Cover Image

Reducing Simulation Effort for RIS Optimization using an Efficient Far-Field Approximation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lang, Hans-Dieter, Nyffenegger, Michel A., Mathis, Heinz, Zhang, Xingqi
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Validating Convex Optimization of Reconfigurable Intelligent Surfaces via Measurements
by: Lang, Hans-Dieter, et al.
Published: (2024)

Approximate Simulation-based Hierarchical Control of Nonlinear Systems
by: Niu, Zirui, et al.
Published: (2026)

Learning with Linear Function Approximations in Mean-Field Control
by: Bayraktar, Erhan, et al.
Published: (2024)

Efficient computation of Lipschitz constants for MPC with symmetries
by: Teichrib, Dieter, et al.
Published: (2023)

Co-Optimizing Distributed Energy Resources in Linear Complexity under Net Energy Metering
by: Alahmed, Ahmed S., et al.
Published: (2022)

Approximate Simulation-Based Verification of Compatibility of the Friedkin-Johnsen Model with Binary Observations
by: Xing, Yu, et al.
Published: (2026)

Safe Zeroth-Order Optimization Using Quadratic Local Approximations
by: Guo, Baiwei, et al.
Published: (2023)

Inferring Global Exponential Stability Properties using Lie-bracket Approximations
by: Weber, Marc, et al.
Published: (2024)

Minimum Effort Control Using Variational Methods of Analytical Mechanics A New Approach For Optimal Control
by: Abdelkhalik, Ossama, et al.
Published: (2026)

Variance-Reduced Gradient Estimator for Nonconvex Zeroth-Order Distributed Optimization
by: Mu, Huaiyi, et al.
Published: (2024)

Frequency Stability-Constrained Unit Commitment: Tight Approximation using Bernstein Polynomials
by: Zhou, Bo, et al.
Published: (2022)

Distributed Model Predictive Control for Energy and Comfort Optimization in Large Buildings Using Piecewise Affine Approximation
by: Li, Hongyi, et al.
Published: (2026)

Communication-Efficient Distributed Online Nonconvex Optimization with Time-Varying Constraints
by: Zhang, Kunpeng, et al.
Published: (2025)

Two-Timescale Asymptotic Simulations of Hybrid Inclusions with Applications to Stochastic Hybrid Optimization
by: Crisafulli, Max F., et al.
Published: (2026)

Nesterov Accelerated Distributed Optimization with Efficient Quantized Communication
by: Wu, Ruochen, et al.
Published: (2026)

On Computation of Approximate Solutions to Large-Scale Backstepping Kernel Equations via Continuum Approximation
by: Humaloja, Jukka-Pekka, et al.
Published: (2024)

Decentralized Optimization via RC-ALADIN with Efficient Quantized Communication
by: Du, Xu, et al.
Published: (2025)

Sufficient Conditions for Detectability of Approximately Discretized Nonlinear Systems
by: Siriya, Seth, et al.
Published: (2025)

A variational and symplectic framework for model-free control: preliminary results
by: Michel, Loïc
Published: (2010)

Peak Estimation of Rational Systems using Convex Optimization
by: Miller, Jared, et al.
Published: (2023)

Approximate Dynamic Programming with Feasibility Guarantees
by: Engelmann, Alexander, et al.
Published: (2023)

Leveraging Neural Networks to Optimize Heliostat Field Aiming Strategies in Concentrating Solar Power Tower Plants
by: Alcántara, Antonio, et al.
Published: (2024)

On $\ell_2$-performance of weakly-hard real-time control systems
by: Seidel, Marc, et al.
Published: (2023)

Robust performance for switched systems with constrained switching and its application to weakly hard real-time control systems
by: Lang, Simon, et al.
Published: (2024)

Distributed Optimization with Efficient Communication, Event-Triggered Solution Enhancement, and Operation Stopping
by: Rikos, Apostolos I., et al.
Published: (2025)

Distributed Optimization with Finite Bit Adaptive Quantization for Efficient Communication and Precision Enhancement
by: Rikos, Apostolos I., et al.
Published: (2024)

Robust Control of Constrained Linear Systems using Online Convex Optimization and a Reference Governor
by: Nonhoff, Marko, et al.
Published: (2026)

Avoidance of an unexpected obstacle without reinforcement learning: Why not using advanced control-theoretic tools?
by: Join, Cédric, et al.
Published: (2025)

Highly Efficient Optimal Control for Lyophilization via Simulation of Discrete/Continuous Mixed-index Differential-algebraic Equations
by: Srisuma, Prakitr, et al.
Published: (2025)

Self-Identifying Internal Model-Based Online Optimization
by: van Weerelt, Wouter J. A., et al.
Published: (2025)

An Error Bound for Aggregation in Approximate Dynamic Programming
by: Li, Yuchao, et al.
Published: (2025)

Policy Optimization for Unknown Systems using Differentiable Model Predictive Control
by: Zuliani, Riccardo, et al.
Published: (2025)

Unsafe Probabilities and Risk Contours for Stochastic Processes using Convex Optimization
by: Miller, Jared, et al.
Published: (2024)

Learning POMDPs with Linear Function Approximation and Finite Memory
by: Kara, Ali Devran
Published: (2025)

Convex Approximations of Random Constrained Markov Decision Processes
by: Varagapriya, V, et al.
Published: (2025)

A mixed-integer framework for analyzing neural network-based controllers for piecewise affine systems with bounded disturbances
by: Teichrib, Dieter, et al.
Published: (2025)

Error bounds for maxout neural network approximations of model predictive control
by: Teichrib, Dieter, et al.
Published: (2023)

Piecewise regression via mixed-integer programming for MPC
by: Teichrib, Dieter, et al.
Published: (2024)

Optimal Control using Composite Bernstein Approximants
by: MacLin, Gage, et al.
Published: (2024)

A Stochastic Fundamental Lemma with Reduced Disturbance Data Requirements
by: Ou, Ruchuan, et al.
Published: (2025)