Results 111 to 120 of about 37,119 (308)
Novel fuzzy logic controllers with self-tuning capability
, 2008 Two controllers which extend the PD+I fuzzy logic controller to deal with the plant having time varying nonlinear dynamics are proposed. The adaptation ability of the first self tuning PD+I fuzzy logic controller (STPD+I_31) is achieved by adjusting the ...
Lotfi, A, Teng, FC, Tsoi, AC
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Multi-optimization of PID controller parameters using stochastic search techniques for rotary inverted pendulum system [PDF]
, 2012 Proportional-Integral-Derivative (PID) controller is a well-known controller in various aspects of industrial automation due to its simplicity and effectiveness in design and implementation of industrial applications.
Bejarbaneh, Elham Yazdani
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Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This article introduces a computer vision‐assisted control strategy for light‐driven liquid crystal elastomer actuators. Through negative feedback regulation, the liquid crystal elastomer actuator exhibits accurate and stable bending deformation in complex environments.
Wei Zhang +6 more
wiley +1 more source
Model free analysis and tuning of PID controller
, 2013 In this paper, a new PID parameter tuning method is proposed. First, extensive analysis of the PID frequency properties is conducted. Based on the analysis results, the concept of characteristic frequency of the PID controller is proposed, which builds a
He YQ(何玉庆) +4 more
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PSO-Tuned PID controller of a gantry crane system [PDF]
, 2013 This project presents development of an optimal PID controller for controlling the nonlinear gantry crane system. The tuning method of Particle Swarm Optimization (PSO) with priority based fitness and linear weight summation approaches are implemented ...
Jaafar, Hazriq Izzuan
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Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.In this research, a paradigm of parameter estimation method for pneumatic soft hand control is proposed. The method includes the following: 1) sampling harmonic damping waves, 2) applying pseudo‐rigid body modeling and the logarithmic decrement method, and 3) deriving position and force control.
Haiyun Zhang +4 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes
Advanced Intelligent Systems, EarlyView.We propose an online, environment feedback‐driven macroscopic ensemble approach to adapt robot team task allocation in spatiotemporal environments by controlling robot populations rather than assigning individual robots, all while maintaining robust team performance even for small teams. Our simulation and experimental results show better or comparable
Victoria Edwards +2 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This work presents a magnetic bronchoscopy robot with a novel multi‐segment variable stiffness catheter. This catheter can not only move flexibly in the narrow bronchi but also harden according to the need to provide support. Combined with remote wireless magnetic field drive, it provides a more precise and effective solution for biopsy of deep lung ...
Shucong Yin +10 more
wiley +1 more source
Design of an Optimal PID Controller Based on Lyapunov Approach
, 2009 This paper addresses on design of an optimal proportional integral derivative (PID) controller by applying Lyapunov approach. The optimal PID controller is acquired through minimizing an augmented integral squared error (AISE) performance index that ...
Li XH(李先宏) +2 more
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