الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
Chaotic systems are highly nonlinear systems. Although they are deterministic their
main characteristic is that, their sensitivity to the initial conditions. Controlling such
systems is very challenging. The most challenging is to synchronize two chaotic
systems.
The principal investigation undertaken in this thesis is the development of control
and synchronization between two chaotic systems by using the intuitionistic fuzzy
controller (IFC) and optimized intuitionistic fuzzy controller (OIFC).
To deal with this problem, the intuitionistic fuzzy controller has been used to
overcome this problem and to synchronize two chaotic systems that have different
initial conditions very fast.
The main objective of the IFC scheme is to collect more information about the
system that enlarges the class of uncertainty, supplies flexibility, which represents
the incomplete knowledge in real systems. Optimizing the controller parameters is
one of the most perquisites in the field of control systems. So, an artificial bee
colony (ABC) has been used to optimize the scaling factor of IFC to make the
controller more robust to disturbance and uncertainty.
The simulation results based on many test cases have been accomplished to evaluate
the effectiveness of the proposed control and to demonstrate its reliability to control
and synchronize two chaotic systems with comparative results. The simulation
results based on the comparative study show that IFC has better performance than
fuzzy control (FC) based on the performance indices and the time response.
Practical implementation is a very effective way to better judge the proposed
controller in this thesis. So, a comparative study between IFC and OIFC has been
done depending on the results of the control in the loop (CIL). The results of CIL
show that OIFC is better than IFC based on the proposed test cases.