Control and Decision in Energy
Semester:
Fall
Offered:
2020 Main Bibliography:
- J. Rawlings, D. Mayne, M. Diehl, Model Predictive Control: Theory, Comp., and Design Nob Hill, 2017
- Liuping Wang, Model Predictive Control System Design and Implementation Using MATLAB, Springer, 2009
- Borrelli, Bemporad, Morari, Predictive Control for Linear and Hybrid Systems, Cambridge, 2017.
Syllabus:
- Introduction and challenges in cyber-physical and energy systems
- Discrete-time systems state model representation
- Introduction to the design of Model-based Predictive Control systems (MPC)
- Adding Constraints to the MPC design
- Nonlinear model-based predictive control (NMPC)
- Decentralized and distributed control structures (DMPC)
- Modeling and control of hybrid systems
