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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Notes
- 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.
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2.
If λ is an eigenvalue of A, then 1∕λ is also an eigenvalue of A.
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1.
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Tewari, A. (2019). Analytical Optimal Control. In: Optimal Space Flight Navigation. Control Engineering. Birkhäuser, Cham. https://doi.org/10.1007/978-3-030-03789-5_2
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