1 |
Optimal input design for system identification using spectral decomposition Mohan S, Mithun IM, Bhikkaji B International Journal of Control, 93(4), 980, 2020 |
2 |
Data-driven modeling of product crystal size distribution and optimal input design for batch cooling crystallization processes Liu JX, Liu T, Chen JH, Yue H, Zhang FK, Sun FR Journal of Process Control, 96, 1, 2020 |
3 |
Identification of symmetric noncausal processes Lu QG, Loewen PD, Gopaluni RB, Forbes MG, Backstrom JU, Dumont GA, Davies MS Automatica, 103, 515, 2019 |
4 |
Block-based minimum input design for the structural controllability of complex networks Bai T, Li SY, Zou YY, Yin X Automatica, 107, 68, 2019 |
5 |
Set-invariance characterizations of discrete-time descriptor systems with application to active mode detection Wang Y, Olaru S, Valmorbida G, Puig V, Cembrano G Automatica, 107, 255, 2019 |
6 |
Analysis of averages over distributions of Markov processes Valenzuela PE, Rojas CR, Hjalmarsson H Automatica, 98, 354, 2018 |
7 |
On input design for regularized LTI system identification: Power-constrained input Mu BQ, Chen TS Automatica, 97, 327, 2018 |
8 |
Input Design for Kernel-Based System Identification From the Viewpoint of Frequency Response Fujimoto Y, Maruta I, Sugie T IEEE Transactions on Automatic Control, 63(9), 3075, 2018 |
9 |
On robust input design for nonlinear dynamical models Valenzuela PE, Dahlin J, Rojas CR, Schon TB Automatica, 77, 268, 2017 |
10 |
Minimum Resource Commitment for Reachability Specifications in a Discrete Time Linear Setting Vignali R, Prandini M IEEE Transactions on Automatic Control, 62(6), 3021, 2017 |