ARMA Time Series Modeling, Forecasting, Testing, and Explanation
Comprehensive guide to ARMA time series modeling, forecasting, model validation, and interpretation with code implementation insights
Wiener-Hammerstein Modeling of Power Amplifiers
Wiener-Hammerstein Modeling and Memory Polynomial Models for Power Amplifiers with Implementation Approaches
Modeling of Four-Degree-of-Freedom Suspension Systems and Methods for Calculating Free Vibration Frequencies
Modeling approaches for four-degree-of-freedom suspension systems with methodologies for calculating free vibration frequencies, half-wave input response analysis, forced vibration response simulation, frequency response function evaluation, and free vibration response characteristics
Missile Ballistic Simulation
Missile trajectory simulation using MATLAB with modular modeling approach. The simulation enables analysis of missile performance characteristics and flight patterns. While step-by-step modeling is required to gain practical knowledge, MATLAB proves to be an efficient simulation tool among various available options. Key implementation aspects include modular system decomposition, differential equation solvers for trajectory calculation, and visualization functions for result analysis.
Aircraft Six-Degree-of-Freedom (6-DoF) Modeling with MATLAB Implementation
Comprehensive 6-DoF aircraft modeling, trimming, and linearization using MATLAB programs with detailed algorithm explanations and code implementation approaches
Modeling and Simulation of a Double Inverted Pendulum System
This resource provides a comprehensive approach to modeling and simulating a double inverted pendulum, featuring Lagrangian mechanics derivation and control system implementation. Includes MATLAB/Simulink code examples with PID and LQR controller implementations for stability analysis.
Aircraft Orbit Simulation Model
Aircraft orbit simulation model developed with reference to standard flight vehicle textbooks, complete with code implementation framework
Time Series Analysis, Modeling and Forecasting using MATLAB
Time series analysis, modeling and forecasting with MATLAB - featuring key algorithms, statistical functions, and predictive modeling techniques
Modeling of AR Random Processes with Spectrum Estimation Methods
Modeling of AR random processes, given an AR process model, with power spectrum estimation using both Yule-Walker equations and covariance methods, including algorithm implementation considerations and key computational functions
LSSVM Source Code for Modeling and Prediction
This LSSVM source code provides an excellent toolkit for modeling and prediction tasks, featuring remarkable convenience, simplicity, and practical implementation with well-structured code organization