Discrete-Time Model Predictive Control ( Advances in Discrete Time Systems )

Publication series ： Advances in Discrete Time Systems

Author： Li Dai Yuanqing Xia Mengyin Fu and Magdi S. Mahmoud

Publisher： IntechOpen‎

Publication year： 2012

E-ISBN: INT0343251122

P-ISBN(Paperback): 9789535108757

P-ISBN(Hardback): 9789535108757

Subject： TP39 computer application

Keyword：计算机的应用

Language： ENG

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Discrete-Time Model Predictive Control

Chapter

Discrete-Time Model Predictive Control

1. Introduction

2. Model Predictive Control

2.1. Characteristics of MPC

2.2. Essence of MPC

3. Linear Model Predictive Control

3.1. Mathematical formulation

3.2. Feasibility

3.3. Closed loop stability

3.4. Open-loop performance objective versus closed loop performance

4. Nonlinear model predictive control

4.1. Difficulties of NMPC

4.2. Closed-loop stability

4.2.1. Infinite horizon NMPC

4.2.2. Finite horizon NMPC

5. Robust model predictive control

5.1. Min-Max RMPC methods

5.2. LMI-based RMPC methods

5.3. Our works

5.4. Conclusion

6. Recent developments in stochastic MPC

6.1. Basic SMPC problem

6.2. Earlier work

Applications

7. Networked control systems

7.1. Characteristics of NCSs

8.2. The reasons why DMPC is adopted

8.3. DMPC over network information exchange

9. Conclusions

Author details

References

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