System identification of a twin rotor multi-input multi-output system using adaptive filters with pseudo random binary input

Keyphrases

• Adaptive Filter 100%
• System Identification 100%
• Twin Rotor Multi-Input Multi-Output System 100%
• Binary Input 100%
• Pseudorandomness 100%
• LMS Algorithm 66%
• Parametric Model 66%
• Helicopter 33%
• Controlled Experiment 33%
• Genetic Algorithm 33%
• Operating Range 33%
• NLMS Algorithm 33%
• Filter Structure 33%
• Impulse Response Model 33%
• Filter Taps 33%
• Finite Impulse Response 33%
• System Convergence 33%
• Laboratory Platform 33%
• Pitch Movement 33%
• Adaptive Finite Impulse Response Filter 33%
• PRBS Signal 33%
• Two-channel 33%
• High-order Nonlinear Systems 33%
• Resonant Mode 33%
• Cross-coupling 33%

Engineering

• Output System 100%
• Multi-Input Multi-Output 100%
• Rotors 100%
• Adaptive Filter 100%
• Binary Input 100%
• Frequency Domain 33%
• Time Domain 33%
• Genetic Algorithm 33%
• Step Size α 33%
• Operating Range 33%
• FIR Filter 33%
• Cross-Coupling 33%
• Control Experiment 33%
• Resonance Mode 33%
• Finite Impulse Response 33%
• Nonlinear System 33%