Yang Yi

Orcid: 0000-0003-0926-4523

Affiliations:
  • Yangzhou University, Department of Automation, Yangzhou, China
  • Southeast University, School of Automation, Nanjing, China


According to our database1, Yang Yi authored at least 41 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Two-Stage OD Flow Prediction for Emergency in Urban Rail Transit.
IEEE Trans. Intell. Transp. Syst., January, 2024

Decentralized finite-time adaptive neural FTC with unknown powers and input constraints.
Inf. Sci., January, 2024

2023
Fixed-Time Control of Asymmetric Output-Constrained Nonlinear Systems and Its Application to Boiler-Turbine Unit.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023

Iterative Learning Control of Constrained Systems With Varying Trial Lengths Under Alignment Condition.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

A New Alternating Predictive Observer Approach for Higher Bandwidth Control of Dual-Rate Dynamic Systems.
IEEE Trans. Circuits Syst. II Express Briefs, July, 2023

Extended Disturbance-Observer-Based Data-Driven Control of Networked Nonlinear Systems With Event-Triggered Output.
IEEE Trans. Syst. Man Cybern. Syst., May, 2023

Anti-Disturbance Tracking Control for a Class of PMSM Driven-Based Flexible Manipulator Systems With Input Saturation and Angular Velocity Constraint.
IEEE Access, 2023

2022
Adaptive Anti-Disturbance Control for Systems With Saturating Input via Dynamic Neural Network Disturbance Modeling.
IEEE Trans. Cybern., 2022

Composite Control of Linear Systems With Event-Triggered Inputs and Outputs.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Finite-time adaptive neural command filtered control for pure-feedback time-varying constrained nonlinear systems with actuator faults.
Neurocomputing, 2022

Event-triggered anti-disturbance tracking control for semi-Markovian jump systems with exogenous disturbances and input saturation.
Appl. Math. Comput., 2022

2021
Adaptive cooperative dynamic surface control of non-strict feedback multi-agent systems with input dead-zones and actuator failures.
Neurocomputing, 2021

Event-Triggered Integral Sliding Mode Anti-Disturbance Control for Nonlinear Systems Via T-S Disturbance Modeling.
IEEE Access, 2021

Observer-Based Event-Triggered Fault-Tolerant Dynamical Tracking Control for Systems with Unknown Faults.
Proceedings of the 2021 International Conference on Security, 2021

Based on Event-Triggered Anti-disturbance Tracking Control for Hypersonic Flight Vehicles with T-S Disturbance Modeling.
Proceedings of the CCRIS 2021: 2nd International Conference on Control, 2021

2020
Adaptive neural optimal control of uncertain nonlinear systems with output constraints.
Neurocomputing, 2020

2018
Sufficient Condition for the Existence of the Compact Set in the RBF Neural Network Control.
IEEE Trans. Neural Networks Learn. Syst., 2018

Adaptive neural control of constrained strict-feedback nonlinear systems with input unmodeled dynamics.
Neurocomputing, 2018

2017
Adaptive Neural Dynamic Surface Control of Pure-Feedback Nonlinear Systems With Full State Constraints and Dynamic Uncertainties.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Adaptive control of output feedback nonlinear systems with unmodeled dynamics and output constraint.
J. Frankl. Inst., 2017

Adaptive neural dynamic surface control of strict-feedback nonlinear systems with full state constraints and unmodeled dynamics.
Autom., 2017

2016
DOB Fuzzy Controller Design for Non-Gaussian Stochastic Distribution Systems Using Two-Step Fuzzy Identification.
IEEE Trans. Fuzzy Syst., 2016

The Mean-Square Stability Probability of H<sub>∞</sub> Control of Continuous Markovian Jump Systems.
IEEE Trans. Autom. Control., 2016

Decentralized PI tracking control for non-Gaussian large-scale interconnected distribution systems.
J. Frankl. Inst., 2016

Adaptive output feedback control of nonlinear systems with prescribed performance and MT-filters.
Neurocomputing, 2016

Adaptive prescribed performance control of output feedback systems including input unmodeled dynamics.
Neurocomputing, 2016

Anti-disturbance tracking control for systems with nonlinear disturbances using T-S fuzzy modeling.
Neurocomputing, 2016

Sliding mode control of MIMO Markovian jump systems.
Autom., 2016

Finite-time control of interconnected impulsive switched systems with time-varying delay.
Appl. Math. Comput., 2016

Terminal sliding mode control of Markovian jumping manipulator systems.
Proceedings of the IEEE International Conference on Industrial Technology, 2016

2014
Anti-disturbance fault diagnosis for non-Gaussian stochastic distribution systems with multiple disturbances.
Neurocomputing, 2014

2013
Improved Results on Statistic Information Control With a Dynamic Neural Network Identifier.
IEEE Trans. Circuits Syst. II Express Briefs, 2013

Probabilistic tracking control for non-Gaussian stochastic process using novel iterative learning algorithms.
Int. J. Syst. Sci., 2013

2012
PDF shaping control for non-Gaussian stochastic distribution systems with time-delay.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

2009
Adaptive Statistic Tracking Control Based on Two-Step Neural Networks With Time Delays.
IEEE Trans. Neural Networks, 2009

Constrained PI Tracking Control for Output Probability Distributions Based on Two-Step Neural Networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2009

Constrained discrete-time PI controller design for output PDFs of stochastic systems with time delays.
Int. J. Syst. Sci., 2009

Multi-objective PID control for non-Gaussian stochastic distribution system based on two-step intelligent models.
Sci. China Ser. F Inf. Sci., 2009

2008
Delay-dependent fault detection and diagnosis using B-spline neural networks and nonlinear filters for time-delay stochastic systems.
Neural Comput. Appl., 2008

2007
Adaptive Tracking Control for the Output PDFs Based on Dynamic Neural Networks.
Proceedings of the Advances in Neural Networks, 2007

2004
Direct adaptive control for a class of nonlinear systems using multilayer neural networks.
Proceedings of the 8th International Conference on Control, 2004


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