Cover Image

Linear Controller Design for Chance Constrained Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schildbach, Georg, Goulart, Paul, Morari, Manfred
Format:	Preprint
Published:	2014
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Randomized Solutions to Convex Programs with Multiple Chance Constraints
by: Schildbach, Georg, et al.
Published: (2012)

The Scenario Approach for Stochastic Model Predictive Control with Bounds on Closed-Loop Constraint Violations
by: Schildbach, Georg, et al.
Published: (2013)

Deadbeat Robust Model Predictive Control for Linear Parameter-Varying Systems
by: Schildbach, Georg, et al.
Published: (2025)

Robust MPC for Large-scale Linear Systems
by: Schildbach, Georg
Published: (2025)

Contingency Model-based Control (CMC) for Communicationless Cooperative Collision Avoidance in Robot Swarms
by: Schildbach, Georg
Published: (2025)

Hierarchical Reinforcement Learning with Low-Level MPC for Multi-Agent Control
by: Studt, Max, et al.
Published: (2025)

Joint Chance Constrained Optimal Control via Linear Programming
by: Schmid, Niklas, et al.
Published: (2024)

Deadbeat Robust Model Predictive Control: Robustness without Computing Robust Invariant Sets
by: Schildbach, G.
Published: (2023)

Decentralized Contingency MPC based on Safe Sets for Nonlinear Multi-agent Collision Avoidance
by: Studt, Max, et al.
Published: (2026)

Chance-Constrained Covariance Steering for Discrete-Time Markov Jump Linear Systems
by: Shrivastava, Shaurya, et al.
Published: (2025)

Computing Optimal Joint Chance Constrained Control Policies
by: Schmid, Niklas, et al.
Published: (2023)

Robustifying Model Predictive Control of Uncertain Linear Systems with Chance Constraints
by: Wang, Kai, et al.
Published: (2024)

Computationally Efficient Chance Constrained Covariance Control with Output Feedback
by: Pilipovsky, Joshua, et al.
Published: (2023)

Layered Multirate Control of Constrained Linear Systems
by: Stamouli, Charis, et al.
Published: (2025)

Distributionally Robust Control for Chance-Constrained Signal Temporal Logic Specifications
by: Kordabad, Arash Bahari, et al.
Published: (2024)

Chance-Constrained Set Multicover Problem
by: Yao, Shunyu, et al.
Published: (2024)

Inverse Chance Constrained Optimal Power Flow
by: Wang, Shenglu, et al.
Published: (2025)

Chance-Constrained Control for Safe Spacecraft Autonomy: Convex Programming Approach
by: Oguri, Kenshiro
Published: (2024)

Analytic Non-Gaussian Confidence Boundary Method for Chance-Constrained Trajectory Control
by: Burnett, Ethan, et al.
Published: (2026)

Distributionally Robust Complex Chance-Constrained Optimization
by: Madani, Raneem, et al.
Published: (2026)

Convex Chance-Constrained Programs with Wasserstein Ambiguity
by: Shen, Haoming, et al.
Published: (2021)

Chance-Constrained Optimization with Complex Variables
by: Madani, Raneem, et al.
Published: (2025)

Sample Complexity of Chance Constrained Optimization in Dynamic Environment
by: Shukla, Apurv, et al.
Published: (2024)

Robust Spacecraft Low-Thrust Trajectory Design: A Chance-Constrained Covariance-Steering Approach
by: Babapour, Meysam, et al.
Published: (2026)

Model Predictive Control for Constrained Linear Positive Systems on Graphs
by: Schurig, Roland, et al.
Published: (2026)

Bilevel Transmission Expansion Planning with Joint Chance-Constrained Dispatch
by: Xia, Yuxin, et al.
Published: (2025)

Chance-Constrained Energy Storage Pricing for Social Welfare Maximization
by: Qi, Ning, et al.
Published: (2024)

Robust and Flexible Microtransit Design: Chance-Constrained Dial-a-Ride Problem with Soft Time Windows
by: Li, Hongli, et al.
Published: (2025)

0/1 Constrained Optimization Solving Sample Average Approximation for Chance Constrained Programming
by: Zhou, Shenglong, et al.
Published: (2022)

On Learning for Ambiguous Chance Constrained Problems
by: Madhusudanarao, A Ch, et al.
Published: (2023)

Conformal Predictive Programming for Chance Constrained Optimization
by: Zhao, Yiqi, et al.
Published: (2024)

Uncertainty Partitioning with Probabilistic Feasibility and Performance Guarantees for Chance-Constrained Optimization
by: Cordiano, Francesco, et al.
Published: (2025)

On Solving Chance-Constrained Models with Gaussian Mixture Distribution
by: Dey, Shibshankar, et al.
Published: (2025)

Chance-Constrained Gaussian Mixture Steering to a Terminal Gaussian Distribution
by: Kumagai, Naoya, et al.
Published: (2024)

Explicit Ensemble Learning Surrogate for Joint Chance-Constrained Optimal Power Flow
by: Javadi, Amir Bahador, et al.
Published: (2025)

Convex Chance-Constrained Stochastic Control under Uncertain Specifications with Application to Learning-Based Hybrid Powertrain Control
by: Kato, Teruki, et al.
Published: (2026)

Unifying Chance-Constrained and Robust Optimal Power Flow for Resilient Network Operations
by: Porras, Álvaro, et al.
Published: (2023)

Approximating Rockafellians Mitigate Distributional Perturbations: Discontinuous Integrands and Chance-Constrained Applications
by: Tian, Lai, et al.
Published: (2025)

A Proximal DC Algorithm for Sample Average Approximation of Chance Constrained Programming
by: Wang, Peng, et al.
Published: (2023)

Strengthened and Faster Linear Approximation to Joint Chance Constraints with Wasserstein Ambiguity
by: Zhou, Yihong, et al.
Published: (2024)