Simulation and Application of Generalized Predictive Control (GPC) in MATLAB
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Resource Overview
Implementation and testing of Generalized Predictive Control (GPC) algorithms through MATLAB simulations, with practical applications in robotics, autonomous vehicles, and aerospace systems
Detailed Documentation
Generalized Predictive Control (GPC) represents a widely-used control algorithm that plays a significant role in various applications. In MATLAB, simulations can be conducted to evaluate GPC performance through systematic testing and parameter tuning. The implementation typically involves key functions like system identification using ARIMAX models, cost function optimization with quadratic programming (quadprog), and rolling horizon prediction. GPC finds practical implementations in robotics for trajectory tracking, intelligent vehicles for adaptive cruise control, and aerospace systems for precision maneuvering. Mastering GPC simulation and application is essential for enhancing control system design capabilities and expanding implementation domains across industrial automation and advanced control systems.
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