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The design and simulation results indicate that the fast modes of controller are eliminated obviously, and that the dynamic characteristics of autopilot are stable when flight Mach number and altitude vary.
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Several practical aspects of the control problem are examined, and criteria for choosing the auxiliary lag, the modes of control, and the controller settings are established.
The proposal also includes an experimental setup and testing procedure specific to self-adaptive systems, as well as an adapted version of the CRASH failure scale that characterizes the different failure modes of a controller for self-adaptive software systems.
In order to increase the robustness of the closed loop systems, the key idea is that a sliding mode type of controller is employed.
Furthermore the proposed supervisor controller determines the mode of the controller to guarantee robust stability of the total closed-loop system.
(omega_{c}): the resonance frequency of the fundamental mode of the controller cavity.
The failure-mode of the controller means its total disconnection from the plant.
Only in the data bus from the IM, the clock signal remains unconnected to realize the power saving mode of the controller.
The second mode of the controller is working in case of a shockwave threat, aiming for traffic stabilization.
The first mode of the controller is responsible for keeping pollutant concentrations below prescribed limits under stable conditions.
In contrast to the previous works, sliding mode of this controller is free from the influence of disturbance, and the system has both better robustness and quick tracking.
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