Combining artificial intelligence and robust techniques with MRAC in fault tolerant control
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Abstract
The investigation of this thesis presents different approaches for Fault Tolerant Control based on Model Reference Adaptive Control, Artificial Neural Networks, PID controller optimized by a Genetic Algorithm, Nonlinear, Robust and Linear Parameter Varyin