1992
DOI: 10.1007/978-3-642-51682-5_20
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Synthesis of Optimal Discrete Control System

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Cited by 5 publications
(8 citation statements)
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“…However, when the problem is difficult, direct discretization methods can be used for finding an approximate solution. In [15], the Cauchy formula for solving systems of linear differential equations is used to transform the linear optimal control problem into an equivalent problem, then discretization is performed to get a linear programming problem which is solved using the adaptive method. Recently in [16], the Cauchy formula is used with discretization to transform the original linear optimal control problem into a linear optimization problem which is solved with the hybrid direction algorithm proposed in [17].…”
Section: Introductionmentioning
confidence: 99%
“…However, when the problem is difficult, direct discretization methods can be used for finding an approximate solution. In [15], the Cauchy formula for solving systems of linear differential equations is used to transform the linear optimal control problem into an equivalent problem, then discretization is performed to get a linear programming problem which is solved using the adaptive method. Recently in [16], the Cauchy formula is used with discretization to transform the original linear optimal control problem into a linear optimization problem which is solved with the hybrid direction algorithm proposed in [17].…”
Section: Introductionmentioning
confidence: 99%
“…It is based on the fast algorithm of solving a linear OC problem with intermediate state constrained (Balashevich et al, 2001). Methodologically, the suggested implementation of optimal closed-loop control develops the approach (Gabasov et al, 1995;Gabasov et al, 2000). According to this approach, before starting the actual control process preliminary work to form the framework of the solution is performed, and then in the course of the control process preliminary results are getting more precise on the basis of the realized states.…”
Section: Introductionmentioning
confidence: 99%
“…Proof. Using Lemma 4.1 this reduces to a slight modification of the results in [3,5], and hence the details are again omitted here. Remark 4.3.…”
Section: Lemma 41 Let F : U ×T → R N Be a Continuous Function Thenmentioning
confidence: 99%
“…This is based on the so-called C-property of measurable functions [9] and, in fact, follows immediately on some routine modifications to that for continuous functions given in [5]. Hence the details are omitted here.…”
Section: Lemma 41 Let F : U ×T → R N Be a Continuous Function Thenmentioning
confidence: 99%
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