What question did this study set out to answer?

The aim is to provide practical methods and strategies for solving optimal control and trajectory optimization problems.

Practical Methods for Optimal Control using Nonlinear Programming

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Book reviews diverse methods for optimal control in engineering, highlighting practical techniques and challenges.

The aim is to provide practical methods and strategies for solving optimal control and trajectory optimization problems.
Detailed discussion of numerical methods and implementation strategies for optimal control.
Review of unconstrained and constrained optimization techniques including SQP.
Exploration of sparse matrix techniques and numerical case studies relevant to aerospace applications.
Techniques cover trajectory optimization for aerospace operations like space shuttle reentry.
Numerical examples illustrate problem-solving and optimization strategies across various applications.
Identifies challenges in optimal control problem-solving such as infeasible constraints and suggests practical remedies.

Betts et al. (2002) studied this question.

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