title: Experimental Design for Vector Output Systems.
abstract: 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.
authors.affiliation: Center for Research in Scientific Computation Center for Quantitative Sciences in Biomedicine N.C. State University Raleigh, NC.
authors.forename: H T
authors.initials: HT
authors.lastname: Banks
authors.affiliation: Center for Research in Scientific Computation Center for Quantitative Sciences in Biomedicine N.C. State University Raleigh, NC.
authors.forename: K L
authors.initials: KL
authors.lastname: Rehm
keywords: HIV models; Optimal design; inverse problems; optimal selection of observables and sampling times; plant metabolism and growth