Results 51 to 60 of about 12,042 (216)
CoRRWe study online linear-quadratic regulation (LQR) with unknown dynamics under communication rate constraints. Classical networked control quantizes the plant state at every time step, requiring $O(T)$ total bits while injecting persistent quantization noise that limits control performance.
Barron Han +2 more
openaire +3 more sources
Modeling the Interaction Between two-Wheeled Self-Balancing Vehicle and its Rider
International Journal of Applied Mechanics and Engineering, 2013 The paper presents a modeling method and mathematical description of a two-wheeled self-balancing vehicle and its rider. A model of the rider that was used contains a model of the ankle joint, so we could determine the interaction between the rider and ...
M. Ciężkowski
doaj +1 more source
Revista Iberoamericana de Automática e Informática Industrial RIAI, 2022 Durante las últimas décadas, los reguladores lineales basados en observadores de perturbaciones han experimentado un interés creciente entre la comunidad científica, principalmente, debido a sus buenas propiedades para tolerar cambios o incertidumbres en
Alberto Castillo +2 more
doaj +1 more source
Optimizing of Lqr Controller Parameters for Quadcopters [PDF]
, 2021 Yüksek Lisans TeziQuadcopterler üzerinde yapılan çalışmaların önemi özellikle son yirmi yılda oldukça artmıştır. Teknolojik gelişmeler, quadcopterlerin başarılı uçuşlar gerçekleştirmesi için yeterli donanım ve tasarım olanakları sunmaktadır.
Büyüker, Yasin
core +2 more sources
Adaptive State Feedback Control Method Based on Recursive Least Squares
Elektronika ir Elektrotechnika, 2022 This study revealed an adaptive state feedback control method based on recursive least squares (RLS) that is introduced for a time-varying system to work with high efficiency. Firstly, a system identification block was created that gives the mathematical
Mehmet Latif Levent, Omer Aydogdu
doaj +1 more source
Advanced Robotics Research, EarlyView.This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
LQR controller design for quad-rotor helicopters. [PDF]
, 2018 This paper presents an analysis and performance of a LQR control algorithm for quadrotor helicopters. For a successful analysis, first the dynamic model has been developed for the quadcopter and then the controller was designed, tuned and tested.
J.M. Andrade +4 more
core
Constrained LQR using online decomposition techniques [PDF]
2016 IEEE 55th Conference on Decision and Control (CDC), 2016 This paper presents an algorithm to solve the infinite horizon constrained linear quadratic regulator (CLQR) problem using operator splitting methods. First, the CLQR problem is reformulated as a (finite-time) model predictive control (MPC) problem without terminal constraints.
Laura Ferranti +3 more
openaire +3 more sources
Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers
Advanced Science, EarlyView.FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao +9 more
wiley +1 more source