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A Simplified Predictive Control of Constrained Markov Jump System with Mixed Uncertainties
Joint Authors
Karimi, Hamid Reza
Liu, Yanqing
Yin, Yanyan
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-26
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
A simplified model predictive control algorithm is designed for discrete-time Markov jump systems with mixed uncertainties.
The mixed uncertainties include model polytope uncertainty and partly unknown transition probability.
The simplified algorithm involves finite steps.
Firstly, in the previous steps, a simplified mode-dependent predictive controller is presented to drive the state to the neighbor area around the origin.
Then the trajectory of states is driven as expected to the origin by the final-step mode-independent predictive controller.
The computational burden is dramatically cut down and thus it costs less time but has the acceptable dynamic performance.
Furthermore, the polyhedron invariant set is utilized to enlarge the initial feasible area.
The numerical example is provided to illustrate the efficiency of the developed results.
American Psychological Association (APA)
Yin, Yanyan& Liu, Yanqing& Karimi, Hamid Reza. 2014. A Simplified Predictive Control of Constrained Markov Jump System with Mixed Uncertainties. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1014023
Modern Language Association (MLA)
Yin, Yanyan…[et al.]. A Simplified Predictive Control of Constrained Markov Jump System with Mixed Uncertainties. Abstract and Applied Analysis No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1014023
American Medical Association (AMA)
Yin, Yanyan& Liu, Yanqing& Karimi, Hamid Reza. A Simplified Predictive Control of Constrained Markov Jump System with Mixed Uncertainties. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1014023
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1014023