[
[1] Camacho, E. F., “Model Predictive Control”, Ed. Springer, 2004.
]Search in Google Scholar
[
[2] David, L., “Tehnici de optimizare”, Petru Maior University, Tg. Mureș, 2000.
]Search in Google Scholar
[
[3] Kirk, D. E., “Optimal Control Theory: An Introduction”, Englewood Cliffs, NJ: Prentice Hall, 1970, reprinted by Dover, Mineola, NY, 2004.
]Search in Google Scholar
[
[4] Goodwin, G. C., Seron, M. M. and De Dona J.A., “Costrained Control and Estimation”, Springer, 2004.
]Search in Google Scholar
[
[5] Boyd, S. and Vanderberghe, L., “Convex Optimization”, Cambridge Univ. Press, 2009.
]Search in Google Scholar
[
[6] Nocedal, J. and Wright, S. J., “Numerical Optimization”, Springer 1999.10.1007/b98874
]Search in Google Scholar
[
[7] György, K., Dávid, L., “Comparision between unconstrained MPC and discrete time LQR algorithms with finite horizon”, XIX International Confeence on Computer Science, 2009, Tg. Mureş, 8-11 oct. 2009, pp. 220–226.
]Search in Google Scholar
[
[8] György, K., Dávid L. and Kelemen, A., “Theoretical Study of the Nonlinear Control Algorithms with Continuous and Discrete-Time State Dependent Riccati Equation”, Inter-Eng 2015 “Petru Maior” University, Tg. Mureş, oct., 2015, Elsevier, Procedia Technology 22 (2016), pp. 582–591.10.1016/j.protcy.2016.01.123
]Search in Google Scholar
[
[9] Gyorgy, K., “The LQG Control Algorithms for Nonlinear Dynamic Systems”, Inter-Eng 2018 “Petru Maior” University, Tg. Mureş, oct, 2018, Science Direct, Procedia Technology 32 (2019), pp. 553–563.10.1016/j.promfg.2019.02.252
]Search in Google Scholar
[
[10] Ljung, L., “System identification, Theory for the User”, Prentice Hall, 1999.10.1002/047134608X.W1046
]Search in Google Scholar
[
[11] Ata, B., Coban, R., “Linear Quadratic Optimal Control of an Inverted Pendulum on a Cart using Artificial Bee Colony Algorithm. An Experimental Study”, Cukurova University Journal of the Faculty of Engineering and Arhitecture (June, 2017), 32 (2), pp. 109–123.
]Search in Google Scholar
[
[12] Priyadarshi, P., “Optimal Controller Design for Inverted Pendulum”, Department of Electrical Engineering, National Institute of Technology, Rourkela, India, 2013, http://ethesis.nitrkl.ac.in//1/211EE3342.pdf.
]Search in Google Scholar
[
[13] Yucelen, T., Sadahalli, A. S. and Pourboghrat, F., “Online Solution of State Dependent Riccati Equation for nonlinear System Satbilization”, Amer. Control Conf., Baltimore, MD, June 2010, pp. 6336–6341.10.1109/ACC.2010.5531496
]Search in Google Scholar
[
[14] Dutka, A. S., Ordys, A. W., Grimble, M. J. “Optimized Discrete-Time State Dependent Riccati Equation Regulator”, in Amer. Control Conf., Portland, OR, June 2005, pp. 2293–2298.
]Search in Google Scholar
[
[15] Chang, I., Bentsman, J., “Constrained Discrete-Time State-Dependent Riccati Equation Technique: A Model Predictive Control Approach”, 52nd IEEE Conference on Decision and Control Dec. 10-13, 2013. Florence, Italy, pp. 5125–5130.
]Search in Google Scholar
