Peihao Du

Orcid: 0000-0001-5570-6762

Affiliations:
  • Bohai University, Jinzhou, Liaoning, China


According to our database1, Peihao Du authored at least 15 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Fault Effect Identification-Based Adaptive Performance Self-Recovery Control Strategy for Wastewater Treatment Process.
IEEE Trans. Ind. Informatics, March, 2024

Distributed secure consensus for multiagent systems based on removing intra-cluster coupling restrictions and its application to energy systems.
Inf. Sci., January, 2024

2023
Self-Healing Control for Wastewater Treatment Process Based on Variable-Gain State Observer.
IEEE Trans. Ind. Informatics, October, 2023

Residual-triggered threshold decision and performance self-healing control for wastewater treatment process.
Inf. Sci., September, 2023

Data-Driven Fault Compensation Tracking Control for Coupled Wastewater Treatment Process.
IEEE CAA J. Autom. Sinica, 2023

2021
Adaptive Fixed-Time Control of Error-Constrained Pure-Feedback Interconnected Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Neural-Based Decentralized Adaptive Finite-Time Control for Nonlinear Large-Scale Systems With Time-Varying Output Constraints.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Singularity-Free Fixed-Time Fuzzy Control for Robotic Systems With User-Defined Performance.
IEEE Trans. Fuzzy Syst., 2021

Nonsingular Finite-Time Event-Triggered Fuzzy Control for Large-Scale Nonlinear Systems.
IEEE Trans. Fuzzy Syst., 2021

2020
Adaptive control for non-affine nonlinear systems with input saturation and output dead zone.
Appl. Math. Comput., 2020

2019
Adaptive neural network control for a class of discrete-time nonlinear interconnected systems with unknown dead-zone.
J. Frankl. Inst., 2019

Observer-based synergetic adaptive neural network control for a class of discrete-time nonlinear systems with dead-zone.
Int. J. Syst. Sci., 2019

Observer-based adaptive neural optimal control for discrete-time systems in nonstrict-feedback form.
Neurocomputing, 2019

Decentralized finite-time neural control for time-varying state constrained nonlinear interconnected systems in pure-feedback form.
Neurocomputing, 2019

Observer-Based Adaptive Fuzzy Control for Time-Varying State Constrained Strict-Feedback Nonlinear Systems with Dead-Zone.
Int. J. Fuzzy Syst., 2019


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