✍ Scribed by L.S. Jennings; M.E. Fisher; K.L. Teo; C.J. Goh
No coin nor oath required. For personal study only.
Dynamic optimization problems occur often in all fields of engineering and management science. The two previous versions of the MISER software for solving constrained optimal control problems, while proving successful on many problems, did have some drawbacks. These are outlined in this paper and the numerical analysis for correcting these problems is also outlined. The approach is one of control parameterization, expressing each control as a linear combination of simple basis functions which makes for effaciencies in the computation.
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## Abstract This paper is concerned with some reformulations of the classical computational scheme for solving optimal control problems via Pontryagin's maximum principle. The purpose is to alleviate some well known difficulties involved in solving a two‐point boundary value problem in terms of adj