Experimental Design for Vector Output Systems.
We formulate an optimal design problem for the selection of best states to observe and optimal sampling times for parameter estimation or inverse problems involving complex nonlinear dynamical systems. An iterative algorithm for implementation of the resulting methodology is proposed. Its use and efficacy is illustrated on two applied problems of practical interest: (i) dynamic models of HIV progression and (ii) modeling of the Calvin cycle in plant metabolism and growth.
['Banks|H T|HT|', 'Rehm|K L|KL|']
Optimal design inverse problems plant metabolism and growth HIV models optimal selection of observables and sampling times