Results 41 to 50 of about 947,676 (231)

Automating Vehicles by Deep Reinforcement Learning using Task Separation with Hill Climbing

, 2018
Within the context of autonomous driving a model-based reinforcement learning algorithm is proposed for the design of neural network-parameterized controllers.
A Liniger, B Paden, C Urmson, CW Anderson, D Dolgov, D Wierstra, DQ Mayne, E Frazzoli, HT Siegelmann, J Xu, P Falcone, R Tedrake, T Schouwenaars   +12 more
core   +1 more source

Predictive Control for Linear and Hybrid Systems [PDF]

, 2017
Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented comprehensively in this unique book.
Bemporad, Alberto, Borrelli, Francesco, Morari, Manfred   +2 more
core   +2 more sources

Trajectory-Based Supplementary Damping Control for Power System Electromechanical Oscillations [PDF]

, 2014
This paper considers a trajectory-based approach to determine control signals superimposed to those of existing controllers so as to enhance the damping of electromechanical oscillations.
Glavic, Mevludin, Wang, Da, Wehenkel, Louis   +2 more
core   +1 more source

Model-Free Predictive Control Based on RLS Algorithm for Grid-Forming Inverters With Virtual Synchronous Generator

IEEE Access
As a key element to connect renewable energy sources, grid-forming inverters (GFIs) mostly use droop control as an outer loop, but it can cause a swift change in the system frequency when disturbances arise.
Min Huang, Huiying Zhang, Kangan Wang, Zhilei Yao, Weimin Wu   +4 more
doaj   +1 more source

Model Predictive collision-free path following control for nonholonomic mobile robots [PDF]

FME Transactions, 2023
In this research, a model predictive collision-free path following controller is developed and applied for an omnidirectional mobile robot (OMR). The mobile robot is controlled to track a reference path while avoiding collision with obstacles.
Hiep Thai Thanh, Cong Vo Duy, Phuong Le Hoai   +2 more
doaj  

Decentralized Model Predictive Control of Swarms of Spacecraft Using Sequential Convex Programming [PDF]

, 2013
This paper presents a decentralized, model predictive control algorithm for the reconfiguration of swarms of spacecraft composed of hundreds to thousands of agents with limited capabilities.
Chung, Soon-Jo, Hadaegh, Fred Y., Morgan, Daniel   +2 more
core  

Offset-free nonlinear Model Predictive Control with state-space process models

Archives of Control Sciences, 2017
Offset-free model predictive control (MPC) algorithms for nonlinear state-space process models, with modeling errors and under asymptotically constant external disturbances, is the subject of the paper. The main result of the paper is the presentation of
Tatjewski Piotr
doaj   +1 more source

Lateral prefrontal model-based signatures are reduced in healthy individuals with high trait impulsivity [PDF]

, 2015
High impulsivity is an important risk factor for addiction with evidence from endophenotype studies. In addiction, behavioral control is shifted toward the habitual end.
Deserno, L., Heinze, H.-J., Horstmann, A., Neumann, J., Reiter, A., Schlagenhauf, F., Villringer, A., Wilbertz, T.   +7 more
core   +1 more source

A Non-Linear Offset-Free Model Predictive Control Design Approach

Actuators
This paper presents a non-linear model predictive control approach for offset-free tracking and the rejection of piece-wise constant disturbances.
Haoran Zhang, Emmanuel Prempain
doaj   +1 more source

Linear Offset-Free Model Predictive Control in the Dynamic PLS Framework

Information, 2018
This work addresses the model predictive control (MPC) of the offset-free tracking problem in the dynamic partial least square (DyPLS) framework. Firstly, state space MPC based on the DyPLS is proposed.
Ligang Hou, Ze Wu, Xin Jin, Yue Wang
doaj   +1 more source