A distributed and self-calibrating model-predictive controller for energy and thermal management of high-performance multicores

2011 ◽  
Author(s):  
A Bartolini ◽  
M Cacciari ◽  
A Tilli ◽  
L Benini
Keyword(s):  
Thermal Management ◽  
High Performance ◽  
Model Predictive Controller ◽  
Predictive Controller

A high performance model predictive controller:

2001 ◽  
Vol 9 (8) ◽  
pp. 829-835 ◽  
Author(s):  
Wim Van Brempt ◽  
Ton Backx ◽  
Jobert Ludlage ◽  
Peter Van Overschee ◽  
Bart De Moor ◽  
...  
Keyword(s):  
High Performance ◽  
Performance Model ◽  
Model Predictive Controller ◽  
Predictive Controller

scholarly journals Tracking Model Predictive Control for Docking Maneuvers of a CubeSat with a Big Spacecraft

Aerospace ◽  
2021 ◽  
Vol 8 (8) ◽  
pp. 197
Author(s):  
Fabrizio Stesina
Keyword(s):  
Predictive Control ◽  
High Performance ◽  
Complex Model ◽  
Model Predictive Controller ◽  
Environmental Disturbances ◽  
Small Satellites ◽  
Safety Constraints ◽  
Predictive Controller ◽  
Tracking Model ◽  
External Inspection

The release and retrieval of a CubeSat from a big spacecraft is useful for the external inspection and monitoring of the big spacecraft. However, docking maneuvers during the retrieval are challenging since safety constraints and high performance must be achieved, considering the small dimensions and the actual small satellites technology. The trajectory control is crucial to have a soft, accurate, quick, and propellant saving docking. The present paper deals with the design of a tracking model predictive controller (TMPC) tuned to achieve the stringent docking requirements for the retrieval of a CubeSat within the cargo bay of a large cooperative vehicle. The performance of the TMPC is verified using a complex model that includes non-linearities, uncertainties of the CubeSat parameters, and environmental disturbances. Moreover, 300 Monte Carlo runs demonstrate the robustness of the TMPC solution.

scholarly journals A High Performance Model Predictive Controller: Application on a Polyethylene Gas Phase Reactor

2000 ◽  
Vol 33 (10) ◽  
pp. 509-514
Author(s):  
Wim Van Brempt ◽  
Ton Backx ◽  
Jobert Ludlage ◽  
Peter Van Overschee ◽  
Bart De Moor ◽  
...  
Keyword(s):  
Gas Phase ◽  
High Performance ◽  
Performance Model ◽  
Model Predictive Controller ◽  
Predictive Controller

Enlarging the region of stability in robust model predictive controller based on dual-mode control

2021 ◽  
pp. 014233122110123
Author(s):  
Fatemeh Khani ◽  
Mohammad Haeri
Keyword(s):  
Stability Region ◽  
Linear Matrix ◽  
Input State ◽  
Dual Mode ◽  
Model Predictive Controller ◽  
Mode Control ◽  
Robust Model ◽  
Output Constraints ◽  
Predictive Controller ◽  
The Stability

Industrial processes are inherently nonlinear with input, state, and output constraints. A proper control system should handle these challenging control problems over a large operating region. The robust model predictive controller (RMPC) could be an linear matrix inequality (LMI)-based method that estimates stability region of the closed-loop system as an ellipsoid. This presentation, however, restricts confident application of the controller on systems with large operating regions. In this paper, a dual-mode control strategy is employed to enlarge the stability region in first place and then, trajectory reversing method (TRM) is employed to approximate the stability region more accurately. Finally, the effectiveness of the proposed scheme is illustrated on a continuous stirred tank reactor (CSTR) process.

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