| 1 |
Dynamic data-driven identification of battery state-of-charge via symbolic analysis of input-output pairs
Li Y, Chattopadhyay P, Ray A
Applied Energy, 155, 778, 2015 |
| 2 |
Invertibility and nonsingularity of Boolean control networks
Zhang KZ, Zhang LJ, Xie LH
Automatica, 60, 155, 2015 |
| 3 |
Identification of the battery state-of-health parameter from input-output pairs of time series data
Li Y, Chattopadhyay P, Ray A, Rahn CD
Journal of Power Sources, 285, 235, 2015 |
| 4 |
On Boolean control networks with maximal topological entropy
Laschov D, Margaliot M
Automatica, 50(11), 2924, 2014 |
| 5 |
Symbolic dynamics of Boolean control networks
Hochma G, Margaliot M, Fornasini E, Valcher ME
Automatica, 49(8), 2525, 2013 |
| 6 |
Early Estimation of Faults in Induction Motors Using Symbolic Dynamic-Based Analysis of Stator Current Samples
Gupta RA, Wadhwani AK, Kapoor SR
IEEE Transactions on Energy Conversion, 26(1), 102, 2011 |
| 7 |
The Capabilities of Chaos and Complexity
Abel DL
International Journal of Molecular Sciences, 10(1), 247, 2009 |
| 8 |
Flow regime transition in a trickle bed with structured packing examined with conductimetric probes
Muzen A, Cassanello MC
Chemical Engineering Science, 62(5), 1494, 2007 |
| 9 |
A symbolic approach to performance analysis of quantized feedback systems: The scalar case
Fagnani F, Zampieri S
SIAM Journal on Control and Optimization, 44(3), 816, 2005 |
