scholarly journals Fast, large-scale model predictive control by partial enumeration

Automatica ◽  
2007 ◽  
Vol 43 (5) ◽  
pp. 852-860 ◽  
Author(s):  
Gabriele Pannocchia ◽  
James B. Rawlings ◽  
Stephen J. Wright
Automatica ◽  
2022 ◽  
Vol 135 ◽  
pp. 109947
Author(s):  
Steven W. Chen ◽  
Tianyu Wang ◽  
Nikolay Atanasov ◽  
Vijay Kumar ◽  
Manfred Morari

Automatica ◽  
2011 ◽  
Vol 47 (9) ◽  
pp. 2016-2022 ◽  
Author(s):  
Panagiotis Patrinos ◽  
Pantelis Sopasakis ◽  
Haralambos Sarimveis

2002 ◽  
Vol 12 (7) ◽  
pp. 775-795 ◽  
Author(s):  
Roscoe A. Bartlett ◽  
Lorenz T. Biegler ◽  
Johan Backstrom ◽  
Vipin Gopal

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Yi Ding ◽  
Zuhua Xu ◽  
Jun Zhao ◽  
Zhijiang Shao

Computation time is the main factor that limits the application of model predictive control (MPC). This paper presents a fast model predictive control algorithm that combines offline method and online optimization to solve the MPC problem. The offline method uses a k-d tree instead of a table to implement partial enumeration, which accelerates online searching operation. Only a part of the explicit solution is stored in the k-d tree for online searching, and the k-d tree is updated in runtime to accommodate the change in the operating point. Online optimization is invoked when searching on the k-d tree fails. Numerical experiments show that the proposed algorithm is efficient on both small-scale and large-scale processes. The average speedup factor in the large-scale process is at least 6, the worst-case speedup factor is at least 2, and the performance is less than 0.05% suboptimal.


2013 ◽  
Vol 14 (2) ◽  
Author(s):  
Noor Fachrizal

Biomass such as agriculture waste and urban waste are enormous potency as energy resources instead of enviromental problem. organic waste can be converted into energy in the form of liquid fuel, solid, and syngas by using of pyrolysis technique. Pyrolysis process can yield higher liquid form when the process can be drifted into fast and flash response. It can be solved by using microwave heating method. This research is started from developing an experimentation laboratory apparatus of microwave-assisted pyrolysis of biomass energy conversion system, and conducting preliminary experiments for gaining the proof that this method can be established for driving the process properly and safely. Modifying commercial oven into laboratory apparatus has been done, it works safely, and initial experiments have been carried out, process yields bio-oil and charcoal shortly, several parameters are achieved. Some further experiments are still needed for more detail parameters. Theresults may be used to design small-scale continuous model of productionsystem, which then can be developed into large-scale model that applicable for comercial use.


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