Haibo Gu

Orcid: 0000-0002-1972-4194

According to our database1, Haibo Gu authored at least 26 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
Distributed State Estimation for Sparse Stochastic Systems Based on Compressed Sensing.
IEEE Trans. Circuits Syst. II Express Briefs, August, 2024

Utility Decoupling for Distributed Nash Equilibrium Seeking in Weakly Acyclic Games.
IEEE Trans. Syst. Man Cybern. Syst., July, 2024

Stackelberg and Nash Equilibrium Computation in Non-Convex Leader-Follower Network Aggregative Games.
IEEE Trans. Circuits Syst. I Regul. Pap., February, 2024

Optimal Containment Control of Multiple Quadrotors via Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Distributed Nash Equilibrium Seeking for Aggregative Games With Quantization Constraints.
IEEE Trans. Circuits Syst. I Regul. Pap., 2023

2022
Consensus of Stochastic Dynamical Multiagent Systems in Directed Networks via PI Protocols.
IEEE Trans. Neural Networks Learn. Syst., 2022

Observer-Based Event-Triggered Formation Control of Multi-Agent Systems With Switching Directed Topologies.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Optimizing Constrained Guidance Policy With Minimum Overload Regularization.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Robust Hierarchical Pinning Control for Nonlinear Heterogeneous Multiagent System With Uncertainties and Disturbances.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

2021
A Novel Synchronization Protocol for Nonlinear Stochastic Dynamical Networked Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2021

PID Control for Synchronization of Complex Dynamical Networks With Directed Topologies.
IEEE Trans. Cybern., 2021

2020
Semiglobal Consensus of a Class of Heterogeneous Multi-Agent Systems With Saturation.
IEEE Trans. Neural Networks Learn. Syst., 2020

Adaptive PI Control for Synchronization of Complex Networks With Stochastic Coupling and Nonlinear Dynamics.
IEEE Trans. Circuits Syst., 2020

Leader-Following Consensus of Stochastic Dynamical Multi-Agent Systems Under PI Control.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

2019
Finite-time adaptive stability of gene regulatory networks.
Neurocomputing, 2019

Global synchronization under PI/PD controllers in general complex networks with time-delay.
Neurocomputing, 2019

Diagnostic Model of Coronary Microvascular Disease Combined With Full Convolution Deep Network With Balanced Cross-Entropy Cost Function.
IEEE Access, 2019

Synchronization Via PID Control on Complex Directed Network with Delayed Nodes.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

2018
Consensus tracking control for sampled-data second-order multi-agent systems with arbitrary weights under fixed communication topology.
Int. J. Syst. Sci., 2018

2017
Impact of node dynamical parameters on structures identification of complex networks based on the Lasso method.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Synchronization of complex network with delayed nodes via proportional-derivative control.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

2015
Existence of mild solution for evolution equation with Hilfer fractional derivative.
Appl. Math. Comput., 2015

2011
Mean square exponential stability in high-order stochastic impulsive BAM neural networks with time-varying delays.
Neurocomputing, 2011

2010
Existence and global exponential stability of equilibrium of competitive neural networks with different time scales and multiple delays.
J. Frankl. Inst., 2010

2009
Adaptive synchronization for competitive neural networks with different time scales and stochastic perturbation.
Neurocomputing, 2009

2008
Existence and globally exponential stability of periodic solution of BAM neural networks with impulses and recent-history distributed delays.
Neurocomputing, 2008


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