Deterministic Global Optimization in Nonlinear Optimal Control Problems
Journal of Global Optimization
Algorithmic aspects of area-efficient hardware/software partitioning
The Journal of Supercomputing
Numerical solution methods for singular control with multiple state dependent forms
Optimization Methods & Software
Case-oriented alert correlation
WSEAS Transactions on Computers
Choosing grid points in solving singular optimal control problems by iterative dynamic programming
ISC '07 Proceedings of the 10th IASTED International Conference on Intelligent Systems and Control
Use of line search in the Luus-Jaakola optimization procedure
CI '07 Proceedings of the Third IASTED International Conference on Computational Intelligence
A retrospective on adaptive dynamic programming for control
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
International Journal of Applied Mathematics and Computer Science
Modeling and optimization of combined cytostatic and cytotoxic cancer chemotherapy
Artificial Intelligence in Medicine
Inexact Restoration for Runge-Kutta Discretization of Optimal Control Problems
SIAM Journal on Numerical Analysis
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From the Publisher:Dynamic programming is a powerful method for solving optimizationproblems, but has a number of drawbacks that limit its use to solving problems of very low dimension. To overcome these limitations, author Rein Luus suggested using it in an iterative fashion. Although this method required vast computer resources, modifications to his original scheme have made the computational procedure feasible. With iteration, dynamic programming becomes an effective optimization procedure for very high-dimensional optimal control problems and has demonstrated applicability to singular control problems. Recently, iterative dynamic programming (IDP) has been refined to handle inequality state constraints and noncontinuous functions. Iterative Dynamic Programming offers the first comprehensive presentation of this powerful tool. It brings together the results of work carried out by the author and others - previously available only in scattered journal articles - along with the insight that led to its development. The author provides the necessary background, examines the effects of the parameters involved, and clearly illustrates IDP's advantages.