Adaptive neural control of a magnetic levitation system

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Adaptive neural control of a magnetic levitation system

Chapter 1. Introduction; Chapter 2. Literature review; Chapter 3. Dynamics analysis of meglev system-model;...

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Sprog:	eng
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Adaptive neural control for a magnetic levitation system

Design od neural sliding mode control algorithm for magnetic levitation system

Sliding-mode-pid controller design for magnetic levitation system

A new model of magnetic force in magnetic levitation systems /
af: Lee, Y. S.

Designing a tracking controller adapting to the fuzzy - neural network for the 2-DoF helicopter system

Adaptive control of sliding table position using feedback linearization neural network

Levitating trains and kamikaze genes :
Udgivet: (1990)

Levitating trains and kamikaze genes :
af: Brennan, Richard P.
Udgivet: (1990)

Position control for interior permanent magnet synchronous motors using an adaptive integral binary observer /
af: Dang, Hyoung-Seok.

Adaptive Backstepping Control of Uncertain Systems
af: Zhou, Jing, et al.
Udgivet: (2020)

ENSURE SUSTAINABLE FOR ADAPTIVE CONTROL SYSTEM
af: Nguyễn, Văn Vỵ, et al.
Udgivet: (2023)

Adaptive Voltage Control in Power Systems
af: Fusco, Giuseppe, et al.
Udgivet: (2020)

Neural networks for modelling and control of dynamic systems: A practitioner's handbook
af: M. Norgaard ... [et al.]
Udgivet: (2002)

Neural networks for modelling and control of dynamic systems : a practitioner''s handbook
Udgivet: (2003)

Robust adaptive control for a class of nonlinear systems with complex uncertainties /

Adaptive fuzzy backstepping control for a dynamic positioning system of ships

Adaptive control of systems with actuator and sensor nonlinearities
af: Tao, Gang
Udgivet: (1996)

Adaptive Control of Bio-Inspired Manufacturing Systems
af: Tang, Dunbing, et al.
Udgivet: (2020)

ADAPTIVE CONTROL ADJUSTMENT SYSTEM APPLY TO FMS
af: Lê, Văn Cương
Udgivet: (2023)

Intelligent Optimal Adaptive Control for Mechatronic Systems
af: Szuster, Marcin, et al.
Udgivet: (2020)

Neural network control of robot manipulators and nonlinear systems
af: Lewis, Frank L
Udgivet: (1999)

Affinity two-phase partitioning in acoustically levitated drops /

Structural Studies of Liquids and Glasses Using Aerodynamic Levitation
af: Farmer, Thomas
Udgivet: (2016)

Adaptive-Robust Control with Limited Knowledge on Systems Dynamics
af: Roy, Spandan, et al.
Udgivet: (2020)

CONTROL OF A PERMANENT-MAGNET SYNCHRONOUS GENERATOR WIND TURBINE SYSTEM DURING GRID FAULT
af: Van, Tan Luong, et al.
Udgivet: (2023)

Robust and adaptive techniques in self-organizing neural networks /

A first course in fuzzy and neural control
Udgivet: (2003)

Design a Neural Controller to Control Rescue Quadcopter in Hang Status
af: Nguyen, Hoang Mai, et al.
Udgivet: (2021)

Screening of nucleation conditions using levitated drops for protein crystallization /

Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems
af: Wang, Ding, et al.
Udgivet: (2019)

Adaptive inverse control :
af: Widrow, Bernard
Udgivet: (2008)

Design of adaptive control for closed-loop communication time delay compensation in networked control systems

RESEARCH AND DESIGN OF ADAPTIVE FILTER FOR ACTIVE NOISE CONTROL SYSTEMS (ANC)
af: Quách, Đức Cường, et al.
Udgivet: (2023)

ADEX Optimized Adaptive Controllers and Systems: From Research to Industrial Practice
af: Martín-Sánchez, Juan M, et al.
Udgivet: (2015)

CONTROL OF ABSORPTION AND DISPERSION PROPERTIES IN A VEE-TYPE DEGENERATED ATOMIC SYSTEM UNDER AN EXTERNAL MAGNETIC FIELD
af: Hoang, Minh Dong, et al.
Udgivet: (2023)

Lyapunov-based design of a model reference adaptive control for half-car active suspension systems
Udgivet: (2025)

Model-Reference Adaptive Control
af: Nguyen, Nhan T.
Udgivet: (2020)

Nonlinear and Adaptive Control with Applications
af: Astolfi, Alessandro, et al.
Udgivet: (2020)

Neural Approximations for Optimal Control and Decision
af: Zoppoli, Riccardo, et al.
Udgivet: (2020)

Decentralized Neural Control: Application to Robotics
af: Garcia-Hernandez, Ramon, et al.
Udgivet: (2020)