Multi-Objective LQG Design with Primal-Dual Method
نویسندگان
چکیده
The objective of this paper is to investigate a multi-objective linear quadratic Gaussian (LQG) control problem. Specifically, we examine an optimal problem that minimizes cost over finite time horizon for stochastic systems subject energy constraints. To tackle problem, propose efficient bisection line search algorithm outperforms other approaches such as semidefinite programming in terms computational efficiency. primary idea behind our use the Lagrangian function and Karush–Kuhn–Tucker (KKT) optimality conditions address constrained optimization employed Lagrange multiplier. Furthermore, provide numerical examples illustrate efficacy proposed methods.
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ژورنال
عنوان ژورنال: Mathematics
سال: 2023
ISSN: ['2227-7390']
DOI: https://doi.org/10.3390/math11081857