Linear Matrix Inequalities
By E. Ostertag. 2011
200 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Control and Systems Engineering, Numerical Analysis
View Paper: https://www.semanticscholar.org/paper/176b30ee866bc63803452257d3850940b49c7e70
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
- James Lam
- Baoyong Zhang
- Shengyuan Xu
- Jingrui Sun
- Jiongmin Yong
- Xunjing Li
- Jianhui Huang
- Stephen P. Boyd
In Control and Systems Engineering
In Numerical Analysis
- Yang Wang
- Stephen P. Boyd
- Xunjing Li
- Jiongmin Yong
- Jianhui Huang
- James Lam
- Shengyuan Xu
- Baoyong Zhang
Citations in the corpus
- Stochastic Linear Quadratic Optimal Control Problems in Infinite Horizon (2016, methodology): “Stochastic LQ problems in an infinite horizon and the associated algebraic Riccati equations (AREs, for short) were treated in [2, 3] via the linear matrix inequality and semidefinite programming techniques.”
- A Linear-Quadratic Optimal Control Problem for Mean-Field Stochastic Differential Equations in Infinite Horizon (2012, background): “Let us introduce the general notion of LMIs according to [1, 27], and develop it to solve our mean-field LQ problem.”
- Performance bounds for linear stochastic control (2009, background): “The optimal point is P = P, and the optimal value of this problem is J [8,1,20,3,7,29].”
- Relaxed results on reachable set estimation of time‐delay systems with bounded peak inputs (2016, background): “The reachable set of a dynamic system with bounded peak inputs is defined as a collection of system state vectors in presence of all admissible input disturbances [1].”