Recursively Feasible Stochastic Predictive Control Using an Interpolating Initial State Constraint
Author:
Affiliation:
1. Institute for Dynamic Systems and Control, ETH Zürich, Zürich, Switzerland
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Control and Optimization,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/7782633/9462165/09778220.pdf?arnumber=9778220
Reference31 articles.
1. Recursively feasible stochastic predictive control using an interpolating initial state constraint—Extended version;köhler;arXiv 2203 01073,2022
2. Multivariate Unimodality
3. A tractable approximation of chance constrained stochastic MPC based on affine disturbance feedback
4. Stochastic Model Predictive Control of constrained linear systems with additive uncertainty
5. Stochastic MPC Framework for Controlling the Average Constraint Violation
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