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2019 | OriginalPaper | Chapter

2. Analytical Optimal Control

Author : Ashish Tewari

Published in: Optimal Space Flight Navigation

Publisher: Springer International Publishing

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Abstract

Optimization refers to the process of achieving the best possible result (objective), given the circumstances (constraints). When applied to determine a control strategy for fulfilling a desired task, such an optimization is called optimal control .

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Footnotes
1
Since the dynamic equality constraint of Eq. (2.34) must be enforced separately, \(\dot {x}\) is taken to be an independent variable in the minimization of J a.
 
2
A symplectic matrix, A, satisfies A T JA = J, where
$$\displaystyle \begin{aligned} J=\left(\begin{array}{cccc}0 &&& I\\-I &&& 0\end{array}\right) \end{aligned}$$
is analogous to the imaginary number, \(j=\sqrt {-1}\), in complex algebra since J 2 = −I. A symplectic matrix, A, has the following properties:
1.
Its determinant is unity, i.e., det(A) = 1.
 
2.
If λ is an eigenvalue of A, then 1∕λ is also an eigenvalue of A.
 
 
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Metadata
Title
Analytical Optimal Control
Author
Ashish Tewari
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-03789-5_2