Extreme-learning-machine-based FNTSM control strategy for electronic throttle
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Extreme-learning-machine-based FNTSM control strategy for electronic throttle
Authors
Keywords
Electronic throttle, Extreme learning machine, Fast nonsingular terminal sliding mode, Lumped uncertainty bound
Journal
NEURAL COMPUTING & APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-08-30
DOI
10.1007/s00521-019-04446-9
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Nested adaptive super-twisting sliding mode control design for a vehicle steer-by-wire system
- (2019) Zhe Sun et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Continuous Fast Nonsingular Terminal Sliding Mode Control of Automotive Electronic Throttle Systems Using Finite-Time Exact Observer
- (2018) Hai Wang et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Adaptive Integral Terminal Sliding Mode Control for Automobile Electronic Throttle via an Uncertainty Observer and Experimental Validation
- (2018) Hai Wang et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Neural network-based fuzzy inference system for speed control of heavy duty vehicles with electronic throttle control system
- (2016) İkbal Eski et al. NEURAL COMPUTING & APPLICATIONS
- Robust adaptive position control of automotive electronic throttle valve using PID-type sliding mode technique
- (2016) Hai Wang et al. NONLINEAR DYNAMICS
- LPV Modeling and Mixed Constrained $H_2}/{H_\infty$ Control of an Electronic Throttle
- (2015) Shupeng Zhang et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
- An Adaptive Servo Control Strategy for Automotive Electronic Throttle and Experimental Validation
- (2014) Xiaohong Jiao et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Robust Discrete-Time MRAC With Minimal Controller Synthesis of an Electronic Throttle Body
- (2013) Umberto Montanaro et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
- ELM-based adaptive backstepping neural control for a class of uncertain MIMO nonlinear systems with predefined tracking accuracy
- (2013) Yasser Elkoteshy et al. INTERNATIONAL JOURNAL OF CONTROL
- Discrete-time hypersonic flight control based on extreme learning machine
- (2013) Bin Xu et al. NEUROCOMPUTING
- Direct adaptive neural control of nonlinear systems with extreme learning machine
- (2012) Hai-Jun Rong et al. NEURAL COMPUTING & APPLICATIONS
- Design and Validation of a Gain-Scheduled Controller for the Electronic Throttle Body in Ride-by-Wire Racing Motorcycles
- (2010) Matteo Corno et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- Nonsingular fast terminal sliding-mode control for nonlinear dynamical systems
- (2010) Liang Yang et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- RBF Networks-Based Adaptive Inverse Model Control System for Electronic Throttle
- (2009) Yuan Xiaofang et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- Robust feedback linearization using an adaptive PD regulator for a sensorless control of a throttle valve
- (2009) Paolo Mercorelli MECHATRONICS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started