[Alnejaili, T., Drid, S., Mehdi, D., Chrifi-Alaoui, L. and Sahraoui, H. (2015). Sliding mode control of a multi-source renewable power system, 3rd International Conference on Control Engineering Information Technology, Tlemcen, Algeria, pp. 1–6.10.1109/CEIT.2015.7233129]Search in Google Scholar
[Apkarian, P. and Tuan, H.D. (2000). Robust control via concave minimization local and global algorithms, Transactions on Automatic Control45(2): 299–305.10.1109/9.839953]Search in Google Scholar
[Armstrong, E.H. (1914). Operating features of the audion, Electrical World (December 12): 1149–1152.]Search in Google Scholar
[Bartoszewicz, A. and Leśniewski, P. (2014). An optimal sliding mode congestion controller for connection-oriented communication networks with lossy links, International Journal of Applied Mathematics and Computer Science24(1): 87–97, DOI: 10.2478/amcs-2014-0007.10.2478/amcs-2014-0007]Open DOISearch in Google Scholar
[Bazzi, A.M. and Krein, P.T. (2011). Concerning “Maximum power point tracking for photovoltaic optimization using ripple-based extremum seeking control”, IEEE Transactions on Power Electronics26(6): 1611–1612.10.1109/TPEL.2010.2093605]Search in Google Scholar
[Belkaid, A., Colak, I. and Kayisli, K. (2016). Optimum control strategy based on an equivalent sliding mode for solar systems with battery storage, IEEE International Conference on Power Electronics and Motion Control (PEMC), Varna, Bulgaria, pp. 1262–1268.10.1109/EPEPEMC.2016.7752177]Search in Google Scholar
[Cassandras, C.G. and Lin, X. (2013). Optimal control of multi-agent persistent monitoring systems with performance constraints, in D.C. Tarraf (Ed.), Control of Cyber-Physical Systems, Lecture Notes in Control and Information Sciences, Vol. 449, Springer, Cham, pp. 281–299.10.1007/978-3-319-01159-2_15]Search in Google Scholar
[Davila, J. and Poznyak, A. (2010). Attracting ellipsoid method application to designing of sliding mode controllers, 11th International Workshop on Variable Structure Systems (VSS), Mexico City, Mexico, pp. 83–88.10.1109/VSS.2010.5544627]Search in Google Scholar
[Dimitrova, N. and Krastanov, M. (2009). Nonlinear stabilizing control of an uncertain bioprocess model, International Journal of Applied Mathematics and Computer Science19(3): 441–454, DOI: 10.2478/v10006-009-0036-0.10.2478/v10006-009-0036-0]Open DOISearch in Google Scholar
[Eichfelder, G., Krüger, C. and Schöbel, A. (2017). Decision uncertainty in multiobjective optimization, Journal of Global Optimization69(2): 485–510.10.1007/s10898-017-0518-9]Search in Google Scholar
[Ghadimi, S. and Lan, G. (2012). Optimal stochastic approximation strongly convex stochastic composite optimization. I: A generic algorithmic framework, SIAM Journal on Optimization22(4): 1469–1492.10.1137/110848864]Search in Google Scholar
[Jignesh, D.J., Sripati, U. and Kulkarni, M. (2013). Performance of QPSK modulation for FSO geo-synchronous satellite communication link under atmospheric turbulence, International Conference Emerging Research Areas, Kanjirapally, India, pp. 1–5.]Search in Google Scholar
[Liu, X., Chen, X. and Kong, F. (2015). Utilization Control and Optimization of Real-Time Embedded Systems, https://ieeexplore.ieee.org/document/8187024.10.1561/9781680830637]Search in Google Scholar
[Liu, X., Hu, F. and Su, X. (2018). Sliding mode control of a class of nonlinear systems, 7th IEEE Conference on Data Driven Control and Learning Systems (DDCLS), Hubei, China, pp. 1069–1072.10.1109/DDCLS.2018.8515950]Search in Google Scholar
[Mills, G. and Krstic, M. (2015). Maximizing higher derivatives of unknown maps with extremum seeking, 54th IEEE Conference on Decision and Control (CDC), Osaka, Japan, pp. 5648–5653.10.1109/CDC.2015.7403105]Search in Google Scholar
[Montesinos-García, J.J. and Martínez-Guerra, R. (2017). A fractional exponential polynomial state observer in secure communications, 14th International Conference on Electrical Engineering, Mexico, Mexico, pp. 1–6.10.1109/ICEEE.2017.8108896]Search in Google Scholar
[Nana, S., Yugang, N. and Bei, C. (2012). Optimal integral sliding mode for uncertain discrete time systems, 31st Chinese Control Conference, Hefei, China, pp. 3155–3159.]Search in Google Scholar
[Perruquetti, W. and Barbot, J.P. (2002). Sliding Mode Control in Engineering, M. Dekker, New York, NY.10.1201/9780203910856]Search in Google Scholar
[Poznyak, A. (2018). Stochastic super-twist sliding mode controller, IEEE Transactions on Automatic Control63(5): 1538–1544.10.1109/TAC.2017.2755594]Search in Google Scholar
[qun Mei, W. (2013). Optimal control algorithm of multivariate second-order distributed parameter systems based on Fourier transform, 25th Chinese Control and Decision Conference (CCDC), Guiyang, China, pp. 4623–4627.10.1109/CCDC.2013.6561770]Search in Google Scholar
[Raju, B.V.S.S.N. and Rao, K.D. (2009). Blind robust multiuser detection in synchronous chaotic modulation systems, Annual IEEE India Conference, Gujarat, India, pp. 1–4.10.1109/INDCON.2009.5409470]Search in Google Scholar
[Sahneh, F.D., Hu, G. and Xie, L. (2012). Extremum seeking control for systems with time-varying extremum, 31st Chinese Control Conference, Hefei, China, pp. 225–231.]Search in Google Scholar
[Sarkar, M.K., Arkdev and Singh, S.S.K. (2017). Sliding mode control: A higher order and event triggered based approach for nonlinear uncertain systems, 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON), Bangkok, Thailand, pp. 208–211.10.1109/IEMECON.2017.8079590]Search in Google Scholar
[Shi, P., Xia, Y., Liu, G. and Rees, D. (2006). On designing of sliding-mode control for stochastic jump systems, IEEE Transactions on Automatic Control51(1): 97–103.10.1109/TAC.2005.861716]Search in Google Scholar
[Shtessel, Y., Edwards, C., Fridman, L. and Levant, A. (2014). Birkh¨auser Basel, Springer Science+Business Media, New York, NY.]Search in Google Scholar
[Solis, C., Clempner, J.B. and Poznyak, A.S. (2019). Extremum seeking by a dynamic plant using mixed integral sliding mode controller with stochastic synchronous detection gradient estimation, International Journal of Robust and Nonlinear Control29(3): 702–714, DOI: 10.1002/rnc.4408.10.1002/rnc.4408]Open DOISearch in Google Scholar
[Solis, C.U., Clempner, J.B. and Poznyak, A.S. (2018a). Constrained extremum algorithms for with function measurements disturbed by stochastic noise, 15th International Conference on Electrical Engineering, Mexico City, Mexico, pp. 1–4.10.1109/ICEEE.2018.8533991]Search in Google Scholar
[Solis, C.U., Clempner, J.B. and Poznyak, A.S. (2018b). Continuous-time extremum seeking with function measurements disturbed by stochastic noise: A seeking synchronous detection approach, 15th International Conference Electrical Engineering, Mexico City, Mexico, pp. 1–5.10.1109/ICEEE.2018.8533980]Search in Google Scholar
[Stade, E. (2005). Fourier Analysis, Wiley-Interscience, Hoboken, NJ.10.1002/9781118165508]Search in Google Scholar
[Ulusoy, A., Liu, G., Trasser, A. and Schumacher, H. (2011). An analog synchronous QPSK demodulator for ultra-high rate wireless communications, German Microwave Conference (GeMiC), Darmstadt, Germany, pp. 1–4.10.1109/MWSYM.2011.5973210]Search in Google Scholar
[Wang, L., Chen, S. and Zhao, H. (2014). A novel fast extremum seeking scheme without steady-state oscillation, 33rd Chinese Control Conference, Nanjing, China, pp. 8687–8692.10.1109/ChiCC.2014.6896460]Search in Google Scholar
[Zhang, C. and Ordóñez, R. (2012). Extremum-seeking Control and Applications, Springer, London.10.1007/978-1-4471-2224-1]Search in Google Scholar