Three MIMO Predictive Control Algorithms

Resource Overview

Modular and easily editable MATLAB files for simulating three Multi-Input Multi-Output (MIMO) predictive control algorithms. These implementation files complement the accompanying textbook, enabling students to systematically study predictive control from prediction equation formulation through closed-loop simulation. The code includes implementations of key algorithms with configurable parameters for custom experimentation.

Detailed Documentation

The provided MATLAB files offer customizable implementations for simulating three distinct MIMO predictive control algorithms. These resources serve as practical companions to the textbook, allowing students to comprehensively explore predictive control methodologies. The implementation covers the complete development cycle from constructing prediction equations to executing closed-loop simulations. The code architecture employs modular design with separate functions for prediction model formulation, optimization routines, and controller implementation. Key algorithms include generalized predictive control (GPC), dynamic matrix control (DMC), and state-space predictive control variants. Students can modify parameters such as prediction horizons, control weights, and system constraints to analyze algorithm performance under different configurations. Through hands-on experimentation with these files, learners gain deeper insights into practical implementation challenges and solution strategies discussed in the textbook.