Demand Management Based on Model Predictive Control Techniques
Joint Authors
Rodríguez, José de J.
Martínez-Olvera, César
Rodríguez-Leal, Ernesto
Davizón, Yasser A.
Soto, Rogelio
Hinojosa, Carlos
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-26
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Demand management (DM) is the process that helps companies to sell the right product to the right customer, at the right time, and for the right price.
Therefore the challenge for any company is to determine how much to sell, at what price, and to which market segment while maximizing its profits.
DM also helps managers efficiently allocate undifferentiated units of capacity to the available demand with the goal of maximizing revenue.
This paper introduces control system approach to demand management with dynamic pricing (DP) using the model predictive control (MPC) technique.
In addition, we present a proper dynamical system analogy based on active suspension and a stability analysis is provided via the Lyapunov direct method.
American Psychological Association (APA)
Davizón, Yasser A.& Soto, Rogelio& Rodríguez, José de J.& Rodríguez-Leal, Ernesto& Martínez-Olvera, César& Hinojosa, Carlos. 2014. Demand Management Based on Model Predictive Control Techniques. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-491745
Modern Language Association (MLA)
Davizón, Yasser A.…[et al.]. Demand Management Based on Model Predictive Control Techniques. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-491745
American Medical Association (AMA)
Davizón, Yasser A.& Soto, Rogelio& Rodríguez, José de J.& Rodríguez-Leal, Ernesto& Martínez-Olvera, César& Hinojosa, Carlos. Demand Management Based on Model Predictive Control Techniques. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-491745
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-491745