• Publications
  • Influence
Neuro-fuzzy controller to navigate an unmanned vehicle
TLDR
A Neuro-fuzzy control method for an Unmanned Vehicle (UV) simulation is described and implemented to navigate the autonomous vehicle. Expand
  • 15
  • 1
On the control of robot manipulator: A model-free approach
TLDR
Model-Free Control and its related intelligent Proportional, Integral and Derivative regulators for multi/input-multi/output robot manipulators . Expand
  • 15
  • 1
Novel SMC control design for path following of autonomous vehicles with uncertainties and mismatched disturbances
TLDR
The article propose a novel robust, accurate, and fast control strategy with uncertainties/mismatched disturbances for path following control of autonomous vehicles using an innovative sliding mode control (SMC). Expand
  • 4
Unmanned vehicle trajectory tracking by neural networks
TLDR
In this paper, the Neural Networks (NN)-based technique Artificial Neural Network (ANN) is described to solve the motion-planning problem in Unmanned Vehicle (UV) control. Expand
  • 7
  • PDF
Magnetorquer control for orbital manoeuvre of low earth orbit microsatellite
A propulsion system is required in order for the spacecraft to be able to operate as a part of the constellation, and is used to carry out initial launcher injection corrections, spacecraftExpand
  • 12
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Multi-objective biogeography-based optimization technique for tuning PUMA 560’S controller
Biogeography-based optimization (BBO) is one of the recently developed population-based algorithms which has shown impressive performance over evolutionary algorithms. BBO is based on the study ofExpand
  • 5
Routing Optimization Using an Enhanced Protocol for Wireless Sensor Networks with Chain Structure
TLDR
We present a new routing protocol based on chains and optimized clustering that extends the network lifetime 40% to 50% over LEACH, 30% to 35% over that of LEACH-C, and 15% to 22% over PEGASIS. Expand
  • 1
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Neural Network Navigation Technique for Unmanned Vehicle
Using a neural network (ANN) for the brain, we want a vehicle to drive by itself avoiding obstacles. We accomplish this by choosing the appropriate inputs/outputs and by carefully training the ANN.Expand
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