A characteristic function framework for chance constraint programming in stochastic model predictive control
Fuente:
arXiv
Saved in:
| Main Authors: | Ying, Yuwei, Löfberg, Johan, Hansson, Anders |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stochastic Model Predictive Control with Online Risk Allocation and Feedback Gain Selection
by: Barbosa, Filipe Marques, et al.
Published: (2026)
by: Barbosa, Filipe Marques, et al.
Published: (2026)
Performance Bounds for Rollout Policies in Stochastic Shortest Path Problems
by: Hansson, Anders, et al.
Published: (2026)
by: Hansson, Anders, et al.
Published: (2026)
Measured-state conditioned recursive feasibility for stochastic model predictive control
by: Fiacchini, Mirko, et al.
Published: (2024)
by: Fiacchini, Mirko, et al.
Published: (2024)
Analysis and design of model predictive control frameworks for dynamic operation -- An overview
by: Köhler, Johannes, et al.
Published: (2023)
by: Köhler, Johannes, et al.
Published: (2023)
ESDIRK-based nonlinear model predictive control for stochastic differential-algebraic equations
by: Christensen, Anders Hilmar Damm, et al.
Published: (2024)
by: Christensen, Anders Hilmar Damm, et al.
Published: (2024)
A model predictive control framework with robust stability guarantees under unbounded disturbances
by: Köhler, Johannes, et al.
Published: (2022)
by: Köhler, Johannes, et al.
Published: (2022)
Output-feedback model predictive control under dynamic uncertainties using integral quadratic constraints
by: Schwenkel, Lukas, et al.
Published: (2025)
by: Schwenkel, Lukas, et al.
Published: (2025)
On discount functions for economic model predictive control without terminal conditions
by: Schwenkel, Lukas, et al.
Published: (2024)
by: Schwenkel, Lukas, et al.
Published: (2024)
Direct System Identification of Dynamical Networks with Partial Measurements: a Maximum Likelihood Approach
by: da Mata, João Victor Galvão, et al.
Published: (2023)
by: da Mata, João Victor Galvão, et al.
Published: (2023)
Feasibility of multiple robust control barrier functions for bounding box constraints
by: Spiller, Mark, et al.
Published: (2025)
by: Spiller, Mark, et al.
Published: (2025)
A two-stage stochastic programming model for electric substation flood mitigation prior to an imminent hurricane
by: Austgen, Brent, et al.
Published: (2023)
by: Austgen, Brent, et al.
Published: (2023)
Towards a unifying framework for data-driven predictive control with quadratic regularization
by: Klädtke, Manuel, et al.
Published: (2024)
by: Klädtke, Manuel, et al.
Published: (2024)
A model-based framework for controlling activated sludge plants
by: Neto, Otacilio B. L., et al.
Published: (2024)
by: Neto, Otacilio B. L., et al.
Published: (2024)
EM++: A parameter learning framework for stochastic switching systems
by: Wang, Renzi, et al.
Published: (2024)
by: Wang, Renzi, et al.
Published: (2024)
Approximate predictive control barrier function for discrete-time systems
by: Didier, Alexandre, et al.
Published: (2024)
by: Didier, Alexandre, et al.
Published: (2024)
A variational and symplectic framework for model-free control: preliminary results
by: Michel, Loïc
Published: (2010)
by: Michel, Loïc
Published: (2010)
Compositional design for time-varying and nonlinear coordination
by: Hansson, Jonas, et al.
Published: (2025)
by: Hansson, Jonas, et al.
Published: (2025)
Closed-loop design for scalable performance of vehicular formations
by: Hansson, Jonas, et al.
Published: (2024)
by: Hansson, Jonas, et al.
Published: (2024)
Performance bounds for multi-vehicle networks with local integrators
by: Hansson, Jonas, et al.
Published: (2024)
by: Hansson, Jonas, et al.
Published: (2024)
A multiobjective approach to robust predictive control barrier functions for discrete-time systems
by: Didier, Alexandre, et al.
Published: (2025)
by: Didier, Alexandre, et al.
Published: (2025)
Differential dynamic programming with stagewise equality and inequality constraints using interior point method
by: Prabhu, Siddharth, et al.
Published: (2024)
by: Prabhu, Siddharth, et al.
Published: (2024)
Convergence guarantees for adaptive model predictive control with kinky inference
by: Zuliani, Riccardo, et al.
Published: (2023)
by: Zuliani, Riccardo, et al.
Published: (2023)
A novel trajectory optimization algorithm for continuous-time model predictive control
by: Das, Souvik, et al.
Published: (2023)
by: Das, Souvik, et al.
Published: (2023)
A feedback control approach to convex optimization with inequality constraints
by: Cerone, V., et al.
Published: (2024)
by: Cerone, V., et al.
Published: (2024)
Learning the cost-to-go for mixed-integer nonlinear model predictive control
by: Orrico, Christopher A., et al.
Published: (2024)
by: Orrico, Christopher A., et al.
Published: (2024)
Error bounds for maxout neural network approximations of model predictive control
by: Teichrib, Dieter, et al.
Published: (2023)
by: Teichrib, Dieter, et al.
Published: (2023)
An overview of systems-theoretic guarantees in data-driven model predictive control
by: Berberich, Julian, et al.
Published: (2024)
by: Berberich, Julian, et al.
Published: (2024)
Ellipsoidal partitions for improved multi-stage robust model predictive control
by: Heinlein, Moritz, et al.
Published: (2025)
by: Heinlein, Moritz, et al.
Published: (2025)
A state reduction approach for learning-based model predictive control for train rescheduling
by: da Silva, Caio Fabio Oliveira, et al.
Published: (2025)
by: da Silva, Caio Fabio Oliveira, et al.
Published: (2025)
Adaptive Benders decomposition and enhanced SDDP for multistage stochastic programs with block-separable multistage recourse
by: Mazzi, Nicolò, et al.
Published: (2025)
by: Mazzi, Nicolò, et al.
Published: (2025)
Optimal participation of energy communities in electricity markets under uncertainty. A multi-stage stochastic programming approach
by: Vilalta, Albert Solà, et al.
Published: (2025)
by: Vilalta, Albert Solà, et al.
Published: (2025)
Region-free explicit model predictive control for linear systems on Hilbert spaces
by: Kurula, Mikael, et al.
Published: (2022)
by: Kurula, Mikael, et al.
Published: (2022)
Learning a convex cost-to-go for single step model predictive control
by: Turan, E. M., et al.
Published: (2023)
by: Turan, E. M., et al.
Published: (2023)
Robust stability analysis of a simple data-driven model predictive control approach
by: Bongard, Joscha, et al.
Published: (2021)
by: Bongard, Joscha, et al.
Published: (2021)
Explicit feedback synthesis for nonlinear robust model predictive control driven by quasi-interpolation
by: Ganguly, Siddhartha, et al.
Published: (2023)
by: Ganguly, Siddhartha, et al.
Published: (2023)
Discrete time optimal control with frequency constraints for non-smooth systems
by: Kotpalliwar, Shruti, et al.
Published: (2019)
by: Kotpalliwar, Shruti, et al.
Published: (2019)
Robust reduced-order model predictive control using peak-to-peak analysis of filtered signals
by: Köhler, Johannes, et al.
Published: (2025)
by: Köhler, Johannes, et al.
Published: (2025)
Multi-objective robust controller synthesis with integral quadratic constraints in discrete-time
by: Schwenkel, Lukas, et al.
Published: (2025)
by: Schwenkel, Lukas, et al.
Published: (2025)
Semi-definite programs for online control of nonlinear systems with stability guarantees
by: Dai, Xiaoyan
Published: (2026)
by: Dai, Xiaoyan
Published: (2026)
Linear quadratic control for discrete-time systems with stochastic and bounded noises
by: Ma, Xuehui, et al.
Published: (2025)
by: Ma, Xuehui, et al.
Published: (2025)
Similar Items
-
Stochastic Model Predictive Control with Online Risk Allocation and Feedback Gain Selection
by: Barbosa, Filipe Marques, et al.
Published: (2026) -
Performance Bounds for Rollout Policies in Stochastic Shortest Path Problems
by: Hansson, Anders, et al.
Published: (2026) -
Measured-state conditioned recursive feasibility for stochastic model predictive control
by: Fiacchini, Mirko, et al.
Published: (2024) -
Analysis and design of model predictive control frameworks for dynamic operation -- An overview
by: Köhler, Johannes, et al.
Published: (2023) -
ESDIRK-based nonlinear model predictive control for stochastic differential-algebraic equations
by: Christensen, Anders Hilmar Damm, et al.
Published: (2024)