Results 131 to 140 of about 128,433 (326)

Performance investigations of APSO tuned linear and nonlinear PID controllers for a nonlinear dynamical system

open access: yesJournal of Electrical Systems and Information Technology, 2018
This paper investigates the performance of adaptive particle swarm optimization (APSO) algorithm to find the best optimal gain parameters (Kp, Ki, Kd) in linear PID (L-PID) and nonlinear PID (NL-PID) controllers for the trajectory control of a nonlinear ...
Sudarshan K. Valluru, Madhusudan Singh
doaj   +1 more source

Optimization of DC - DC boost converter using fuzzy logic controller [PDF]

open access: yes, 2013
DC-DC converters are electronic devices used to change DC electrical power efficiently from one voltage level to another. Operation of the switching devices causes the inherently nonlinear characteristic of the DC-DC converters including one known as
Soluman Ahtiwish, Aimen Khalifa
core  

Research Trends for PID Controllers

open access: yesActa Polytechnica, 2012
This paper analyses the most significant issues that have been recently been addressed by researchers in the field of Proportional-Integral-Derivative (PID) controllers. In particular, the most recent techniques proposed for tuning and designing PID-based control structures are briefly reviewed, together with methods for assessing their performance ...
openaire   +4 more sources

Self‐Sensing Artificial‐Muscle‐Empowered Humanlike Perception, Interaction, and Positioning

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The proposed self‐sensorized artificial muscle (SSAM) can sense its length change as small as 0.01 mm via a seamlessly integrated multi‐segment induction coil. The SSAM provides accurate length information regardless of its loadings, driving pressure, or muscle design, adequate for robust data‐driven feedback control.
Houping Wu   +6 more
wiley   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker   +2 more
wiley   +1 more source

Microcontroller Implementation of Digital Pid Controller [PDF]

open access: yes, 2014
A proportional-integral-derivative (PID) controller is widely used in industrial control systems to get the desired response by feedback. In this project, we attempt to implement a digital controller in a microcontroller. The primary difference between a
Alam, Shahrukh
core  

Extending Battery Usage Time of a Heavy‐Duty Mecanum‐Wheeled Autonomous Electric Vehicle Used in Iron–Steel Industry by Considering Wheel Slippage

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar   +2 more
wiley   +1 more source

Acid‐ and Nucleophile‐Gated Photoisomerization of Phosphaindirubin

open access: yesAngewandte Chemie, EarlyView.
Triply gated isomerization: In polar solvents, a phosphorus‐containing indirubin photoswitch undergoes visible‐light‐driven Z→E isomerization only when protonated, and reverts thermally via nucleophile‐catalyzed back‐isomerization. This three‐way control by light, acid, and nucleophile enables reversible photoisomerization.
Jacob Jan van der Wal   +8 more
wiley   +2 more sources

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai   +3 more
wiley   +1 more source

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