Necessary and Sufficient Conditions for Analysis and Synthesis of Markov Jump Linear Systems With Incomplete Transition Descriptions

By Lixian Zhang, James Lam. IEEE Transactions on Automatic Control, 2010

524 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/83cf42f4a8a28d385df0c4f567d88d81a772f691

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. Ju H. Park
2. Lixian Zhang

In Control and Systems Engineering

1. Hao Shen
2. Ju H. Park
3. Lixian Zhang
4. Peng Shi
5. James Lam

Citations in the corpus

• Extended Dissipative State Estimation for Markov Jump Neural Networks With Unreliable Links (2017, background): “Definition 2 [12]: System (u0004̃) with ω (k) ≡ 0 is said to be mean-square stochastically stable if for k ≥ 0 and each initial condition ζ(0) and λ0, the following condition holds:”