Parallelized Model Predictive Control
Model predictive control (MPC) has been used in many industrial applications because of its ability to produce optimal performance while accommodating constraints. However, its application on plants with fast time constants is difficult because of its computationally expensive algorithm. In this res...
Main Authors: | Soudbakhsh, Damoon (Contributor), Annaswamy, Anuradha M. (Contributor) |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor), Annaswamy, Anuradha (Contributor) |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2014-05-15T17:04:18Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Co-design of control and platform with dropped signals
by: Soudbakhsh, Damoon, et al.
Published: (2014) -
On Adaptive Control With Closed-Loop Reference Models: Transients, Oscillations, and Peaking
by: Travis E. Gibson, et al.
Published: (2013-01-01) -
Adaptive control of hypersonic vehicles in the presence of modeling uncertainties
by: Gibson, Travis Eli, et al.
Published: (2010) -
Adaptive Control and the NASA X-15-3 Flight Revisited
by: Dydek, Zachary T., et al.
Published: (2012) -
Impact of increased renewables on natural gas markets in eastern United States
by: Neha NANDAKUMAR, et al.
Published: (2017-05-01)