Due to the unknown nonlinear lens components, it is not possible to make a linear control model by feedback linearization.
Feedback linearization is a well-known technique in nonlinear control in which known system nonlinearities are canceled by the control input leaving a linear control problem.
The question of interest for many control engineers is: "When can a nonlinear process be controlled by a linear controller with the intended controller performance?" This question, which has received a great deal of interest over the last 10 years, remains open.
By selecting proper manipulated variables, the PEMFC does not exhibit sign change in gain and hence can be controlled by using a linear controller.
The adaptive control system uses the dynamic inversion concept, a dynamic compensator, a neural network trained by the system׳s estimated error vector (signal provided by a linear observer), and a Pseudo Control Hedging block.
Although many controller design approaches have been developed, most of the existing controllers are designed by using linear control theory.
Based on the concept of the steady-state region of attraction, which indicates the initial operating conditions that can be driven to a given setpoint, this analysis helps design engineers assess whether a process can be effectively controlled by linear control systems.
The pitch angle was controlled by a DC motor, while the roll angle was regulated by air pressure sent out from ducted fans controlled by linear control methods.
Air pressure is controlled by linear control methods to keep the balancing in the roll direction.
