Radek Matušů, Roman Prokop |
| Abstract |
The paper is focused on the computation of all possible robustly stabilizing Proportional-Integral-Derivative (PID) controllers for plants with interval uncertainty. The main idea of the proposed method is based on Tan's (et al.) technique for calculation of (nominally) stabilizing PI and PID controllers or robustly stabilizing PI controllers by means of plotting the stability boundary locus in either P-I plane or P-I-D space. Refinement of the existing method by consideration of 16 segment plants instead of 16 Kharitonov plants provides an elegant and efficient tool for finding all robustly stabilizing PID controllers for an interval system. The validity and relatively effortless application of presented theoretical concepts are demonstrated through a computation and simulation example in which the uncertain mathematical model of an experimental oblique wing aircraft is robustly stabilized. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 33% |
| Student > Ph. D. Student | 2 | 22% |
| Unknown | 4 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 33% |
| Unknown | 6 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 September 2016.
All research outputs
#15,384,302
of 22,888,307 outputs
Outputs from SpringerPlus
#935
of 1,850 outputs
Outputs of similar age
#207,842
of 333,300 outputs
Outputs of similar age from SpringerPlus
#101
of 196 outputs
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