2008
DOI: 10.3182/20080706-5-kr-1001.00600
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Computationally Efficient Suboptimal Mid Course Guidance Using Model Predictive Static Programming (MPSP)

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Cited by 9 publications
(10 citation statements)
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“…in a sequential manner arranging the terms, we get (11) Since the initial condition is specified, there is no error in the first term which means 0 1  dX with this (11) reduces to…”
Section: B Guidance Design Using Mpsp and Dynamic Inversionmentioning
confidence: 99%
See 1 more Smart Citation
“…in a sequential manner arranging the terms, we get (11) Since the initial condition is specified, there is no error in the first term which means 0 1  dX with this (11) reduces to…”
Section: B Guidance Design Using Mpsp and Dynamic Inversionmentioning
confidence: 99%
“…To achieve the goal of intercepting, uncertainties should be considered in the guidance design. In this paper, we investigate a recently developed nonlinear optimal control design technique, named as Model Predictive Static Programming (MPSP) [11], in conjunction with the "dynamic inversion approach" [7] to develop an online robust explicit guidance scheme which is insensitive to energy uncertainties in the solid motors performance.…”
Section: Introductionmentioning
confidence: 99%
“…Another important thing is that presently discretetime MPSP is developed for unconstrained problem. [10][11][12] So there is a need to develop MPSP algorithm for constrained problem. In this paper, we have developed a generic theory for flexible final time MPSP with input inequality constraints.…”
Section: Introductionmentioning
confidence: 99%
“…Note that the MPSP technique brings in the philosophy of trajectory optimization into the framework of guidance design, which in turn results in very effective missile guidance. For more details about the technique, one can refer to some of the available literature (Padhi (2009)-Dwivedi (2008).…”
Section: Introductionmentioning
confidence: 99%
“…Successful applicability of the MPSP technique includes mid-course guidance with alignment angle constraints (Dwivedi (2008)) for reentry targets. Because of their high velocities such targets offer very small time window.…”
Section: Introductionmentioning
confidence: 99%