Adaptive order explicit polynomials for road edge tracking

2001 ◽  
Author(s):  
P. Katsande
Keyword(s):  
Edge Tracking

Automatic seam-line determination for orthoimage mosaics using edge-tracking based on a DSM

2017 ◽  
Vol 8 (10) ◽  
pp. 977-986 ◽  
Author(s):  
Maoteng Zheng ◽  
Xiaodong Xiong ◽  
Junfeng Zhu
Keyword(s):  
Edge Tracking

Position and Attitude Control of Underactuated Drones Using the Adaptive Function Approximation Technique

2020 ◽  
Author(s):  
Azin Shamshirgaran ◽  
Donald Ebeigbe ◽  
Dan Simon
Keyword(s):  
Disturbance Rejection ◽  
Function Approximation ◽  
Control Method ◽  
System Stability ◽  
Linear Feedback ◽  
Approximation Technique ◽  
Adaptive Function ◽  
Edge Tracking ◽  
Highly Nonlinear ◽  
Function Approximation Technique

Abstract Despite the popularity of drones and their relatively simple operation, the underlying control algorithms can be difficult to design due to the drones’ underactuation and highly nonlinear properties. This paper focuses on position and orientation control of drones to address challenges such as path and edge tracking, and disturbance rejection. The adaptive function approximation technique control method is used to control an underactuated and nonlinear drone. The controller utilizes reference attitude signals, that are derived from a proportional derivative (PD) linear feedback control methodology. To avoid analytic expressions for the reference attitude velocities, we employ a continuous-time Kalman filter based on a model of the measurement signal — which is derived by passing the reference attitude position through a low-pass signal differentiator — as a second-order Newtonian system. Stability of the closed loop system is proven using a Lyapunov function. Our design methodology simplifies the control process by requiring only a few tuning variables, while being robust to time-varying and time-invariant uncertainties with unknown variation bounds, and avoids the requirement for the knowledge of the dynamic equation that governs the attitude of the drone. Three different scenarios are simulated and our control method shows better accuracy than the proportional-derivative controller in terms of edge tracking and disturbance rejection.

Staring target edge tracking

1995 ◽  
Author(s):  
Jian Wu ◽  
Lianhe He
Keyword(s):  
Edge Tracking

The anti-jamming method based on front-back-edge tracking of VGPO jamming

2016 ◽  
Author(s):  
Liping Wu ◽  
Xiongjun Fu ◽  
Shiliang Liu ◽  
Shuilian Peng ◽  
Min Xie
Keyword(s):  
Edge Tracking ◽  
Back Edge
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