Results 11 to 20 of about 1,613,291 (363)

Optimal Neural Network PID Approach for Building Thermal Management

open access: yesEnergies, 2023
The process of thermal control and regulation in buildings is considered complex. Its complexity lies in the various internal and external physical phenomena impacting its control, and also in the increasingly important requirements of occupant comfort ...
Noureddine Boutchich   +3 more
doaj   +1 more source

Deep Reinforcement Learning-Based Path Control and Optimization for Unmanned Ships

open access: yesWireless Communications and Mobile Computing, 2022
Unmanned ship navigates on the water in an autonomous or semiautonomous way, which can be widely used in maritime transportation, intelligence collection, maritime training and testing, reconnaissance, and evidence collection.
Dingwei Wu   +4 more
semanticscholar   +1 more source

Battery Degradation in Electric and Hybrid Electric Vehicles: A Survey Study

open access: yesIEEE Access, 2023
The lithium-ion batteries used in electric vehicles have a shorter lifespan than other vehicle components, and the degradation mechanism inside these batteries reduces their life even more. Battery degradation is considered a significant issue in battery
Laxman Timilsina   +5 more
doaj   +1 more source

ON OPTIMALITY OF SINGULAR CONTROLS IN AN OPTIMAL CONTROL PROBLEM [PDF]

open access: yesVestnik Tomskogo gosudarstvennogo universiteta. Matematika i mekhanika, 2016
Summary: In this paper, a Moskalenko type optimal control problem is considered. We consider the optimal control problem of minimizing the terminal type functional \[\text{S(u,v)}=\varphi(y(x_1))+\int_{x_0}^{x_1}G(x,z(t_1,x))\,dx,\] under constraints \[ u(t,x)\in U\subset R^r, \quad (t,x)\in D=[t_0,t_1]\times[x_0,x_1], \] \[ v(x)\in V\subset R^q,\quad ...
Mansimov, K. B., Rasulova, Sh. M.
openaire   +1 more source

Prioritized optimal control [PDF]

open access: yes2014 IEEE International Conference on Robotics and Automation (ICRA), 2014
This paper presents a new technique to control highly redundant mechanical systems, such as humanoid robots. We take inspiration from two approaches. Prioritized control is a widespread multi-task technique in robotics and animation: tasks have strict priorities and they are satisfied only as long as they do not conflict with any higher-priority task ...
Andrea Del Prete   +5 more
openaire   +2 more sources

Optimal control and inverse optimal control by distribution matching [PDF]

open access: yes2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016
Optimal control is a powerful approach to achieve optimal behavior. However, it typically requires a manual specification of a cost function which often contains several objectives, such as reaching goal positions at different time steps or energy efficiency.
Oleg Arenz   +2 more
openaire   +4 more sources

Chance Constrained Policy Optimization for Process Control and Optimization [PDF]

open access: yesJournal of Process Control, 2020
Chemical process optimization and control are affected by 1) plant-model mismatch, 2) process disturbances, and 3) constraints for safe operation. Reinforcement learning by policy optimization would be a natural way to solve this due to its ability to ...
Panagiotis Petsagkourakis   +5 more
semanticscholar   +1 more source

Low Cost Evolutionary Neural Architecture Search (LENAS) Applied to Traffic Forecasting

open access: yesMachine Learning and Knowledge Extraction, 2023
Traffic forecasting is an important task for transportation engineering as it helps authorities to plan and control traffic flow, detect congestion, and reduce environmental impact.
Daniel Klosa, Christof Büskens
doaj   +1 more source

Optimization-Based Control for Dynamic Legged Robots [PDF]

open access: yesIEEE Transactions on robotics, 2022
In a world designed for legs, quadrupeds, bipeds, and humanoids have the opportunity to impact emerging robotics applications from logistics, to agriculture, to home assistance.
Patrick M. Wensing   +5 more
semanticscholar   +1 more source

A Fault Diagnosis Algorithm for the Dedicated Equipment Based on the CNN-LSTM Mechanism

open access: yesEnergies, 2023
Dedicated equipment, which is widely used in many different types of vehicles, is the core system that determines the combat capability of special vehicles. Therefore, assuring the normal operation of dedicated equipment is crucial.
Zhannan Guo   +5 more
doaj   +1 more source

Home - About - Disclaimer - Privacy