Tianping Zhang

Orcid: 0000-0002-7796-7004

According to our database1, Tianping Zhang authored at least 66 papers between 2004 and 2024.

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

Timeline

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Bibliography

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

2023
Finite-Time Stability Control of Uncertain Nonlinear Systems With Self-Limiting Control Terms.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Infinity augmented state Kalman filter and its application in unknown input and state estimation.
J. Frankl. Inst., November, 2023

Adaptive neural optimal tracking control of stochastic nonstrict-feedback nonlinear systems with output constraints.
J. Frankl. Inst., November, 2023

Distributed adaptive cooperative control via command filters for multi-agent systems including input unmodeled dynamics and sensor faults.
Appl. Math. Comput., November, 2023

Deep learning technology of computer network security detection based on artificial intelligence.
Comput. Electr. Eng., September, 2023

Generative Table Pre-training Empowers Models for Tabular Prediction.
CoRR, 2023

Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

OpenFE: Automated Feature Generation with Expert-level Performance.
Proceedings of the International Conference on Machine Learning, 2023

Generative Table Pre-training Empowers Models for Tabular Prediction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Adaptive Control of Uncertain Nonlinear Systems With Discontinuous Input and Time-Varying Input Delay.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Event-based state and fault estimation for stochastic nonlinear system with Markov packet dropout.
J. Frankl. Inst., 2022

Command filter based adaptive DSC of uncertain stochastic nonlinear systems with input delay and state constraints.
J. Frankl. Inst., 2022

Command filter-based adaptive fault-tolerant tracking control for uncertain non-strict feedback multi-agent systems with or without state constraints.
J. Frankl. Inst., 2022

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

OpenFE: Automated Feature Generation beyond Expert-level Performance.
CoRR, 2022

Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures.
CoRR, 2022

Finite-time adaptive neural command filtered control for non-strict feedback uncertain multi-agent systems including prescribed performance and input nonlinearities.
Appl. Math. Comput., 2022

Event-triggered adaptive neural command-filter-based dynamic surface control for state constrained nonlinear systems.
Appl. Math. Comput., 2022

2021
Adaptive Quantized Control of Output Feedback Nonlinear Systems With Input Unmodeled Dynamics Based on Backstepping and Small-Gain Method.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Motion Attitude Recognition and Behavior Prediction Algorithm Based on Wireless Sensor Network.
Mob. Inf. Syst., 2021

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

2020
Adaptive quantized DSC of output-constrained uncertain nonlinear systems with quantized input and input unmodeled dynamics.
J. Frankl. Inst., 2020

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

On the equivalence between the unbiased minimum-variance estimation and the infinity augmented Kalman filter.
Int. J. Control, 2020

Finite Time Adaptive Neural Dynamic Surface Control of Nonstrict Feedback Nonlinear Systems Including Dead-Zone and Full State Restrictions.
IEEE Access, 2020

Adaptive Neural Event-Triggered Control of MIMO Pure-Feedback Systems With Asymmetric Output Constraints and Unmodeled Dynamics.
IEEE Access, 2020

2019
Adaptive neural dynamic surface control for full state constrained stochastic nonlinear systems with unmodeled dynamics.
J. Frankl. Inst., 2019

Adaptive neural dynamic surface control of MIMO pure-feedback nonlinear systems with output constraints.
Neurocomputing, 2019

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

Adaptive quantized output feedback DSC of uncertain systems with output constraints and unmodeled dynamics based on reduced-order K-filters.
Neurocomputing, 2018

Reduced-order K-filters based decentralized fuzzy adaptive control of stochastic large-scale nonlinear systems with stochastic 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
The Mean-Square Stability Probability of H<sub>∞</sub> Control of Continuous Markovian Jump Systems.
IEEE Trans. Autom. Control., 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

Analysis of the Intelligent Call System Based on the Emergency Rescue in China.
Proceedings of the Internet and Distributed Computing Systems, 2016

2015
Decentralized adaptive output feedback dynamic surface control of interconnected nonlinear systems with unmodeled dynamics.
J. Frankl. Inst., 2015

Decentralized adaptive fuzzy output feedback control of stochastic nonlinear large-scale systems with dynamic uncertainties.
Inf. Sci., 2015

A novel adaptive synchronization control of a class of master-slave large-scale systems with unknown channel time-delay.
Commun. Nonlinear Sci. Numer. Simul., 2015

2014
Novel Neural Control for a Class of Uncertain Pure-Feedback Systems.
IEEE Trans. Neural Networks Learn. Syst., 2014

Adaptive neural control of stochastic nonlinear systems with unmodeled dynamics and time-varying state delays.
J. Frankl. Inst., 2014

Adaptive output feedback dynamic surface control of nonlinear systems with unmodeled dynamics and unknown high-frequency gain sign.
Neurocomputing, 2014

2013
Adaptive neural tracking control of pure-feedback nonlinear systems with unknown gain signs and unmodeled dynamics.
Neurocomputing, 2013

2012
Adaptive neural control of non-affine pure-feedback non-linear systems with input nonlinearity and perturbed uncertainties.
Int. J. Syst. Sci., 2012

New results on adaptive neural control of a class of nonlinear systems with uncertain input delay.
Neurocomputing, 2012

Fuzzy adaptive control of delayed high order nonlinear systems.
Int. J. Autom. Comput., 2012

Robust adaptive control for a class of switched nonlinear systems in pure-feedback form.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

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

2010
Adaptive Fuzzy Control of Nonlinear Systems in Pure Feedback Form Based on Input-to-State Stability.
IEEE Trans. Fuzzy Syst., 2010

Adaptive tracking control for input delayed MIMO nonlinear systems.
Neurocomputing, 2010

2009
Adaptive Neural Network Tracking Control of MIMO Nonlinear Systems With Unknown Dead Zones and Control Directions.
IEEE Trans. Neural Networks, 2009

Adaptive neural control for a class of output feedback time delay nonlinear systems.
Neurocomputing, 2009

Adaptive variable structure control of MIMO nonlinear systems with time-varying delays and unknown dead-zones.
Int. J. Autom. Comput., 2009

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

Synchronization Behavior Analysis for Coupled Lorenz Chaos Dynamic Systems via Complex Networks.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2009

2008
Adaptive RBF neural-networks control for a class of time-delay nonlinear systems.
Neurocomputing, 2008

2007
Robust Neural Networks Control for Uncertain Systems with Time-Varying Delays and Sector Bounded Perturbations.
Proceedings of the Advances in Neural Networks, 2007

Adaptive Variable Structure Control of SISO Nonlinear Systems with Time-Varying Delays and Unknown Dead-zone Input.
Proceedings of the American Control Conference, 2007

Direct Adaptive NN Control of Nonlinear Systems in Strict-Feedback Form Using Dynamic Surface Control.
Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 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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