Practical Methods For Optimal Control Using Nonlinear Programming
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Practical Methods for Optimal Control and Estimation Using Nonlinear Programming
The book describes how sparse optimization methods can be combined with discretization techniques for differential-algebraic equations and used to solve optimal control and estimation problems. The interaction between optimization and integration is emphasized throughout the book.
Practical Methods for Optimal Control and Estimation Using Nonlinear Programming
A focused presentation of how sparse optimization methods can be used to solve optimal control and estimation problems.
Practical Methods for Optimal Control Using Nonlinear Programming
"The third edition focuses on the direct transcription method for optimal control and includes new material on implicit Runge-Kutta discretization techniques, new chapters on partial differential equations and delay equations, and over seventy test problems and open source FORTRAN code for all of the problems"--