Abstract
A robust multivariable control design methodology is applied to a nonlinear bacterial growth system. The bacterial system is modeled in the time domain with white noises present in both the state dynamics and the measurement equations. The robust design is based on the properties of linear quadratic Gaussian (LQG) and loop transfer recovery (LTR) techniques. The feasibility of this control design approach is evaluated.
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