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Formation of policies guided by multivariable control theory

Author

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  • Khalife, Joe J.
  • Abbas, Mohammad Al
  • Saab, Samer S.

Abstract

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.

Suggested Citation

  • Khalife, Joe J. & Abbas, Mohammad Al & Saab, Samer S., 2020. "Formation of policies guided by multivariable control theory," Operations Research Perspectives, Elsevier, vol. 7(C).
    • Handle: RePEc:eee:oprepe:v:7:y:2020:i:c:s2214716020300385
    DOI: 10.1016/j.orp.2020.100148
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