Bibliography
[Boyd2004] - Boyd, Stephen and Vandenberghe, Lieven - Convex Optimization. - 2004. -
Summary/Abstract
N/A
[Bierlaire2018] - Michel Bierlaire - Optimization: Principles and Algorithms. - 2018. -
Summary/Abstract
N/A
[Underactuated2023] - Tedrake, Russ - Underactuated Robotics. - 2023. -
Summary/Abstract
N/A
[Brunton2022-HJB] - Brunton, Steven L. - Nonlinear Control: Hamilton Jacobi Bellman (HJB) and Dynamic Programming. - 2022. -
Summary/Abstract
This video discusses optimal nonlinear control using the
Hamilton Jacobi Bellman (HJB) equation, and how to solve this
using dynamic programming.
[Bellman1966] - Richard Bellman - Dynamic Programming. - 1966. -
Summary/Abstract
Little has been done in the study of these intriguing questions,
and I do not wish to give the impression that any extensive set
of ideas exists that could be called a theory. What is quite
surprising, as far as the histories of science and philosophy are
concerned, is that the major impetus for the fantastic growth of
interest in brain processes, both psychological and physiological
, has come from a device, a machine, the digital computer. In
dealing with a human being and a human society, we enjoy the
luxury of being irrational, illogical, inconsistent, and
incomplete, and yet of coping. In operating a computer, we must
meet the rigorous requirements for detailed instructions and
absolute precision. If we understood the ability of the human
mind to make effective decisions when confronted by complexity,
uncertainty, and irrationality, then we could use computers a
million times more effectively than we do. Recognition of this
fact has been a motivation for the spurt of research in the field
of neurophysiology. The more we study the information-processing
aspects of the mind, the more perplexed and impressed we become.
It will be a very long time before we understand these processes
sufficiently to reproduce them. In any case, the mathematician
sees hundreds and thousands of formidable new problems in dozens
of blossoming areas, puzzles galore, and challenges to his
heart's content. He may never resolve some of these, but he will
never be bored. What more can he ask?
[Mayne1966] - David Q. Mayne - A Second-order Gradient Method for Determining Optimal Trajectories of Non-linear Discrete-time Systems. - 1966. -
Summary/Abstract
N/A