Fed-batch baker’s yeast cultivation is a complex biotechnological process from the viewpoint of measurement and control. It is a non-linear system with not well-known dynamics. The process is non-stationary due to metabolic changes, modifications in cell physiology and multiple increases in biomass concentration over the cultivation time. Furthermore, there is lack of cheap and reliable online ...

An adaptive version of growing and pruning RBF neural network has been used to predict the system output and implement Linear Model-Based Predictive Controller (LMPC) and Non-linear Model-based Predictive Controller (NMPC) strategies. A radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification. An Unscented Kalman Filter (UKF) algo...

An adaptive algorithm is introduced in this paper to estimate random communication time delay in Networked Control Systems (NCS). The algorithm updates an adaptive delay estimate using gradient descent method, and identifies plant parameters by a modified RLS. By using this algorithm, future control sequences are generated to compensate for the communication time delay when control signals are ...

Model predictive control (MPC) is a flexible and multivariable technique with better dynamic performance than linear control. However, MPC sensitive to parametric mismatches that reduce its capabilities. In this paper, we present new method of improving the robustness filter parameter variations/mismatches by easily implementable estimation. Furthermore, extend proposed for wider operating cond...