Production and process management: An optimal control approach

Authors

  • Haider Ali Biswas School Khulna University, Mathematics Discipline, Science Engineering and Technology, Khulna, Bangladesh
  • Ahad Ali Lawrence Technological University, A. Leon Linton Department of Mechanical Engineering, Southfield, USA

DOI:

https://doi.org/10.2298/YJOR141015008K

Keywords:

optimal control, state constraint, production and process, industrial engineering, numerical application

Abstract

Optimal control and efficient management of industrial products are the key for sustainable development in industrial and process engineering. It is well-known that proper maintenance of process performance, ensuring the quality products after a long time operation of the system, is desirable in any industry. Nonlinear dynamical systems may play crucial role to appropriately design the model and obtain optimal control strategy in production and process management. This paper deals with a mathematical model in terms of ordinary differential equations (ODEs) that describe control of production and process arising in industrial engineering. The optimal control technique in the form of maximum principle, used to control the quality products in the operation processes, is applied to analyze the model. It is shown that the introduction of state constraint can be advantageous for obtaining good products during the longer operation process. We investigate the model numerically, using some known nonlinear optimal control solvers, and we present the simulation results to illustrate the significance of introducing state constraint onto the dynamics of the model.

References

Biswas, M. H. A., ―On the evolution of AIDS/HIV treatment: An optimal control approach‖, Current HIV Research, 12 (1) (2014) 1-12.

Biswas, M. H. A., ―On the immunotherapy of HIV infections via optimal control with constraint‖, Proceedings of the 18th International Mathematics Conference 2013, 2014, 51-54.

Biswas, M. H. A., ―Optimal control of Nipah Virus (NiV) infections: A Bangladesh scenario‖, Journal of Pure and Applied Mathematics: Advances and Applications, 12 (1) (2014) 77-104.

Biswas, M. H. A., ―Necessary conditions for optimal control problems with state constraints: theory and applications‖, PhD Thesis, Department of Electrical and Computer Engineering, Faculty of Engineering, University of Porto, Portugal, 2013.

Biswas, M. H. A., ―Model and control strategy of the deadly Nipah Virus (NiV) infections in Bangladesh‖, Research & Reviews in Bio Sciences, 6 (12) (2012) 370-377.

Biswas, M. H. A., ―Optimal chemotherapeutic strategy for HIV infections– State constrained case‖, Proceedings of the 1st PhD Students’ Conference in Electrical and Computer Engineering organized by the Department of Electrical and Computer Engineering, Faculty of Engineering, University of Porto, Portugal, (2012).

Biswas, M. H. A., ―AIDS epidemic worldwide and the millennium development strategies: A light for lives‖, HIV & AIDS Review, 11(4) (2012) 87-94.

Biswas, M. H. A., ―Necessary conditions for optimal control problems with and without state constraints: A comparative study‖, WSEAS Transactions on Systems and Control, 6 (6) (2011) 217-228.

Biswas, M. H. A., and de Pinho, M. d. R.,―A nonsmooth maximum principle for optimal control problems with state and mixed constraints‖, ESAIM: Control, Optimization and Calculus of Variations, 21 (4) (2015) 939-957.

Biswas, M. H. A., Paiva, L. T., and de Pinho, M. d. R., ―A SEIR model for control of infectious diseases with constraints‖, Mathematical Biosciences and Engineering, 11 (4) (2014) 761-784.

Biswas, M. H. A., Huda, M. A., Ara, M. and Rahman, M. A., ―Optimal control theory and its applications in aerospace engineering‖, International Journal of Academic Research, Part II, 3(2) (2011) 349-357.

Biswas, M. H. A., Ara, M., Haque, M. N., and Rahman, M. A., ―Application of control theory in the efficient and sustainable forest management‖, International Journal of Scientific and Engineering Research, 2 (3) (2011) 26-33.

Biswas, M. H. A., Rahman, M. T., and Haque, M. N., ―Modeling the potential impacts of global climate change in Bangladesh: An optimal control approach‖, Journal of Fundamental and Applied Sciences, 8 (1) (2016) 1-19.

Biswas, M. H. A., and de Pinho, M.d. R., ―Variant of nonsmooth maximum principle for state constrained problems‖, Proceedings of the 51st IEEE Conference on Decision and Control, (2012) 7685-7690.

Biswas, M. H. A., and de Pinho, M.d. R., ―A nonsmooth maximum principle for optimal control problems with state and mixed constraints-convex case‖, Discrete and Continuous Dynamical Systems, 2011 (2011) 174–183.

Burden, T., Ernstberger, J., and Fister, K. R., ―Optimal control applied to immunotherapy‖, Discrete and Continuous Dynamical Systems-Series B, 4 (1) (2004) 135-146.

Clarke, F. H., Optimization and nonsmooth analysis, John Wiley & Sons, New York, 1983.

Falugi, P., Kerrigan, E., and Wyk, E. Van., Imperial College London Optimal Control Software User Guide (ICLOCS), Department of Electrical and Electronic Engineering, Imperial College London, London, England, UK, 2010.

Fister, K. R., Lenhart, S., and McNally, J. S., ―Optimizing chemotherapy in an HIV model‖, Electronic Journal of Differential Equations, 1998 (32) (1998) 1-12.

Galbraith, G. N., and Vinter, R. B., ―Lipschitz continuity of optimal controls for state constrained problems‖, SIAM J. Control Opt., 42 (2003) 1727-1744.

Kirschner, D., Lenhart, S., and Serbin, S., ―Optimal control of the chemotherapy of HIV‖, J. Math. Biol, 35 (1997) 775-792.

Maurer, H., Kim, Jang-Ho R., and Vossen, G., ―On a state-constrained control problem in optimal production and maintenance‖, in: C. Deissenberg and R.F. Hartl (eds.), Optimal Control and Dynamic Games, 17 (2005) 289-308.

Naidu, D. S., Fernando, T., and Fister, K. R., ―Optimal control in diabetes‖, Optimal Control Appl. Meth., 32 (2011) 181-184.

Osmolovskii, N. P., and Maurer, H., ―Applications to regular and bang-bang control: second order necessary and sufficient optimality conditions in calculus of variations and optimal control‖, SIAM, 2012.

Pontryagin, L. S., Boltyanskii, V. G., Gamkrelidze, R. V., and Mischenko, E. F., The Mathematical Theory of Optimal Processes, John Wiley, New York, 1962.

Schättler, H., and Ledzewicz, U., Geometric Optimal Control: Theory, Methods and Examples, Springer, 2012.

Shvartsman, Ilya A., and Vinter, R. B., ―Regularity properties of optimal controls for problems with time-varying state and control constraints‖, Nonlinear Analysis, Theory, Meth. and Applic., 65 (2006) 448-474.

Sussmann, H. J., and Willems, J. C., ―300 years of optimal control: from the brachystochrone to the maximum principle‖, Control Systems Magazine, IEEE, 17(3) (1997) 32-44.

Vinter, R. B.,―Optimal control‖, Birkhauser, Boston, 2000.

Wachter, A., and Biegler, L. T., ―On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming‖, Mathematical Programming, 106 (2006) 25-57.

Downloads

Published

2016-08-01

Issue

Section

Research Articles