Reduced order model predictive control for constrained linear systems with disturbance attenuation
Reduced order model predictive control for constrained linear systems with disturbance attenuation
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发表时间：
2009-11
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通讯作者：
Masaaki Takahashi;N. Hara;H. Kokame;K. Konishi
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作者：
Masaaki Takahashi;N. Hara;H. Kokame;K. Konishi
本文研究具有扰动衰减的输入约束离散时间线性系统的降阶模型预测控制。通过引入二次成本函数的分解技术，从降阶优化问题获得 MPC 定律。讨论了由此产生的 MPC 定律的基本属性。
This paper deals with reduced order model predictive control for input-constrained discrete-time linear systems with disturbance attenuation. By introducing a decomposition technique for a quadratic cost functional, an MPC law is obtained from a reduced order optimization problem. The fundamental properties of the resulting MPC law are discussed.