Embedded Low Power Controller for Autonomous Landing of UAV Using Artificial Neural Network.
Ahmad DinBasilio BonaJoel MorrissetteMoazzam HussainMassimo ViolanteM. Fawad NaseemPublished in: FIT (2012)
Keyphrases
- low power
- using artificial neural networks
- low cost
- unmanned aerial vehicles
- power consumption
- high speed
- control algorithm
- artificial neural networks
- embedded systems
- control system
- single chip
- high power
- logic circuits
- real time
- digital signal processing
- wireless transmission
- vlsi architecture
- path planning
- neural network
- control law
- low power consumption
- mixed signal
- image sensor
- pid controller
- control scheme
- power reduction
- neural network model
- adaptive control
- closed loop
- friction coefficient
- finite element analysis
- power dissipation
- cmos technology
- long range
- hardware and software
- robotic systems
- control strategy
- vlsi circuits