Gradient optimization and nonlinear controlThe book represents an introduction to computation in control by an iterative, gradient, numerical method, where linearity is not assumed. The general language and approach used are those of elementary functional analysis. The particular gradient method that is emphasized and used is conjugate gradient descent, a well known method exhibiting quadratic convergence while requiring very little more computation than simple steepest descent. Constraints are not dealt with directly, but rather the approach is to introduce them as penalty terms in the criterion. General conjugate gradient descent methods are developed and applied to problems in control.
Document ID
19760053242
Acquisition Source
Legacy CDMS
Document Type
Book
Authors
Hasdorff, L. (Houston, University Clear Lake City, Tex., United States)