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Optimal control problems with delays in state and control variables subject to mixed control–state constraints

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TLDR
In this article, a nonlinear programming formulation of the optimal control problem with delays in state and control variables is presented. But the Lagrange multipliers associated with the programming problem provide a consistent discretization of the advanced adjoint equation for the delayed control problem.
Abstract
Optimal control problems with delays in state and control variables are studied. Constraints are imposed as mixed control–state inequality constraints. Necessary optimality conditions in the form of Pontryagin's minimum principle are established. The proof proceeds by augmenting the delayed control problem to a nondelayed problem with mixed terminal boundary conditions to which Pontryagin's minimum principle is applicable. Discretization methods are discussed by which the delayed optimal control problem is transformed into a large-scale nonlinear programming problem. It is shown that the Lagrange multipliers associated with the programming problem provide a consistent discretization of the advanced adjoint equation for the delayed control problem. An analytical example and numerical examples from chemical engineering and economics illustrate the results. Copyright © 2008 John Wiley & Sons, Ltd.

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Journal ArticleDOI

Pricing, Spectrum Sharing, and Service Selection in Two-Tier Small Cell Networks: A Hierarchical Dynamic Game Approach

TL;DR: An incentive mechanism in which the macrocell service provider (MSP) could pay to the SSPs to motivate the small cell service providers (SSPs) to open portion of the access opportunities to macro users is designed.
Journal ArticleDOI

Theory and applications of optimal control problems with multiple time-delays

TL;DR: In this article, a discretization method is presented by which the delayed control problem is transformed into a nonlinear programming problem, and the associated Lagrange multipliers provide a consistent numerical approximation for the adjoint variables of the delayed optimal control problem.

Joint Mode Selection and Spectrum Partitioning for Device-to-Device Communication: A Dynamic

Kun Zhu, +1 more
TL;DR: Numerical analysis is performed to evaluate the effectiveness of the proposed framework, which shows that although the mode selection is performed in a distributed and user-controlled manner, the dynamic spectrum partitioning can be viewed as an effective incentive mechanism to drive the user distribution close to the optimal one.
Journal ArticleDOI

Optimal Control of a Delayed HIV Infection Model with ImmuneResponse Using an Efficient Numerical Method

TL;DR: A delay-differential equation model with optimal control that describes the interactions between human immunodeficiency virus (HIV), CD4 and CD4 is presented.
Journal ArticleDOI

Joint Mode Selection and Spectrum Partitioning for Device-to-Device Communication: A Dynamic Stackelberg Game

TL;DR: In this paper, a dynamic Stackelberg game framework is proposed to jointly address the problems of spectrum partitioning and user-controlled mode selection, where the BS and the potential D2D UEs act as the leader and the followers, respectively.
References
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Journal ArticleDOI

On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming

TL;DR: A comprehensive description of the primal-dual interior-point algorithm with a filter line-search method for nonlinear programming is provided, including the feasibility restoration phase for the filter method, second-order corrections, and inertia correction of the KKT matrix.
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Stability and Complexity in Model Ecosystems

TL;DR: Preface vii Preface to the Second Edition Biology Edition 1.
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AMPL: A Modeling Language for Mathematical Programming

TL;DR: An efficient translator is implemented that takes as input a linear AMPL model and associated data, and produces output suitable for standard linear programming optimizers.
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