Abstract :
This paper deals with a catalytic continuous stirred tank reactor example, modeled as a two-input constrained nonlinear system.
Under the Lyapunov-based linearization strategy, the saturation-type parameterized control design can reduce the effect of actuator
subject to amplitude and rate constraints. Using the two-input control framework, it turns out to be robust against unknown disturbances,
and it also ensures the asymptotic output regulation. For the purpose of practical implementation, the adaptive-like
control methodology is developed. A reduced-order nonlinear observer plus the integration of both controllers is synthesized. Our
results are illustrated via numerical simulation.
Keywords :
Non-minimum phase process , State estimation design , Dynamic actuator constraint , Lyapunov-based linearization design