“…For more details on control parametrization methods see [2,13]. For a vertical planar multi-link robot arms system moving under the effect of gravity, its chaotic behaviour associated with a non-workable initial guess will cause numerical integration failures.…”
Section: Discussionmentioning
confidence: 99%
“…To summarize the above, we introduce the idea of a "selective rule" M(x(0), u°,i) for a fixed set of state differential equations and a fixed cost functional, where i e [1,2,3,4]. When i = 1, M gives the information about workability of M°, i.e.…”
Section: Problem Formulationmentioning
confidence: 99%
“…There are a number of efficient computational techniques available nowadays to tackle this problem numerically, for example, see [2,[8][9][10][11]13]. Software packages 196 H. W. J. Lee , K. L. Teo and L. S. Jennings [2] are also available now implementing these ideas such as MISER3.1 [3,13] which was developed based on the method of control parametrization and nonlinear constrained optimization techniques.…”
Section: Introductionmentioning
confidence: 99%
“…Software packages 196 H. W. J. Lee , K. L. Teo and L. S. Jennings [2] are also available now implementing these ideas such as MISER3.1 [3,13] which was developed based on the method of control parametrization and nonlinear constrained optimization techniques. In optimal control software packages, such as MISER3.1, an initial control is required to start the corresponding algorithm.…”
How to obtain a workable initial guess to start an optimal control (control parametrization) algorithm is an important question. In particular, for a system of multi-link vertical planar robot arms moving under the effect of gravity and applied torques (which can exhibit chaotic behaviour), a non-workable initial guess of torques may cause integration failure regardless of what numerical packages are used. In this paper, we address this problem by introducing a simple and intuitive "Blind Man" algorithm. Theoretical justification as well as a numerical example is provided.
“…For more details on control parametrization methods see [2,13]. For a vertical planar multi-link robot arms system moving under the effect of gravity, its chaotic behaviour associated with a non-workable initial guess will cause numerical integration failures.…”
Section: Discussionmentioning
confidence: 99%
“…To summarize the above, we introduce the idea of a "selective rule" M(x(0), u°,i) for a fixed set of state differential equations and a fixed cost functional, where i e [1,2,3,4]. When i = 1, M gives the information about workability of M°, i.e.…”
Section: Problem Formulationmentioning
confidence: 99%
“…There are a number of efficient computational techniques available nowadays to tackle this problem numerically, for example, see [2,[8][9][10][11]13]. Software packages 196 H. W. J. Lee , K. L. Teo and L. S. Jennings [2] are also available now implementing these ideas such as MISER3.1 [3,13] which was developed based on the method of control parametrization and nonlinear constrained optimization techniques.…”
Section: Introductionmentioning
confidence: 99%
“…Software packages 196 H. W. J. Lee , K. L. Teo and L. S. Jennings [2] are also available now implementing these ideas such as MISER3.1 [3,13] which was developed based on the method of control parametrization and nonlinear constrained optimization techniques. In optimal control software packages, such as MISER3.1, an initial control is required to start the corresponding algorithm.…”
How to obtain a workable initial guess to start an optimal control (control parametrization) algorithm is an important question. In particular, for a system of multi-link vertical planar robot arms moving under the effect of gravity and applied torques (which can exhibit chaotic behaviour), a non-workable initial guess of torques may cause integration failure regardless of what numerical packages are used. In this paper, we address this problem by introducing a simple and intuitive "Blind Man" algorithm. Theoretical justification as well as a numerical example is provided.
“…A subset 5 of X is said to be an arcwise connected set if for all x\, terms of use, available at https://www.cambridge.org/core/terms. https://doi.org/10.1017/S1446788700003736 [7] Optimality criteria in set-valued optimization 227…”
The main aim of this paper is to obtain optimality conditions for a constrained set-valued optimization problem. The concept of Clarke epiderivative is introduced and is used to derive necessary optimality conditions. In order to establish sufficient optimality criteria we introduce a new class of set-valued maps which extends the class of convex set-valued maps and is different from the class of invex set-valued maps.2000 Mathematics subject classification: primary 49J53, 90C30.
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