In tutorials II and III, the state space MPC needs to calculate an inverse matrix, which may not be feasible for some systems. In this tutorial, a different state space MPC formulation using input increment is implemented in both m-function and simulink. In this formulation, the inverse matrix is avoided. Hence, it is more generic.
引用格式
Yi Cao (2026). MPC Tutorial IV - State Space MPC with input increment (https://ww2.mathworks.cn/matlabcentral/fileexchange/32040-mpc-tutorial-iv-state-space-mpc-with-input-increment), MATLAB Central File Exchange. 检索时间: .
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- Control Systems > Model Predictive Control Toolbox >
- Control Systems > Simulink Design Optimization >
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参考作品: MPC Tutorial II: Multivariable and State Space MPC V2.0, MPC Tutorial III: MPC in Simulink V2
| 版本 | 已发布 | 发行说明 | |
|---|---|---|---|
| 1.0.0.0 |
