Self|Balancing Vehicle Based on Adaptive Neuro|Fuzzy Inference ...

Self-Balancing Vehicle Based on Adaptive Neuro-Fuzzy Inference ...

The scope of this research is to design and fuse the sensors used in the self-balancing vehicle through Adaptive Neuro-Fuzzy Inference systems (ANFIS) ...

Self-Balancing Vehicle Based on Adaptive Neuro-Fuzzy Inference ...

Step 6: Check, if not satisfied, repeat step 4. Step 7: If condition satisfied, halt training and set up the fuzzy system engine ...

(PDF) Self-Balancing Vehicle Based on Adaptive Neuro-Fuzzy ...

PDF | On Jan 1, 2022, M. L. Ramamoorthy and others published Self-Balancing Vehicle Based on Adaptive Neuro-Fuzzy Inference System | Find, ...

A novel metaheuristics with adaptive neuro-fuzzy inference system ...

Either it can be a self-driving car ... Energy efficient neuro-fuzzy cluster based topology construction with metaheuristic route planning algorithm for unmanned ...

Self-adaptive algorithm for changing braking energy recuperation of ...

Self-adaptive algorithm for changing braking energy recuperation of an electric vehicle based on neuro-fuzzy inference system, V Medvedev, I Rudakov.

Learning-Based Control of Autonomous Vehicles Using an Adaptive ...

[39] proposed an ANFIS to design a controller with self-position ... Adaptive neuro-fuzzy inference system based modelling of vehicle guidance. J ...

An Adaptive Neuro-Fuzzy Inference System for estimating the ...

The method based on counting vehicles as they enter and exit a specific detection zone with check-in and check-out detectors is unreliable because of the likely ...

Adaptive Neuro Fuzzy Inference System Based Obstacle Avoidance ...

... self-driving. car is on the way, distance between an obstacle and the vehicle ... neurofuzzy inference system (ANFIS) for speed control of induction motor.

Adaptive Neuro-Fuzzy Control of Active Vehicle Suspension Based ...

Neural adaptive self-triggered control for uncertain nonlinear systems with input hysteresis. ... ANFIS: Adaptive-network-based fuzzy inference system. IEEE Trans ...

Design of AUV height control based on Adaptive Neuro-Fuzzy ...

This paper studies the applications of Adaptive Neuro-Fuzzy Inference Systems(ANFIS) in the Autonomous Underwater Vehicle(AUV) height control system.

Intelligent Parallel Parking Using Adaptive Neuro-Fuzzy Inference ...

Today's intelligent self-driving vehicles alongside technology development are more believable ... In this research adaptive-network-based fuzzy ...

Adaptive neuro-fuzzy inference control for active stabilizer bars ...

In general, the vehicle's rolling stability can be well guaranteed in all moving situations when using the ANFIS controller for the anti-roll ...

Self-adaptive neuro-fuzzy systems for autonomous underwater ...

Self-adaptive neuro-fuzzy systems for autonomous underwater vehicle control ... self-adaptive neurofuzzy inference system (SANFIS) with a fast hybrid ...

Development of an adaptive neuro‐fuzzy inference system–based ...

Abstract The most viable option to achieve the goals of saving energy and protecting the environment is to replace conventional vehicles ...

Design of AUV height control based on adaptive neuro-fuzzy ...

This paper studies the applications of Adaptive Neuro-Fuzzy Inference Systems(ANFIS) in the Autonomous Underwater Vehicle(AUV) height control system.

Adaptive Fuzzy Control of Two-Wheeled Balancing Vehicle ...

... vehicle-LEGO Mind storms NXT is first established. Based on the model developed, an adaptive fuzzy controller is then illustrated. Adaptation laws are ...

Adaptive neuro-fuzzy inference system based active force control ...

For safe navigation, autonomous underwater vehicles should follow the pre-determined path to avoid obstacles or other unsafe marine conditions ( ...

Neural Networks Identification and Control of Mobile Robot Using ...

... adaptive online learning is carried out using Adaptive Network Based Fuzzy Inference System ANFIS to improve the system performance. The simulation results ...

Learning-Based Control of Autonomous Vehicles Using an Adaptive ...

America's Workforce and the Self-Driving Future: Realizing ... Avdagic, Adaptive neuro-fuzzy inference system based modelling of vehicle guidance, J.

UAV Brushless DC motor Speed Control via Adaptive Neuro Fuzzy ...

UAV Brushless DC motor Speed Control via Adaptive Neuro Fuzzy Inference Systems (ANFIS) and Self-Adaptive PID.