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On safe tractable approximations of chance constraints

European Journal of Operational Research, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.

exaly   +3 more sources

Modeling uncertainties with chance constraints

Constraints, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Imen Zghidi   +2 more
semanticscholar   +3 more sources

Efficient Safety-Enhanced Velocity Planning for Autonomous Driving With Chance Constraints

IEEE Robotics and Automation Letters, 2023
Velocity planning is an important module of autonomous driving, which aims to generate the velocity profile given a reference path. However, most existing algorithms fail to adequately address the uncertainty inherent in driving contexts, leading to ...
Jiawei Fu   +5 more
semanticscholar   +1 more source

Computationally Efficient Data-Driven Joint Chance Constraints for Power Systems Scheduling

IEEE Transactions on Power Systems, 2023
Although data-driven nonparametric Joint Chance Constraints (JCCs) may lead to more reliable decision-making than individual chance constraints, their computational complexity is a major bottleneck.
Chutian Wu, A. Kargarian
semanticscholar   +1 more source

Data-Driven Nonparametric Joint Chance Constraints for Economic Dispatch with Renewable Generation

IEEE transactions on industry applications, 2021
This article presents data-driven nonparametric joint chance constraints (JCCs) for ramp-constrained economic dispatch. Power generated by renewable sources, such as solar farms, is modeled as an uncertain parameter that may not belong to any parametric ...
Chutian Wu, A. Kargarian, H. Jeon
semanticscholar   +1 more source

Distributed stochastic model predictive control for systems with stochastic multiplicative uncertainty and chance constraints.

ISA transactions, 2021
The rapid development of technology and economy has led to the development of chemical processes, large-scale manufacturing equipment, and transportation networks, with their increasing complexity.
Hongyuan Wang   +3 more
semanticscholar   +1 more source

A Fast Algorithm for Stochastic Orienteering with Chance Constraints

IEEE/RJS International Conference on Intelligent RObots and Systems, 2021
We consider the Stochastic Orienteering Problem with random traversal time for edges. In this scenario the length of the path is a random variable and we consider a formulation with chance constraints, i.e., a bound on the probability that the length of ...
Thomas C. Thayer, Stefano Carpin
semanticscholar   +1 more source

Distribution-Free Approximations for Chance Constraints

Operations Research, 1974
This paper concerns developing methods for approximating a chance-constrained set when any information concerning the random variables must be derived from actual samples. Such a situation has not been presented in the literature. When existing chance-constrained programming techniques are used, it is not possible to relate the accuracy of sample ...
F. M. Allen, R. N. Braswell, P. V. Rao
openaire   +2 more sources

Autonomous Vehicle Path Tracking: Stochastic Tube Model Predictive Control With Covariance Steering and Discounted Chance Constraints

IEEE Transactions on Vehicular Technology
The path tracking performance of autonomous vehicles degrades due to model uncertainties and external disturbances. Tube-based Model Predictive Control (MPC) has been regarded as an effective approach to address this issue. However, the over-conservative
Haonan Yong   +4 more
semanticscholar   +1 more source

Distributionally robust optimization of an emergency medical service station location and sizing problem with joint chance constraints

Transportation Research Part B: Methodological, 2019
An effective Emergency Medical Service (EMS) system can provide medical relief supplies for common emergencies (fire, accident, etc.) or large-scale disasters (earthquake, tsunami, bioterrorism attack, explosion, etc.) and decrease morbidity and ...
Kanglin Liu, Qiaofeng Li, Zhi-Hai Zhang
semanticscholar   +1 more source

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