A tuning methodology of Model Predictive Control design for energy efficient building thermal control

2019 ◽  
Vol 21 ◽  
pp. 28-36 ◽  
Author(s):  
M. Luzi ◽  
M. Vaccarini ◽  
M. Lemma
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Energy Efficient ◽  
Control Design ◽  
Thermal Control ◽  
Energy Efficient Building

scholarly journals Use of model predictive control and weather forecasts for energy efficient building climate control

2012 ◽  
Vol 45 ◽  
pp. 15-27 ◽  
Author(s):  
Frauke Oldewurtel ◽  
Alessandra Parisio ◽  
Colin N. Jones ◽  
Dimitrios Gyalistras ◽  
Markus Gwerder ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Energy Efficient ◽  
Climate Control ◽  
Weather Forecasts ◽  
Energy Efficient Building

scholarly journals Artificial Pancreas: Model Predictive Control Design from Clinical Experience

2013 ◽  
Vol 7 (6) ◽  
pp. 1470-1483 ◽  
Author(s):  
Chiara Toffanin ◽  
Mirko Messori ◽  
Federico Di Palma ◽  
Giuseppe De Nicolao ◽  
Claudio Cobelli ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Clinical Experience ◽  
Predictive Control ◽  
Artificial Pancreas ◽  
Control Design

scholarly journals Stable Model Predictive Control Design: Sequential Approach

2011 ◽  
Vol 62 (2) ◽  
pp. 99-103
Author(s):  
Vojtech Veselý
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Design Method ◽  
Control Design ◽  
Sequential Design ◽  
Stable Model ◽  
Sequential Approach ◽  
Prediction Horizon ◽  
Guaranteed Cost ◽  
One Step

Stable Model Predictive Control Design: Sequential Approach The paper addresses the problem of output feedback stable model predictive control design with guaranteed cost. The proposed design method pursues the idea of sequential design for N prediction horizon using one-step ahead model predictive control design approach. Numerical examples are given to illustrate the effectiveness of the proposed method.

scholarly journals Knee-stretched walking with toe-off and heel-strike for a position-controlled humanoid robot based on model predictive control

2021 ◽  
Vol 18 (4) ◽  
pp. 172988142110362
Author(s):  
Zelin Huang ◽  
Zhangguo Yu ◽  
Xuechao Chen ◽  
Qingqing Li ◽  
Libo Meng ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Energy Efficient ◽  
Humanoid Robot ◽  
Center Of Mass ◽  
Heel Strike ◽  
Gait Generation ◽  
Double Support ◽  
Transition Moments ◽  
Efficient Gait

Knee-stretched walking is considered to be a human-like and energy-efficient gait. The strategy of extending legs to obtain vertical center of mass trajectory is commonly used to avoid the problem of singularities in knee-stretched gait generation. However, knee-stretched gait generation utilizing this strategy with toe-off and heel-strike has kinematics conflicts at transition moments between single support and double support phases. In this article, a knee-stretched walking generation with toe-off and heel-strike for the position-controlled humanoid robot has been proposed. The position constraints of center of mass have been considered in the gait generation to avoid the kinematics conflicts based on model predictive control. The method has been verified in simulation and validated in experiment.

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