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Chance constrained optimization of elliptic PDE systems with a smoothing convex approximation

ESAIM. Control, optimisation and calculus of variations, 2020, Vol.26, p.70

2020

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Investigation of Knee Torque Dynamics in Single‐Leg Transfemoral Prosthetic during Walking Using Mathematical Modeling

Complexity (New York, N.Y.), 2024-01, Vol.2024 (1)

2024

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An Inner-Outer Approximation Approach to Chance Constrained Optimization

SIAM journal on optimization, 2017-01, Vol.27 (3), p.1834-1857

2017

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Novel Ordinary Differential Equation for State-of-Charge Simulation of Rechargeable Lithium-Ion Battery

Applied sciences, 2024-06, Vol.14 (12), p.5284

2024

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Model Predictive Control of Parabolic PDE Systems under Chance Constraints

Mathematics (Basel), 2023-03, Vol.11 (6), p.1372

2023

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Corruption dynamics: a mathematical model and analysis

Frontiers in applied mathematics and statistics, 2024-05, Vol.10

2024

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A conceptual method for solving generalized semi-infinite programming problems via global optimization by exact discontinuous penalization

European journal of operational research, 2004-08, Vol.157 (1), p.3-15

2004

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An Approach to Determining the Number of Time Intervals for Solving Dynamic Optimization Problems

Industrial & engineering chemistry research, 2018-03, Vol.57 (12), p.4340-4350

2018

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An Analytical Hessian and Parallel-Computing Approach for Efficient Dynamic Optimization Based on Control-Variable Correlation Analysis

Industrial & engineering chemistry research, 2015-12, Vol.54 (48), p.12086-12095

2015

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Recent Developments in Computational Approaches to Optimization under Uncertainty and Application in Process Systems Engineering

ChemBioEng reviews, 2014-08, Vol.1 (4), p.170-190

2014

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Advances and applications of chance-constrained approaches to systems optimisation under uncertainty

International journal of systems science, 2013-07, Vol.44 (7), p.1209-1232

2013

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Stochastische Optimierung parabolischer PDE-Systeme unter Wahrscheinlichkeitsrestriktionen am Beispiel der Temperaturregelung eines Stabes

Automatisierungstechnik : AT, 2018-11, Vol.66 (11), p.975-985

2018

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A tractable approximation of non-convex chance constrained optimization with non-Gaussian uncertainties

Engineering optimization, 2015-04, Vol.47 (4), p.495-520

2015

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Chance Constrained Optimization for Energy Management in Electric Vehicles

Trends in Computer Science and Information Technology, 2020-08, p.44-45

2020

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Using Sparse-Grid Methods To Improve Computation Efficiency in Solving Dynamic Nonlinear Chance-Constrained Optimization Problems

Industrial & engineering chemistry research, 2011-05, Vol.50 (9), p.5693-5704

2011

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Chance Constrained Distributed Optimisation for Interconnected Power Systems ⁎⁎This paper is based on the DAAD project 57611107 that has received funding from the Federal Ministry of Education and Research (BMBF), Germany. The responsibility for the content of this publication lies with the authors

IFAC-PapersOnLine, 2024, Vol.58 (13), p.128-133

2024

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Monotony analysis and sparse-grid integration for nonlinear chance constrained process optimization

Engineering optimization, 2011-10, Vol.43 (10), p.1019-1041

2011

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Analytical approximations for the solution of chance constrained optimization problems

Proceedings in applied mathematics and mechanics, 2014-12, Vol.14 (1), p.779-780

2014

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Advances and applications of chance-constrained approaches to systems optimisation under uncertainty : Probability-constrained analysis, filtering and control

International journal of systems science, 2013, Vol.44 (7-9), p.1209-1232

2013

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A Computation Approach to Chance Constrained Optimization of Boundary-Value Parabolic Partial Differential Equation Systems

IFAC-PapersOnLine, 2020, Vol.53 (2), p.2435-2440

2020

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A soft-constrained optimization approach for model predictive control of multi-agent systems

IFAC-PapersOnLine, 2015, Vol.48 (25), p.16-21

2015

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Chance Constrained Optimal Power Flow Using the Inner-Outer Approximation Approach

2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2018, p.1-6

2018

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Optimal Scheduling of Vaccination Campaigns Using a Direct Dynamic Optimization Method

IFAC-PapersOnLine, 2016, Vol.49 (26), p.207-212

2016

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Chance constrained optimal power flow with non-Gaussian distributed uncertain wind power generation

2013 12th International Conference on Environment and Electrical Engineering, 2013, p.265-270

2013

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A Moving Horizon Approach to a Chance Constrained Nonlinear Dynamic Optimization Problem

IFAC Proceedings Volumes, 2009, Vol.42 (2), p.103-107

2009

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Chance constrained optimization of elliptic PDE systems with a smoothing convex approximation

Investigation of Knee Torque Dynamics in Single‐Leg Transfemoral Prosthetic during Walking Using Mathematical Modeling

An Inner-Outer Approximation Approach to Chance Constrained Optimization

Novel Ordinary Differential Equation for State-of-Charge Simulation of Rechargeable Lithium-Ion Battery

Model Predictive Control of Parabolic PDE Systems under Chance Constraints

Corruption dynamics: a mathematical model and analysis

A conceptual method for solving generalized semi-infinite programming problems via global optimization by exact discontinuous penalization

An Approach to Determining the Number of Time Intervals for Solving Dynamic Optimization Problems

An Analytical Hessian and Parallel-Computing Approach for Efficient Dynamic Optimization Based on Control-Variable Correlation Analysis

Recent Developments in Computational Approaches to Optimization under Uncertainty and Application in Process Systems Engineering

Advances and applications of chance-constrained approaches to systems optimisation under uncertainty

Stochastische Optimierung parabolischer PDE-Systeme unter Wahrscheinlichkeitsrestriktionen am Beispiel der Temperaturregelung eines Stabes

A tractable approximation of non-convex chance constrained optimization with non-Gaussian uncertainties

Chance Constrained Optimization for Energy Management in Electric Vehicles

Using Sparse-Grid Methods To Improve Computation Efficiency in Solving Dynamic Nonlinear Chance-Constrained Optimization Problems

Monotony analysis and sparse-grid integration for nonlinear chance constrained process optimization

Analytical approximations for the solution of chance constrained optimization problems

Advances and applications of chance-constrained approaches to systems optimisation under uncertainty : Probability-constrained analysis, filtering and control

A Computation Approach to Chance Constrained Optimization of Boundary-Value Parabolic Partial Differential Equation Systems

A soft-constrained optimization approach for model predictive control of multi-agent systems

Chance Constrained Optimal Power Flow Using the Inner-Outer Approximation Approach

Optimal Scheduling of Vaccination Campaigns Using a Direct Dynamic Optimization Method

Chance constrained optimal power flow with non-Gaussian distributed uncertain wind power generation

A Moving Horizon Approach to a Chance Constrained Nonlinear Dynamic Optimization Problem

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