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Referring to the fact that the $$\varvec{n}$$ n th links bipedal walking robot has high nonlinearity and uncertainty parameters; therefore robust controllers for walking robot should be properly designed. This paper proposes a new robust control scheme based on fuzzy system and Ant Colony Optimization algorithm. Adaptive fuzzy controllers (AFCs) based on Ant Colony Optimization (ACO) algorithm...
Navigation and obstacle avoidance problems are introduced and solved in this paper. A new algorithm called quadratic Bezier curves is used to navigate a mobile robot in an unknown environment. The quadratic Bezier curve can be improved through a division and conquer technique whose basic operation is the generation of multiple midpoints on a specific curve. The platform of the mobile robot is constructed...
Suspension systems are essential parts in vehicles because of their usefulness for riding comfort and safety of passengers. Suspension system is used to isolate the road disturbance experienced by the tires from being transmitted to the passengers. The main objective of this paper is to propose a new intelligent control scheme based on using fuzzy logic and artificial bee colony (ABC) optimization...
The aim of this work is to demonstrate the usefulness of Adaptive Neuro Fuzzy Inference System (ANFIS) for tracking Maximum Power Point (MPP) in stand-alone photovoltaic system. Maximum Power Point Tracking (MPPT) is one of approaches which boost efficiency of PhotoVoltaic (PV) cells by the load matching between the PV cells and the load. The key problem is that maximum power is not achieved because...
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