Enhancing MOEA/D with information feedback models for large-scale many-objective optimization
A multi-objective evolutionary algorithm based on decomposition (MOEA/D) is a classic
decomposition-based multi-objective optimization algorithm. In the standard MOEA/D …
decomposition-based multi-objective optimization algorithm. In the standard MOEA/D …
Stochastic numerical approach for solving second order nonlinear singular functional differential equation
A new computational intelligence numerical scheme is presented for the solution of second
order nonlinear singular functional differential equations (FDEs) using artificial neural …
order nonlinear singular functional differential equations (FDEs) using artificial neural …
Multiobjective and interactive genetic algorithms for weight tuning of a model predictive control-based motion cueing algorithm
Driving simulators are effective tools for training, virtual prototy**, and safety assessment
which can minimize the cost and maximize road safety. Despite the aim of a realistic motion …
which can minimize the cost and maximize road safety. Despite the aim of a realistic motion …
Prepositioning of a land vehicle simulation-based motion platform using fuzzy logic and neural network
The motion cueing algorithms (MCAs) is the method that reproduces the motion sensation of
the real vehicle for the users of simulation-based motion platforms (SBMPs). Classical MCA …
the real vehicle for the users of simulation-based motion platforms (SBMPs). Classical MCA …
Increasing motion fidelity in driving simulators using a fuzzy-based washout filter
The motion cueing algorithm is the procedure used to regenerate vehicle motion cues by
transforming translational and rotational motions of a simulated vehicle into the simulator …
transforming translational and rotational motions of a simulated vehicle into the simulator …
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 …
High-fidelity hexarot simulation-based motion platform using fuzzy incremental controller and model predictive control-based motion cueing algorithm
The real vehicle motion signals cannot be applied for the simulation-based motion platforms
(SBMPs) due to the restricted workspace of the SBMPs. The motion cueing algorithms …
(SBMPs) due to the restricted workspace of the SBMPs. The motion cueing algorithms …
A new gantry-tau-based mechanism using spherical wrist and model predictive control-based motion cueing algorithm
The 3 degree-of-freedom Gantry-Tau manipulator with the addition of the spherical wrist
mechanism which is called Gantry-Tau-3R is designed as a high-G simulation-based motion …
mechanism which is called Gantry-Tau-3R is designed as a high-G simulation-based motion …
Optimising control and prediction horizons of a model predictive control-based motion cueing algorithm using butterfly optimization algorithm
The Motion Cueing Algorithm (MCA) oversees regenerating the motion feeling of the real
vehicle for the simulation-based motion platform (SBMP) within the physical limitations …
vehicle for the simulation-based motion platform (SBMP) within the physical limitations …
[HTML][HTML] EMG feature extraction and muscle selection for continuous upper limb movement regression
Achieving a versatile control of exoskeletons or prostheses requires accurate, robust and
fast predictions of upcoming human movements. Electromyographic (EMG) signals are …
fast predictions of upcoming human movements. Electromyographic (EMG) signals are …