| Autor: |
Joe J. Khalife, Mohammad Al Abbas, Samer S. Saab |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Operations Research Perspectives, Vol 7, Iss , Pp 100148- (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2214-7160 |
| DOI: |
10.1016/j.orp.2020.100148 |
| Popis: |
The literature associated with system modeling and decision-making falls short in automating policy formation for correlated multiple-policy multiple-objective (MPMO) processes. Enthused by the effectiveness of multivariable control theory, this paper proposes the implementation of a multiple-input multiple-output (MIMO) controller as a guidance tool for designing policies. System dynamics is considered for modeling the dynamic behavior of MPMO systems. The model is then converted to a state-space system where objectives and policies are mapped to time-varying reference trajectories and inputs, respectively. Subsequently, the design of policies driving the system outputs to meet certain objective profiles is converted to a multivariable control problem. This paper also recommends a class of multivariable controllers that is suitable for this domain of applications. Numerical simulations are included to illustrate the effectiveness of the proposed systematic approach. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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