| Review: |
Solving an optimal control or estimation problem traditionally involves two major parts: the optimization method and the differential equation method. A naïve approach is simply to bolt the two together. This book looks at a better way of combining them. There are chapters on: An introduction to nonlinear programming; Large, sparse, nonlinear programming; Optimal control preliminaries; The optimal control problem; Parameter estimation; Optimal control examples; and Advanced applications. This new edition incorporates a lot of new material and will be of interest to users of optimal control working in such fields as aerospace; chemical process control; mathematical biology; robotics and multibody simulation; and electrical, mechanical and structural engineering. |