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LINEARISATION BY OPTIMAL CONTROL
IFAC Proceedings Volumes, 1983Abstract Numerical approximations for the solutions of some nonlinear models are considered. The linearisation is realized by means of a perturbation term introduced in the right hand side of the equation and the solution is obtained via an optimal control problem.
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Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334), 2000
For discrete-time control-affine systems on an infinite interval, an analytical solution of the greedy optimal control problem is presented. The "greedy" formulation of the optimal control problem calls for minimization of the instantaneous cost function, rather than the cumulative one, as in the conventional optimal control.
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For discrete-time control-affine systems on an infinite interval, an analytical solution of the greedy optimal control problem is presented. The "greedy" formulation of the optimal control problem calls for minimization of the instantaneous cost function, rather than the cumulative one, as in the conventional optimal control.
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A survey on evolutionary computation for complex continuous optimization
Artificial Intelligence Review, 2021Zhi-Hui Zhan, Lin Shi, Kay Chen Tan
exaly
1973
Recently, a number of general methods for obtaining necessary conditions for optimality have been derived (see [2],[3],[5]). In [4], the author has given a general method, starting from the following basic problem: BP(S,f): “Given a set S in Rn and a function f: Rn →R1 , determine xeS such that f(x) is maximal”.
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Recently, a number of general methods for obtaining necessary conditions for optimality have been derived (see [2],[3],[5]). In [4], the author has given a general method, starting from the following basic problem: BP(S,f): “Given a set S in Rn and a function f: Rn →R1 , determine xeS such that f(x) is maximal”.
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Evolutionary Large-Scale Multi-Objective Optimization: A Survey
ACM Computing Surveys, 2022Ye Tian, Langchun Si, Xingyi Zhang
exaly
Recent developments in control and optimization of swarm systems: A brief survey
2016 12th IEEE International Conference on Control and Automation (ICCA), 2016Bing Zhu, Lihua Xie, Duo Han
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The Arithmetic Optimization Algorithm
Computer Methods in Applied Mechanics and Engineering, 2021Laith Abualigah +2 more
exaly
Distributed control and optimization in DC microgrids
at - Automatisierungstechnik, 2015Jinxin Zhao, Florian Dörfler
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