Results 111 to 120 of about 15,717,904 (337)

Research and Experiment on an Adaptive Feedforward Compensation Composite Control Strategy for an Electro-Hydraulic Servo System

open access: yesIEEE Access
In order to reduce the tracking and response errors of the electro-hydraulic servo system, improve the dynamic response quality of the system, enhance the adaptive ability of the system, and effectively solve the common problems of nonlinear interference
Mei Luhai
doaj   +1 more source

Input filter compensation for switching regulators [PDF]

open access: yes
The problems caused by the interaction between the input filter, output filter, and the control loop are discussed. The input filter design is made more complicated because of the need to avoid performance degradation and also stay within the weight and ...
Kelkar, S. S., Lee, F. C.
core   +1 more source

Recurrent backpropagation and the dynamical approach to adaptive neural computation [PDF]

open access: yes, 1989
Error backpropagation in feedforward neural network models is a popular learning algorithm that has its roots in nonlinear estimation and optimization.
Pineda, Fernando J.
core  

FEEDFORWARD CONTROL OF MULTISTAGE PROCESS

open access: yesJOURNAL OF CHEMICAL ENGINEERING OF JAPAN, 1971
The feedforward control of co-current stage processes has been investigated. Forming inner feedforward control loops inside the stage process is expected to improve the process dynamics. To get suitable control response to load change, parameter optimization is discussed.
TOSHIYUKI YOKOTA, TOSHIYUKI OSAWA
openaire   +2 more sources

A Novel Contact‐Implicit Trajectory Optimization Framework for Quadruped Locomotion without Fixed Contact Sequences

open access: yesAdvanced Intelligent Systems, EarlyView.
Legged robots have advanced in environmental interaction through contact, but most works rely on fixed contact sequences. This work presents a new method based on an indirect optimization method for legged robots to automatically generate contact sequences for complex movements.
Yaowei Chen, Jie Zhang, Ming Lyu
wiley   +1 more source

The Control of Non Isothermal CSTR Using Different Controller Strategies

open access: yesIraqi Journal of Chemical and Petroleum Engineering, 2012
In all process industries, the process variables like flow, pressure, level, concentration and temperature are the main parameters that need to be controlled in both set point and load changes.
Zahra'a F. Zuhwar
doaj  

A Multi-Resonant based reference feedforward adaptive voltage control for Grid-Forming inverter in island mode to compensate system uncertain and harmonic distortions

open access: yesInternational Journal of Electrical Power & Energy Systems
This paper investigates a novel adaptive voltage control over a three-phase grid-forming (GFM) inverter. The proposed voltage controller includes two function parts: power control input and signal control input. The former improves dynamic performance by
Renzhi Huang   +6 more
doaj   +1 more source

Comparative Neuromechanical Wing‐Actuation Architectures of Flapping Flight in Insects, Hummingbirds, and Robots

open access: yesAdvanced Intelligent Systems, EarlyView.
Natural fliers achieve remarkable aerial performance through diverse wing neuromechanical systems integrating actuation, sensing, and control. This study synthesizes neuromechanical architectures in insects and hummingbirds, identifying two key functional types‐Dual Neural‐Mechanical Oscillator and Neurally‐modulated Mechanical Oscillator‐ and ...
Suyash Agrawal   +4 more
wiley   +1 more source

Method and apparatus for adaptive force and position control of manipulators [PDF]

open access: yes, 1989
The present invention discloses systematic methods and apparatus for the design of real time controllers. Real-time control employs adaptive force/position by use of feedforward and feedback controllers, with the feedforward controller being the inverse ...
Seraji, Homayoun
core   +1 more source

Neuromorphic Photonic Processing and Memory With Spiking Resonant Tunneling Diode Neurons and Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
This work shows resonant tunneling diode‐based opto‐electronic spiking neurons enabling fast edge detection in time series, a two‐layer photonic spiking neural network for complex classification, and a depth‐tunable photonic spiking memory system. Neuromorphic computing—modeled after the functionality and efficiency of biological neural systems—offers ...
Dafydd Owen‐Newns   +8 more
wiley   +1 more source

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