Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Neural Adaptive controller for Magnetic levitation system
Control of Magnetic Levitation System Using Fuzzy Logic Control
Nonlinear adaptive flight control using neural networks
Magnetic Levitation Over Large Translation and Rotation Ranges in All Directions
Identification and adaptive neural network control of a DC motor system with dead-zone characteristics.
Deep reinforcement learning based neuro-control for a two-dimensional magnetic positioning system
Neural network adaptive control of systems with input saturation
Decoupling Control Design for the Module Suspension Control System in Maglev Train
Composite Hierarchical Antidisturbance Control for Magnetic Bearing System Subject to Multiple External Disturbances
Model Reference Adaptive Control of Permanent Magnet Synchronous Motor
Levitation control design of super-speed Maglev trains
Adaptive neuro-fuzzy controller of switched reluctance motor
Spin stabilized magnetic levitation
Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints
Event-sampled adaptive neural network control of robot manipulators
Position Control of a Permanent Magnet DC Motor by Model Reference Adaptive Control
From PID to L 1 Adaptive Control for Automatic Balancing of a Spacecraft Three-axis Simulator
A New Energy-free Gravity-compensation Adaptive System for Balancing of 4-DOF Robot Manipulators with Variable Payloads
An Adaptive PID Neural Network for Complex Nonlinear System Control
MTPA Trajectory Tracking Control for Interior PMSM Based on Adaptive Parameter Identification
Neural-Network-Based Adaptive Leader-Following Control for Multiagent Systems With Uncertainties
BarrierPoint: Sampled simulation of multi-threaded applications
Medium-Voltage Multilevel Converters—State of the Art, Challenges, and Requirements in Industrial Applications
SKIN: designing aesthetic interactive surfaces
Real-Time PID Control Strategy for Maglev Transportation System via Particle Swarm Optimization
AT PUBLIC UNIVERSITIES : EVIDENCE FROM A SIX-CAMPUS RANDOMIZED TRIAL