System Identification Experiment Solutions

In the system identification experiment solutions, we employ correlation analysis methodology to identify impulse responses. This comprehensive process includes problem formulations, MATLAB M-file program implementations, and complete experimental documentation. Initially, we design experimental procedures based on the given problem statements. Subsequently, we develop M-file programs to process experimental data and perform analytical computations. During the analysis phase, we implement correlation analysis algorithms to identify system impulse responses, which typically involves computing cross-correlation functions between input and output signals while handling noise considerations. Finally, we compile detailed experimental reports that thoroughly document the methodology, implementation steps using MATLAB functions like xcorr() for correlation computations, and analytical results. This structured approach enhances understanding of system identification principles and methodologies, establishing a solid foundation for future academic studies and research applications in dynamic system modeling.