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Adaptive motion cueing algorithm based on fuzzy logic using online dexterity and direction monitoring
Motion cueing algorithm (MCA) is used to reproduce the realistic driving motion feeling for
the user of the virtual vehicle using linear acceleration and angular velocity motion signals …
the user of the virtual vehicle using linear acceleration and angular velocity motion signals …
Prediction of motion simulator signals using time-series neural networks
A motion cueing algorithm (MCA) is employed to transform the linear and angular motion
signals generated from a motion simulator without violating the physical and dynamical …
signals generated from a motion simulator without violating the physical and dynamical …
An optimal motion cueing algorithm using the inverse kinematic solution of the hexapod simulation platform
The vehicle motion signals is not able to be replicated using the simulation-based motion
platform (SBMP) because of the workspace boundaries. The workspace limitations are …
platform (SBMP) because of the workspace boundaries. The workspace limitations are …
A time-varying weight MPC-based motion cueing algorithm for motion simulation platform
The motion cueing algorithm (MCA) is playing the most critical role in motion simulation
platform (MSP) to reproduce the realistic motion sensation of the real car for the MSP's users …
platform (MSP) to reproduce the realistic motion sensation of the real car for the MSP's users …
An optimal washout filter for motion platform using neural network and fuzzy logic
To experience the motion sensation of a real vehicle through a motion simulator, a motion
cueing algorithm (MCA) is required to transform the vehicle motions to the driving motion …
cueing algorithm (MCA) is required to transform the vehicle motions to the driving motion …
A new prepositioning technique of a motion simulator platform using nonlinear model predictive control and recurrent neural network
The motion cueing algorithm (MCA) is the main algorithm in motion simulators in charge of
generating vehicle motions within the platform's constraints. The classical washout filter is …
generating vehicle motions within the platform's constraints. The classical washout filter is …
A novel decoupled model predictive control-based motion cueing algorithm for driving simulators
The motion cueing algorithm (MCA) is used to reproduce the driving/flying motion sensation
of the real land or air vehicles for the users of motion simulator. Highly accurate MCAs are …
of the real land or air vehicles for the users of motion simulator. Highly accurate MCAs are …
Time series prediction of driving motion scenarios using fuzzy neural networks: Motion signal prediction using FNNs
Motion signals can be reproduced using a simulation-based motion platform (SBMP) and
virtual reality. In this respect, time series prediction of the driving motion scenarios can …
virtual reality. In this respect, time series prediction of the driving motion scenarios can …
Integration of deep sparse autoencoder and particle swarm optimization to develop a recommender system
Recommender systems are known as intelligent systems which have many applications in
enormous domains such as social networks, e-commerce services, and online shop** …
enormous domains such as social networks, e-commerce services, and online shop** …
An optimal nonlinear model predictive control-based motion cueing algorithm using cascade optimization and human interaction
Nonlinear model predictive control has been used in motion cueing algorithms recently to
consider the nonlinear dynamics model of the system. The entire motion cueing algorithm …
consider the nonlinear dynamics model of the system. The entire motion cueing algorithm …