Results 11 to 20 of about 1,613,291 (363)
Optimal Neural Network PID Approach for Building Thermal Management
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
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
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]
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]
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]
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]
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
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]
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
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

