Results 91 to 100 of about 992,973 (322)

Reinforcement Learning for UAV Attitude Control [PDF]

open access: yes, 2018
Autopilot systems are typically composed of an "inner loop" providing stability and control, while an "outer loop" is responsible for mission-level objectives, e.g. way-point navigation.
Bestavros, Azer   +3 more
core   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

open access: yesAdvanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang   +4 more
wiley   +1 more source

Tuning PID Controller by Neural Network for Robot Manipulator Trajectory Tracking

open access: yesAl-Khawarizmi Engineering Journal, 2013
Ziegler and Nichols proposed the well-known Ziegler-Nichols method to tune the coefficients of PID controller. This tuning method is simple and gives fixed values for the coefficients which make PID controller have weak adaptabilities for the model ...
Saad Zaghlul Saeed Al-Khayyt
doaj  

Online Self-Tuning Precompensation for a PID Heading Control of a Flying Robot

open access: yesInternational Journal of Advanced Robotic Systems, 2006
In this paper, an online self-tuning precompensation for a Proportional-Integral-Derivative (PID) controller is proposed to control heading direction of a flying robot.
Sukon Puntunan, Manukid Parnichkun
doaj   +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

open access: yesAdvanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett   +5 more
wiley   +1 more source

Design of Unmanned Underwater Vehicle (UUV) For Precision Targeting Using Simple PID-Controler [PDF]

open access: yes, 2009
A model of an Unmanned Underwater Vehicle (UUV) for precision targeting using simple PID controller has been designed. The system has been assumed to have two-dimensional character, such that the mechanical control mechanism would be performed solely by ...
Kuntoro , Tri
core  

A survey of fuzzy control for stabilized platforms

open access: yes, 2011
This paper focusses on the application of fuzzy control techniques (fuzzy type-1 and type-2) and their hybrid forms (Hybrid adaptive fuzzy controller and fuzzy-PID controller) in the area of stabilized platforms.
Leghmizi, Said, Liu, Sheng
core   +1 more source

Implementation of hybrid SSA–SA based three‐degree‐of‐freedom fractional‐order PID controller for AGC of a two‐area power system integrated with small hydro plants

open access: yesIET Generation, Transmission & Distribution, 2020
In this work, a comparative study is analysed between the fractional-order controllers such as fractional-order proportional–integral–derivative (FOPID), two-degree-of-freedom proportional–integral–derivative (DOF FOPID) and 3DOF FOPID, and conventional ...
Jyoti Ranjan Nayak, B. Shaw, B. K. Sahu
semanticscholar   +1 more source

Tumbling Magnetic Microrobots for Targeted In Vivo Drug Delivery in the GI Tract

open access: yesAdvanced Robotics Research, EarlyView.
We introduce a microrobot design and integrated system for on‐demand targeted drug release in the gastrointestinal tract. The microrobot has an embedded magnet for actuation with external magnetic fields and is visualized in real time using ultrasound. It has two drug release ports sealed with a thermally sensitive wax. Local heating of the wax using a
Aaron C. Davis   +7 more
wiley   +1 more source

Case study: Bio-inspired self-adaptive strategy for spike-based PID controller [PDF]

open access: yes, 2015
A key requirement for modern large scale neuromorphic systems is the ability to detect and diagnose faults and to explore self-correction strategies. In particular, to perform this under area-constraints which meet scalability requirements of large ...
Harkin, Jim   +5 more
core  

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