1. Alemohammad, M. and Huang, B. (2012). Compensation of control valve stiction through controller tuning. Journal of Process Control, 22(9), 1800-1819. URL http://www.sciencedirect.com/science/article/pii/S095915241200193X.
2. Arumugam, Srinivasan; Panda, R.C. (2014). Identification of stiction nonlinearity for pneumatic control valve using anfis method. International Journal of Engineering & Technology, 6(2), 570578. URL http://www.enggjournals.com/ijet/ docs/IJET14-06-02-028.pdf.
3. Babji, S., Nallasivam, U., and Rengaswamy, R. (2012). Root cause analysis of linear closed-loop oscillatory chemical process systems. Industrial & Engineering Chemistry Research, 51(42), 13712-13731. URL http: //pubs.acs.org/doi/pdf/10.1021/ie2024323.
4. Modeling, detection and quantification, and compensation of stiction in control loops: The state of the art;Brásio;Industrial & Engineering Chemistry Research,2014
5. Brásio, A.S.R., Romanenko, A., and Fernandes, N.C.P. (2014b). Stiction detection and quantification as an application of optimization. In B. Murgante, S. Misra, A.M.A.C. Rocha, C. Torre, J.G. Rocha, M.I. Falcao, D. Taniar, B.O. Apduhan, and O. Gervasi (eds.), Computational Science and Its Applications - ICCSA 2014, volume 8580 of Lecture Notes in Computer Science, 169179. Springer International Publishing. URL http:// dx.doi.org/10.1007/978-3-319-09129-7\_13