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

Civil Engineering

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