الفهرس 
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Abstract
In the 2nd half of the 20th century, Technological growth had changed the conduction way of the warfare. In particular, autonomous missile systems have allowed several countries the ability to provide long-range offensive strikes and defensive fire suppression while simultaneously providing a high degree of precision targeting. Whereas the missile is autonomous, its control system should contribute acceptable flight stability while ensuring sufficient response to tracking commands. Thus, with the wide spread of the use in AI technology in different fields this thesis is dedicated to inspect the advantage of the modern control methods for autopilot formation for various approaches including the autopilot sensitivity to missile flexibility. This work is paying attention with developing the performance of a SSM (surface-to-surface missile) aerodynamically controlled system via both predictive and Neuro-Fuzzy controllers. The analysis and design demand somehow precise system model with different uncertainties via 6-DOF(Six Degree Of Freedom) simulation. The executive differential equations of the missile motion are obtained from the model of missile’s aerodynamic that built by means of the Missile Datcom software. Hence getting the required aerodynamics stability derivatives by the resulted aerodynamics data, the required transfer functions are calculated based on the equations of motion for the missile. Then the yaw autopilot are designed using the calculated transfer functions. Lateral (Yaw) autopilots are designed to recognize the command signal produced by the guidance laws. The form of guidance commands are in the lateral acceleration components. By using the whole system model, the computer simulators are made by using the MATLAB/Simulink software, where predictive and hybrid AI Neuro-Fuzzy Yaw autopilots are compared proving that the more stability and less processing time is for hybrid AI Neuro-Fuzzy controller. The evaluation considered different sources of uncertainties including dynamics, external disturbance, measurement noise, nonlinearities and missile body flexibility.