Wavelets approach for optimal boundary control of cellular uptake in tissue engineering†

The control of the uptake of growth factors in tissue engineering is mathematically modelled by a partial differential equation subject to boundary and initial conditions. The main objective is to regulate cellular processes for the growth or regeneration of a tissue within an assigned terminal time. The techniques of basis function expansion and direct state parameterization were employed to yield efficient computational methods for this problem. Using Legendre and Chebyshev wavelets, the optimal control of the lumped-parameter system was transformed into a system of algebraic equations. The computational efficiency and effectiveness of the proposed method are illustrated by numerical examples.

[1]  Leonidas G. Bleris,et al.  Reduced order distributed boundary control of thermal transients in microsystems , 2005, IEEE Transactions on Control Systems Technology.

[2]  Richard D. Braatz,et al.  Optimal spatial field control of distributed parameter systems , 2009, 2009 American Control Conference.

[3]  Anil V. Rao,et al.  Practical Methods for Optimal Control Using Nonlinear Programming , 1987 .

[4]  J. Betts Survey of Numerical Methods for Trajectory Optimization , 1998 .

[5]  Lorenz T. Biegler,et al.  Optimization Strategies for Dynamic Systems , 2009, Encyclopedia of Optimization.

[6]  M. Kishida,et al.  Optimal control of cellular uptake in tissue engineering , 2008, 2008 American Control Conference.

[7]  Taher Abualrub,et al.  A computational method for solving optimal control of a system of parallel beams using Legendre wavelets , 2007, Math. Comput. Model..

[8]  Kok Lay Teo,et al.  Control parametrization: A unified approach to optimal control problems with general constraints , 1988, Autom..

[9]  Sarp Adali,et al.  Optimal boundary control of dynamics responses of piezo actuating micro-beams , 2009 .

[10]  Mohsen Razzaghi,et al.  Legendre wavelets method for the solution of nonlinear problems in the calculus of variations , 2001 .

[11]  J. Lang Adaptive computation for boundary control of radiative heat transfer in glass , 2005 .

[12]  Weijiu Liu,et al.  Boundary Feedback Stabilization of an Unstable Heat Equation , 2003, SIAM J. Control. Optim..

[13]  Jean-Pierre Raymond,et al.  ESTIMATES FOR THE NUMERICAL APPROXIMATION OF DIRICHLET BOUNDARY CONTROL FOR SEMILINEAR ELLIPTIC EQUATIONS , 2006 .

[14]  M Kishida,et al.  State-constrained optimal spatial field control for controlled release in tissue engineering , 2010, Proceedings of the 2010 American Control Conference.

[15]  He Hua Numerical solution of optimal control problems , 2000 .

[16]  Ibrahim S. Sadek,et al.  Optimal boundary control of heat conduction problems on an infinite time domain by control parameterization , 2011, J. Frankl. Inst..

[17]  Esmail Babolian,et al.  Numerical solution of differential equations by using Chebyshev wavelet operational matrix of integration , 2007, Appl. Math. Comput..

[18]  Qi Gong,et al.  A pseudospectral method for the optimal control of constrained feedback linearizable systems , 2006, IEEE Transactions on Automatic Control.

[19]  R. V. Dooren,et al.  A Chebyshev technique for solving nonlinear optimal control problems , 1988 .

[20]  Leonard Meirovitch,et al.  A new approach to the modeling of distributed structures for control , 2001, J. Frankl. Inst..