Bo Zhao

Orcid: 0000-0002-7684-7342

Affiliations:
  • Beijing Normal University, School of Systems Science, China
  • Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China
  • Chinese Academy of Sciences, Institute of Automation, State Key Laboratory of Management and Control for Complex Systems, Beijing, China


According to our database1, Bo Zhao authored at least 57 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Event-Triggered Robust Adaptive Dynamic Programming for Multiplayer Stackelberg-Nash Games of Uncertain Nonlinear Systems.
IEEE Trans. Cybern., January, 2024

Fault-tolerant tracking control for nonlinear systems with multiplicative actuator faults in view of zero-sum differential games.
Neurocomputing, January, 2024

Event-Triggered Decentralized Integral Sliding Mode Control for Input-Constrained Nonlinear Large-Scale Systems With Actuator Failures.
IEEE Trans. Syst. Man Cybern. Syst., 2024

2023
Event-Triggered Local Control for Nonlinear Interconnected Systems Through Particle Swarm Optimization-Based Adaptive Dynamic Programming.
IEEE Trans. Syst. Man Cybern. Syst., December, 2023

Adaptive Dynamic Programming-Based Cooperative Motion/Force Control for Modular Reconfigurable Manipulators: A Joint Task Assignment Approach.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Fault tolerant control for a class of nonlinear systems with multiple faults using neuro-dynamic programming.
Neurocomputing, October, 2023

An efficient lightweight convolutional neural network for industrial surface defect detection.
Artif. Intell. Rev., September, 2023

Policy Optimization Adaptive Dynamic Programming for Optimal Control of Input-Affine Discrete-Time Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023

Policy gradient adaptive dynamic programming for nonlinear discrete-time zero-sum games with unknown dynamics.
Soft Comput., May, 2023

Adaptive Dynamic Programming-Based Event-Triggered Robust Control for Multiplayer Nonzero-Sum Games With Unknown Dynamics.
IEEE Trans. Cybern., 2023

Event-triggered adaptive dynamic programming for decentralized tracking control of input constrained unknown nonlinear interconnected systems.
Neural Networks, 2023

Hierarchical Decision Problems for Non-Affine Multi-Player Systems.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

2022
Event-Triggered Control of Discrete-Time Zero-Sum Games via Deterministic Policy Gradient Adaptive Dynamic Programming.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Policy Gradient Adaptive Critic Designs for Model-Free Optimal Tracking Control With Experience Replay.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Synergetic learning structure-based neuro-optimal fault tolerant control for unknown nonlinear systems.
Neural Networks, 2022

DMPP: Differentiable multi-pruner and predictor for neural network pruning.
Neural Networks, 2022

CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks.
CoRR, 2022

Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space.
Artif. Intell. Rev., 2022

Particle Swarm optimization-Based Neuro-Dynamic Programming for Nonzero-Sum Games of Multi-Player Nonlinear Systems.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2022

Methodologies of building synergetic learning systems.
Proceedings of the 18th International Conference on Computational Intelligence and Security, 2022

2021
Adaptive Dynamic Programming for Control: A Survey and Recent Advances.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Sliding-Mode Surface-Based Approximate Optimal Control for Uncertain Nonlinear Systems With Asymptotically Stable Critic Structure.
IEEE Trans. Cybern., 2021

Event-triggered adaptive dynamic programming for multi-player zero-sum games with unknown dynamics.
Soft Comput., 2021

Particle swarm optimized neural networks based local tracking control scheme of unknown nonlinear interconnected systems.
Neural Networks, 2021

Observer-based event-triggered control for zero-sum games of input constrained multi-player nonlinear systems.
Neural Networks, 2021

Event-triggered control for input constrained non-affine nonlinear systems based on neuro-dynamic programming.
Neurocomputing, 2021

Integral Reinforcement Learning-Based Optimal Control for Nonzero-Sum Games of Multi-Player Input-Constrained Nonlinear Systems.
Proceedings of the ICRAI 2021: 7th International Conference on Robotics and Artificial Intelligence, Guangzhou, China, November 19, 2021

Kernel-Based Autoencoders for Large-Scale Representation Learning.
Proceedings of the ICRAI 2021: 7th International Conference on Robotics and Artificial Intelligence, Guangzhou, China, November 19, 2021

2020
Reinforcement Learning-Based Optimal Stabilization for Unknown Nonlinear Systems Subject to Inputs With Uncertain Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2020

Event-Triggered Decentralized Tracking Control of Modular Reconfigurable Robots Through Adaptive Dynamic Programming.
IEEE Trans. Ind. Electron., 2020

Adaptive dynamic programming-based decentralised control for large-scale nonlinear systems subject to mismatched interconnections with unknown time-delay.
Int. J. Syst. Sci., 2020

Asymptotically stable critic designs for approximate optimal stabilization of nonlinear systems subject to mismatched external disturbances.
Neurocomputing, 2020

Deterministic policy gradient adaptive dynamic programming for model-free optimal control.
Neurocomputing, 2020

Data-based fault tolerant control for affine nonlinear systems through particle swarm optimized neural networks.
IEEE CAA J. Autom. Sinica, 2020

Fault tolerant tracking control for nonlinear systems with actuator failures through particle swarm optimization-based adaptive dynamic programming.
Appl. Soft Comput., 2020

Boosting and Residual Learning Scheme with Pseudoinverse Learners.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Approximate Optimal Control of Nonlinear Systems with Mismatched Perturbations Based on Asymptotically Stable Critic Neural Network.
Proceedings of the ICCDE 2020: The 6th International Conference on Computing and Data Engineering, 2020

2019
An echo state network based approach to room classification of office buildings.
Neurocomputing, 2019

An Unified View on the Feedforward Neural Network Architecture.
Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019

An Ensemble Model for Error Modeling with Pseudoinverse Learning Algorithm.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

A Solution of Two-Person Zero Sum Differential Games with Incomplete State Information.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Distributed Adaptive Dynamic Programming Algorithm for Office Energy Control with Multiple Batteries.
Proceedings of the International Joint Conference on Neural Networks, 2019

Local Near-Optimal Control for Interconnected Systems with Time-Varying Delays.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
Decentralized Control for Large-Scale Nonlinear Systems With Unknown Mismatched Interconnections via Policy Iteration.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Local Tracking Control for Unknown Interconnected Systems via Neuro-Dynamic Programming.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Observer based adaptive dynamic programming for fault tolerant control of a class of nonlinear systems.
Inf. Sci., 2017

Observer-critic structure-based adaptive dynamic programming for decentralised tracking control of unknown large-scale nonlinear systems.
Int. J. Syst. Sci., 2017

Self-tuned local feedback gain based decentralized fault tolerant control for a class of large-scale nonlinear systems.
Neurocomputing, 2017

Data-based robust near-optimal decentralized stabilization of unknown large-scale systems.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A Generalized Policy Iteration Adaptive Dynamic Programming Algorithm for Optimal Control of Discrete-Time Nonlinear Systems with Actuator Saturation.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Neuro-control of Nonlinear Systems with Unknown Input Constraints.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Adaptive dynamic programming based fault compensation control for nonlinear systems with actuator failures.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Asteroid landing via onboard optimal guidance based on bidirectional extreme learning machine.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Decentralized adaptive neural network sliding mode control for reconfigurable manipulators with data-based modeling.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Decentralized Stabilization for Nonlinear Systems with Unknown Mismatched Interconnections.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2014
Adaptive Neural Network Position/Force Hybrid Control for Constrained Reconfigurable Manipulators.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

2013
Observer based quasi-static deformation compensation control for three-link rigid-flexible manipulator.
Proceedings of the IEEE International Conference on Information and Automation, 2013


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