Results 21 to 30 of about 1,754 (168)
Generalized semi-infinite programming: numerical aspects [PDF]
Optimization, 2001 Generalized semi-infinite optimization problems (GSIP) are considered. It is investigated how the numerical methods for standard semi-infinite programming (SIP) can be extended to GSIP. Newton methods can be extended immediately. For discretization methods the situation is more complicated. These difficulties are discussed and convergence results for
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Generalized semi-infinite programming: A tutorial
Journal of Computational and Applied Mathematics, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stein, O. +3 more
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Dual Set-Membership State Estimation for Power Distribution Networks Under Event-Triggered Mechanism
Frontiers in Energy Research, 2022 This article is concerned with the set-membership state estimation problem for power distribution networks (PDNs) over a resource-constrained communication network under the influence of unknown but bounded (UBB) noises.
Xingzhen Bai +5 more
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Second-order optimality conditions for interval-valued functions
Journal of Inequalities and Applications, 2023 This work is included in the search of optimality conditions for solutions to the scalar interval optimization problem, both constrained and unconstrained, by means of second-order optimality conditions.
Gabriel Ruiz-Garzón +3 more
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On Nonsmooth Semi-Infinite Minimax Programming Problem with (Φ,ρ)-Invexity
Abstract and Applied Analysis, 2014 We are interested in a nonsmooth minimax programming Problem (SIP). Firstly, we establish the necessary optimality conditions theorems for Problem (SIP) when using the well-known Caratheodory's theorem.
X. L. Liu +3 more
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Semi-infinite programming, differentiability and geometric programming: Part II [PDF]
Applications of Mathematics, 1969 The authors deal with a certain specialization of their theory of duality on the case where the objective function is simple continuously differentiable and convex on the set $K$ of the admissible solutions and the constraint functions defining $K$ are continuously differentiable and concave. Further, a way is shown how to generalize the account to the
Charnes, A. +2 more
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Uncertainty Modeling and Robust Output Feedback Control of Nonlinear Discrete Systems: A Mathematical Programming Approach [PDF]
Modeling, Identification and Control, 2001 We present a mathematical programming approach to robust control of nonlinear systems with uncertain, possibly time-varying, parameters. The uncertain system is given by different local affine parameter dependent models in different parts of the state ...
Olav Slupphaug +2 more
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AxiomsIn this paper, we model uncertainty in both the objective function and the constraints for the robust semi-infinite interval equilibrium problem involving data uncertainty.
Gabriel Ruiz-Garzón +3 more
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A NUMERICAL METHOD FOR SOLVING LINEAR–QUADRATIC CONTROL PROBLEMS WITH CONSTRAINTS
Ural Mathematical Journal, 2016 The paper is devoted to the optimal control problem for a linear system with integrally constrained control function. We study the problem of minimization of a linear terminal cost with terminal constraints given by a set of linear inequalities.
Mikhail I. Gusev, Igor V. Zykov
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A Wasserstein-based distributionally robust neural network for non-intrusive load monitoring
Frontiers in Energy Research, 2023 Non-intrusive load monitoring (NILM) is a technique that uses electrical data analysis to disaggregate the total energy consumption of a building or home into the energy consumption of individual appliances. To address the data uncertainty problem in non-
Qing Zhang +6 more
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