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[PDF] Top 20 Adaptive Trajectory Tracking Control of a Quadrotor Based on Iterative Learning Algorithm

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Adaptive Trajectory Tracking Control of a Quadrotor Based on Iterative Learning Algorithm

Adaptive Trajectory Tracking Control of a Quadrotor Based on Iterative Learning Algorithm

... Distributed under a Creative Commons CC BY license..[r] ... See full document

10

Robust Performance Analysis for a Cascade Nonlinear H∞ Control Algorithm In Quadrotor Position Tracking

Robust Performance Analysis for a Cascade Nonlinear H∞ Control Algorithm In Quadrotor Position Tracking

... to control the helicopter attitude and altitude in the ...outer-loop control was performed using a Model-based Predictive Controller (MPC) to track the reference ...proposed control strategy ... See full document

18

ROBOT TRAJECTORY TRACKING WITH ADAPTIVE RBFNN-BASED FUZZY SLIDING MODE CONTROL

ROBOT TRAJECTORY TRACKING WITH ADAPTIVE RBFNN-BASED FUZZY SLIDING MODE CONTROL

... mode control methodology is ...an adaptive algorithm for the purpose of controlling the system states to hit the sliding surface and then slide along ...PID control are implemented on an ... See full document

6

Indirect Neural Adaptive Control for Wheeled Mobile Robot

Indirect Neural Adaptive Control for Wheeled Mobile Robot

... precise trajectory tracking of a wheeled mobile robot, accurate control of the position along a reference trajectory is ...neural adaptive controller for a nonholonomic mobile robot ... See full document

8

Fuzzy PD-Type Iterative Learning Control of a Single Pneumatic Muscle Actuator

Fuzzy PD-Type Iterative Learning Control of a Single Pneumatic Muscle Actuator

... ILC algorithm to PMA control has several prominent ad- ...robust iterative feedback tuning (IFT) technique for repetitive training control of a PMAs driven compliant parallel ankle ... See full document

12

Adaptive On-line Genetic Algorithm Based PD Iterative Control for PUMA560

Adaptive On-line Genetic Algorithm Based PD Iterative Control for PUMA560

... Iterative Learning Control (ILC) method was proposed by Arimoto et al in 1984 which successfully established the ILC framework in the control systems community by defining the principles that ... See full document

8

PID control, flexible manipulator, Iterative learning control, Adaptive control

PID control, flexible manipulator, Iterative learning control, Adaptive control

... ILC control algorithm has been developed for two-link flexible ...and adaptive PDPID ...ILC learning algorithm incorporated in the adaptive PDPID controller uses the square of ... See full document

6

Trajectory Generation and Control for Quadrotors

Trajectory Generation and Control for Quadrotors

... machine learning techniques have been successful in learning models using data from human pilots [9] and in improving performance using reinforcement learning [54], these approaches do not appear to ... See full document

137

Perfect Tracking of Supercavitating Non-minimum Phase Vehicles Using a New Robust and Adaptive Parameter-optimal Iterative Learning Control

Perfect Tracking of Supercavitating Non-minimum Phase Vehicles Using a New Robust and Adaptive Parameter-optimal Iterative Learning Control

... the control necessary for solving the problem of non-minimum phase behavior of the ...this control can be calculated using iterative learning control (ILC) which will provide a new ... See full document

10

Back-Stepping Fuzzy Adaptive Sliding Mode Trajectory Tracking Control for Wall-Climbing Robot

Back-Stepping Fuzzy Adaptive Sliding Mode Trajectory Tracking Control for Wall-Climbing Robot

... novel trajectory tracking system of WCR based ...the control law and the number of switching times of the sliding mode surface, we firstly explored that the output of the kinematics controller ... See full document

18

Linear Data-Model Based Adaptive ILC for Freeway Ramp Metering without Identical Conditions on Initial States and Reference Trajectory

Linear Data-Model Based Adaptive ILC for Freeway Ramp Metering without Identical Conditions on Initial States and Reference Trajectory

... that iterative learning control (ILC) [8, 10-12, 16, 25] is very suitable for a repetitive ...process. Based on this observation, some ILC based ramp metering strate- gies have been ... See full document

10

Feedback Linearization with Intelligent Disturbance Observer for Autonomous Quadrotor with Time-varying Disturbance

Feedback Linearization with Intelligent Disturbance Observer for Autonomous Quadrotor with Time-varying Disturbance

... the adaptive or robust methods, AADC technique reacts directly to the disturbances by feedforward compensation control design using measurements or disturbance estimations via disturbance ...for ... See full document

9

An Adaptive Fuzzy Controller for Trajectory Tracking of Robot Manipulator

An Adaptive Fuzzy Controller for Trajectory Tracking of Robot Manipulator

... an adaptive fuzzy control algorithm is proposed for trajectory tracking of an n-DOF robot ma- nipulator subjected to parametric uncertainty and it is advantageous compared to the ... See full document

7

Research On End Trajectory Tracking Algorithm Of Dual-Manipulator Coordination Control Based On MPC Method

Research On End Trajectory Tracking Algorithm Of Dual-Manipulator Coordination Control Based On MPC Method

... coordination control strategies, master-slave control was proposed as a kind of control methods for dual-robot system in early researches, where there is no need to consider the dynamics model of ... See full document

7

Fuzzy Based Trajectory Tracking Control of a Mobile Robot

Fuzzy Based Trajectory Tracking Control of a Mobile Robot

... Although these methods have been proven to be efficient and provide good short term position estimates, they suffer from unbounded error growth due to the integration of minute measurements to obtain the final estimate ... See full document

9

Low-dose CT reconstruction via L1 dictionary learning regularization using iteratively reweighted least-squares

Low-dose CT reconstruction via L1 dictionary learning regularization using iteratively reweighted least-squares

... least-squares) based methods [2] can only deal with the noise-contaminated sinogram data to some ...backprojection algorithm) [3], since the analytic-based algorithms require that the number of ... See full document

21

Trajectory Tracking Controls for Non-holonomic Systems Using Dynamic Feedback Linearization Based on Piecewise Multi-Linear Models

Trajectory Tracking Controls for Non-holonomic Systems Using Dynamic Feedback Linearization Based on Piecewise Multi-Linear Models

... Tadanari Taniguchi receive the Doctor of Engineering degree from the University of Electro-Communications, Tokyo, Japan, in 2001. He was born in Toyama, Japan, in 1971. He graduated from the University of ... See full document

13

Adapting SE (3) Nonlinear Geometric Method to Control Single-Tri Rotors with Integrator

Adapting SE (3) Nonlinear Geometric Method to Control Single-Tri Rotors with Integrator

... Due to the under-actuated nature of the system, we cannot freely decouple the attitude tracking and position tracking. This problem is further complicated by the coupling between thrust direction and ... See full document

10

Comparative Study of PI Controller and Model Based Predictive Control for Mobile Robot

Comparative Study of PI Controller and Model Based Predictive Control for Mobile Robot

... the trajectory tracking problem of two wheeled mobile ...the control law then we present a PI controller and a model predictive controller to solve the problem of trajectory ...predictive ... See full document

11

Trajectory tracking control of agricultural vehicles based on disturbance test

Trajectory tracking control of agricultural vehicles based on disturbance test

... fuzzy control path tracking controller based on the nonlinear least square method and developed the navigation control system based on GNSS, but it had large tracking error in ... See full document

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