Imagen de Portada

Sensitivity-Based Distributed Model Predictive Control for Nonlinear Systems under Inexact Optimization

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	von Esch, Maximilian Pierer, Völz, Andreas, Graichen, Knut
Formato:	Preprint
Publicado:	2024
Materias:	Optimization and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

An Overview of Sensitivity-Based Distributed Optimization and Model Predictive Control
por: von Esch, Maximilian Pierer, et al.
Publicado: (2025)

Sensitivity-Based Distributed Programming for Non-Convex Optimization
por: von Esch, Maximilian Pierer, et al.
Publicado: (2025)

Sensitivity‐Based Distributed Model Predictive Control for Non‐Linear Systems Under Inexact Optimization
por: Maximilian Pierer von Esch, et al.
Publicado: (2025)

Enforcing Convergence in Sensitivity-based Distributed Programming via Transformed Primal-Dual Updates
por: von Esch, Maximilian Pierer, et al.
Publicado: (2025)

Asynchronous ADMM for nonlinear continuous‐time systems
por: Maximilian Pierer von Esch, et al.
Publicado: (2024)

Recursive Feasibility of Nonlinear Stochastic Model Predictive Control With Gaussian Process Dynamics
por: Daniel Landgraf, et al.
Publicado: (2026)

Adaptive Economic Model Predictive Control: Performance Guarantees for Nonlinear Systems
por: Degner, Maximilian, et al.
Publicado: (2024)

Physics-informed Gaussian Processes for Model Predictive Control of Nonlinear Systems
por: Lepp, Adrian, et al.
Publicado: (2025)

A software framework for stochastic model predictive control of nonlinear continuous-time systems (GRAMPC-S)
por: Landgraf, Daniel, et al.
Publicado: (2024)

Distributed and Inexact Proximal Gradient Method for Online Convex Optimization
por: Bastianello, Nicola, et al.
Publicado: (2020)

Higher Degree Inexact Model for Optimization problems
por: Alkousa, Mohammad, et al.
Publicado: (2024)

Efficient Gradient Tracking Algorithms for Distributed Optimization Problems with Inexact Communication
por: Zhao, Shengchao, et al.
Publicado: (2025)

Differentiable-by-design Nonlinear Optimization for Model Predictive Control
por: Zuliani, Riccardo, et al.
Publicado: (2025)

Distributed Nonlinear Model Predictive Control for District Heating Networks
por: Bettoni, Alessandro, et al.
Publicado: (2026)

Online Learning-Based Predictive Control for Nonlinear System
por: Zhang, Yuanqing, et al.
Publicado: (2025)

Distributed Derivative-Free Optimization Using Inexact ADMM and Trust-Region Methods
por: Fasiku, Damilola, et al.
Publicado: (2025)

An Inexact Alternating Direction Method of Multipliers for Constrained Parabolic Optimal Distributed Control Problems
por: Song, Haiming, et al.
Publicado: (2026)

MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods
por: Wu, Mou, et al.
Publicado: (2024)

Distributed Inexact Newton Method with Adaptive Step Sizes
por: Jakovetic, Dusan, et al.
Publicado: (2023)

Distributed Model Predictive Control for Piecewise Affine Systems Based on Switching ADMM
por: Mallick, Samuel, et al.
Publicado: (2024)

On the Convergence Analysis of an Inexact Preconditioned Stochastic Model-Based Algorithm
por: Bao, Chenglong, et al.
Publicado: (2025)

From Inexact Gradients to Byzantine Robustness: Acceleration and Optimization under Similarity
por: Gaucher, Renaud, et al.
Publicado: (2026)

Parallel Inexact Levenberg-Marquardt Method for Nearly-Separable Nonlinear Least Squares
por: Fodor, Lidija, et al.
Publicado: (2023)

An Inexact Conditional Gradient Method for Constrained Bilevel Optimization
por: Abolfazli, Nazanin, et al.
Publicado: (2023)

Accelerating Full-Scale Nonlinear Model Predictive Control via Surrogate Dynamics Optimization
por: Beja-Battais, Perceval, et al.
Publicado: (2026)

On Some Versions of Subspace Optimization Methods with Inexact Gradient Information
por: Kuruzov, Ilya, et al.
Publicado: (2024)

An Inexact Preconditioned Zeroth-order Proximal Method for Composite Optimization
por: Liu, Shanglin, et al.
Publicado: (2024)

An Inexact Proximal Framework for Nonsmooth Riemannian Difference-of-Convex Optimization
por: Jiang, Bo, et al.
Publicado: (2025)

Inexactly Smooth Performance Estimation and New Optimized Gradient Methods
por: Zoll, Aaron, et al.
Publicado: (2026)

Two Innovations in Inexact Augmented Lagrangian Methods for Convex Optimization
por: Eckstein, Jonathan, et al.
Publicado: (2025)

Data-Enabled Predictive Control for Nonlinear Systems Based on a Koopman Bilinear Realization
por: Xiong, Zuxun, et al.
Publicado: (2025)

Control-Based Online Distributed Optimization
por: van Weerelt, Wouter J. A., et al.
Publicado: (2025)

Distributed Truncated Predictive Control for Networked Systems under Uncertainty: Stability and Near-Optimality Guarantee
por: Xu, Eric, et al.
Publicado: (2023)

Convergence Analysis of a Relative-type Inexact Preconditioned Proximal ALM for Convex Nonlinear Programming
por: Yang, Lei, et al.
Publicado: (2025)

Inexact and Implementable Accelerated Newton Proximal Extragradient Method for Convex Optimization
por: Huang, Ziyu, et al.
Publicado: (2024)

A Unified Inexact Stochastic ADMM for Composite Nonconvex and Nonsmooth Optimization
por: Zeng, Yuxuan, et al.
Publicado: (2024)

OFF (Proximal) Newton-type Methods with Inexact Derivatives for Unconstrained Optimization
por: Zhu, Hong
Publicado: (2025)

Inexact Zeroth-Order Nonsmooth and Nonconvex Stochastic Composite Optimization and Applications
por: Pougkakiotis, Spyridon, et al.
Publicado: (2025)

Robustness of the Frank-Wolfe Method under Inexact Oracles and the Cost of Linear Minimization
por: Hu, Tao
Publicado: (2025)

Optimization-Based Control of Distributed Battery Storage in Distribution Networks
por: de Carvalho, Wilhiam, et al.
Publicado: (2024)