0000000000874247

AUTHOR

Yanqing Liu

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A simplified predictive control of constrained Markov jump system with mixed uncertainties

2014

Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/475808 Open Access 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 pre…

Mathematical optimizationArticle Subjectlcsh:MathematicsApplied MathematicsPolytopeState (functional analysis)Analysis; Applied Mathematicslcsh:QA1-939VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Set (abstract data type)Model predictive controlPolyhedronControl theoryTrajectoryInvariant (mathematics)AnalysisMathematicsMarkov jump
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