2011
DOI: 10.2478/v10170-010-0029-0
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An iterative method for time optimal control of dynamic systems

Abstract: An iterative method for time optimal control of a general type of dynamic systems is proposed, subject to limited control inputs. This method uses the indirect solution of open-loop optimal control problem. The necessary conditions for optimality are derived from Pontryagin's minimum principle and the obtained equations lead to a nonlinear two point boundary value problem (TPBVP). Since there are many difficulties in finding the switching points and in solving the resulted TPBVP, a simple iterative method base… Show more

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Cited by 4 publications
(5 citation statements)
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“…Note that ∆t max might be determined by analyzing the system dynamics a-priori. To ensure that a solution to the optimal control problem exists, assume that there is an N > 0 for which (7) is feasible. In addition, necessary and sufficient optimality conditions for general nonlinear programs apply [22].…”
Section: Feasibility and Optimalitymentioning
confidence: 99%
See 2 more Smart Citations
“…Note that ∆t max might be determined by analyzing the system dynamics a-priori. To ensure that a solution to the optimal control problem exists, assume that there is an N > 0 for which (7) is feasible. In addition, necessary and sufficient optimality conditions for general nonlinear programs apply [22].…”
Section: Feasibility and Optimalitymentioning
confidence: 99%
“…. , N − 1 to (7). Although the optimal solution is identical, the structure of the optimization problem differs slightly.…”
Section: Feasibility and Optimalitymentioning
confidence: 99%
See 1 more Smart Citation
“…A dynamic system with nonlinear state equation consider as (1). Also, the performance index function and its nonlinear term are defined as (2) and (3).…”
Section: Optimal Control and H-j-b Equation (Indirect Part)mentioning
confidence: 99%
“…In ref. [2], an iterative method for time optimal control of a general type of dynamic systems is proposed. The method uses the indirect solution of the open-loop optimal control problem.…”
Section: Introductionmentioning
confidence: 99%