System analysis and intelligent SNC control of a Prey-predator bioreactor

This paper investigates the dynamics of a special bioreactor that has Prey-predator interactions. Through analysing the system’s Jacobian matrix, the wash out, limit cycle as well as the Hopf bifurcation phenomena are characterized. To achieve stable and high performance operation of the bioreactor, we present an intelligent control strategy using a bounded single neuron controller (SNC). It is found that with the parameter tuning algorithm the SNC can learn to control the bioreactor in an autonomous and adaptive way through simply the output performance feedback. Besides, simulation results show that the proposed intelligent SNC control is easy to implement and can provide excellent control performance despite the influence of unexpected system perturbation as well as the process disturbances.