H∞ control for discrete‐time Markovian jump linear systems with partly unknown transition probabilities

By Lixian Zhang, El Kebir Boukas. 2009

223 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/e2565b6ccae3e276f4d4a11bb016e64b44421925

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. José Claudio Geromel
2. Alim P. C. Gonçalves
3. André Ricardo Fioravanti

In Control and Systems Engineering

1. José Claudio Geromel
2. Alim P. C. Gonçalves
3. André Ricardo Fioravanti

Citations in the corpus

• Filtering of discrete‐time Markov jump linear systems with uncertain transition probabilities (2011, methodology): “Among the different ways to incorporate uncertainty on the transition probability matrix in the current literature we can cite element-wise bounds for the transition probabilities [5, 6]; polytopic uncertainties [7–9], or partly known probabilities [10, 11].”