Results 41 to 50 of about 3,531,090 (251)
Learning-based predictive control for linear systems: a unitary approach
A comprehensive approach addressing identification and control for learningbased Model Predictive Control (MPC) for linear systems is presented. The design technique yields a data-driven MPC law, based on a dataset collected from the working plant.
Fagiano, Lorenzo +3 more
core +1 more source
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga +56 more
wiley +1 more source
Design and Implementation of UAV Velocity Controller Based on Reference Model Sliding Mode Control
In recent years, multi-rotor unmanned aerial vehicles (UAV) have been widely applied for various applications; however, they are yet to be as commonly utilized in certain industrial transportation applications.
Qi Wang +5 more
doaj +1 more source
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard +8 more
wiley +1 more source
A Low Dynamic Deviation and High Robustness Position Control Strategy Based on Virtual Reference
This paper proposes a modified model predictive control method with the virtual model (VM-MPC) to generate a virtual reference of the position loop. The dynamic deviation is introduced into the virtual reference as a position advance.
Tao Liu +3 more
doaj +1 more source
Deep Model Reference Adaptive Control [PDF]
We present a new neuroadaptive architecture: Deep Neural Network based Model Reference Adaptive Control (DMRAC). Our architecture utilizes the power of deep neural network representations for modeling significant nonlinearities while marrying it with the boundedness guarantees that characterize MRAC based controllers. We demonstrate through simulations
Joshi, Girish, Chowdhary, Girish
openaire +2 more sources
Mitigating ground effect on mini quadcopters with model reference adaptive control [PDF]
Mitigating ground effect becomes a big challenge for autonomous aerial vehicles when they are flying in close proximity to the ground. This paper aims to develop a precise model of ground effect on mini quadcopters, provide an advanced control algorithm ...
Chan, SN, Kong, Z, Lee, S, Wei, P
core
ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis +13 more
wiley +1 more source
Data-driven controller synthesis methods use input/output information to find the coefficients of a proposed control architecture. Virtual Reference Feedback Tuning (VRFT) is one of the most popular frameworks due to its simplicity and one-shoot ...
Juan Gabriel Araque +3 more
doaj +1 more source
Adaptive control of nonlinear dynamical systems using a model reference approach [PDF]
In this paper we consider using a model reference adaptive control approach to control nonlinear systems. We consider the controller design and stability analysis associated with these type of adaptive systems.
Wagg, D.J.
core +1 more source

