Ci Chen
Orcid: 0000-0003-0813-5543
According to our database1,
Ci Chen
authored at least 71 papers
between 2009 and 2024.
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Bibliography
2024
Policy Iteration-Based Learning Design for Linear Continuous-Time Systems Under Initial Stabilizing OPFB Policy.
IEEE Trans. Cybern., November, 2024
Online Policy Iteration Algorithms for Linear Continuous-Time H-Infinity Regulation With Completely Unknown Dynamics.
IEEE Trans Autom. Sci. Eng., October, 2024
Adaptive Output Synchronization With Designated Convergence Rate of Multiagent Systems Based on Off-Policy Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Syst., August, 2024
Adaptive Fuzzy Optimal Control for Interconnected Switched Nonlinear Systems With Dwell Time.
IEEE Trans. Fuzzy Syst., June, 2024
Adaptive Optimal Control of Unknown Nonlinear Systems via Homotopy-Based Policy Iteration.
IEEE Trans. Autom. Control., May, 2024
J. Syst. Sci. Complex., February, 2024
Dictionary Learning-Structured Reinforcement Learning With Adaptive-Sparsity Regularizer.
IEEE Trans. Aerosp. Electron. Syst., 2024
An integration planning and control method of intelligent vehicles based on the iterative linear quadratic regulator.
J. Frankl. Inst., 2024
Event-Triggered Fractional PID-Based Load Frequency Control in Islanded Microgrids Under Cloud-Edge Collaborative Framework.
J. Circuits Syst. Comput., 2024
RDT-RRT: Real-time double-tree rapidly-exploring random tree path planning for autonomous vehicles.
Expert Syst. Appl., 2024
Toward Mixture-of-Experts Enabled Trustworthy Semantic Communication for 6G Networks.
CoRR, 2024
Pretraining-finetuning Framework for Efficient Co-design: A Case Study on Quadruped Robot Parkour.
CoRR, 2024
Specified convergence rate guaranteed output tracking of discrete-time systems via reinforcement learning.
Autom., 2024
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
2023
Adaptive Optimal Control of Linear Discrete-Time Networked Control Systems with Two-Channel Stochastic Dropouts.
SIAM J. Control. Optim., October, 2023
Adv. Intell. Syst., August, 2023
Adaptive Distributed Synchronization of Multiple Vehicles With Actuator Nonlinearities: Design and Experimentation.
IEEE Trans. Ind. Electron., July, 2023
Robust Output Regulation and Reinforcement Learning-Based Output Tracking Design for Unknown Linear Discrete-Time Systems.
IEEE Trans. Autom. Control., 2023
Distributed output data-driven optimal robust synchronization of heterogeneous multi-agent systems.
Autom., 2023
C<sup>2</sup>: Co-design of Robots via Concurrent-Network Coupling Online and Offline Reinforcement Learning.
IROS, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
2022
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Cybern., 2022
IEEE Trans. Cybern., 2022
Neural Comput. Appl., 2022
C^2: Co-design of Robots via Concurrent Networks Coupling Online and Offline Reinforcement Learning.
CoRR, 2022
Adaptive optimal output tracking of continuous-time systems via output-feedback-based reinforcement learning.
Autom., 2022
Homotopic policy iteration-based learning design for unknown linear continuous-time systems.
Autom., 2022
Event-triggered coordination of multi-agent systems via a Lyapunov-based approach for leaderless consensus.
Autom., 2022
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2022
2021
IEEE Trans. Smart Grid, 2021
Adaptive Formation Control of Networked Robotic Systems With Bearing-Only Measurements.
IEEE Trans. Cybern., 2021
Adaptive distributed synchronization of heterogeneous multi-Agent systems over directed graphs with time-Varying edge weights.
J. Frankl. Inst., 2021
Inf. Sci., 2021
2020
Neurocomputing, 2020
Adaptive synchronization of multi-agent systems with resilience to communication link faults.
Autom., 2020
Off-policy learning for adaptive optimal output synchronization of heterogeneous multi-agent systems.
Autom., 2020
Motion Planning for Heterogeneous Unmanned Systems under Partial Observation from UAV.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
2019
Adaptive Compensation for Nonlinear Time-Varying Multiagent Systems With Actuator Failures and Unknown Control Directions.
IEEE Trans. Cybern., 2019
Fully Distributed Resilience for Adaptive Exponential Synchronization of Heterogeneous Multiagent Systems Against Actuator Faults.
IEEE Trans. Autom. Control., 2019
Reinforcement Learning-Based Adaptive Optimal Exponential Tracking Control of Linear Systems With Unknown Dynamics.
IEEE Trans. Autom. Control., 2019
Resilient adaptive and H∞ controls of multi-agent systems under sensor and actuator faults.
Autom., 2019
Optimal Multi-Objective Burn-In Policy Based on Time-Transformed Wiener Degradation Process.
IEEE Access, 2019
IEEE Access, 2019
Optimal Burn-in Strategy for High Reliable Products Using Convolutional Neural Network.
IEEE Access, 2019
2018
Adaptive Asymptotic Neural Network Control of Nonlinear Systems With Unknown Actuator Quantization.
IEEE Trans. Neural Networks Learn. Syst., 2018
Asymptotic adaptive control of nonlinear systems with elimination of overparametrization in a Nussbaum-like design.
Autom., 2018
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018
2017
Coordinated Motion/Force Control of Multiarm Robot With Unknown Sensor Nonlinearity and Manipulated Object's Uncertainty.
IEEE Trans. Syst. Man Cybern. Syst., 2017
IEEE Trans. Fuzzy Syst., 2017
Adaptive Fuzzy Asymptotic Control of MIMO Systems With Unknown Input Coefficients Via a Robust Nussbaum Gain-Based Approach.
IEEE Trans. Fuzzy Syst., 2017
Asymptotic Fuzzy Neural Network Control for Pure-Feedback Stochastic Systems Based on a Semi-Nussbaum Function Technique.
IEEE Trans. Cybern., 2017
Adaptive Consensus of Nonlinear Multi-Agent Systems With Non-Identical Partially Unknown Control Directions and Bounded Modelling Errors.
IEEE Trans. Autom. Control., 2017
Direct adaptive compensation for actuator failures and dead-Zone constraints in tracking control of uncertain nonlinear systems.
Inf. Sci., 2017
Adaptive neural control of MIMO stochastic systems with unknown high-frequency gains.
Inf. Sci., 2017
Adaptive asymptotic control of multivariable systems based on a one-parameter estimation approach.
Autom., 2017
Proceedings of the 4th International Conference on Systems and Informatics, 2017
2016
Actuator Backlash Compensation and Accurate Parameter Estimation for Active Vibration Isolation System.
IEEE Trans. Ind. Electron., 2016
Saturated Nussbaum Function Based Approach for Robotic Systems With Unknown Actuator Dynamics.
IEEE Trans. Cybern., 2016
Modeling and Adaptive Compensation of Unknown Multiple Frequency Vibrations for the Stabilization and Control of an Active Isolation System.
IEEE Trans. Control. Syst. Technol., 2016
A generalized-exponential decomposition method for the analysis of inhomogeneous assembly/disassembly systems with unreliable machines and finite buffers.
J. Intell. Manuf., 2016
2015
Decentralized Robust Fuzzy Adaptive Control of Humanoid Robot Manipulation With Unknown Actuator Backlash.
IEEE Trans. Fuzzy Syst., 2015
Adaptive Neural Control for Dual-Arm Coordination of Humanoid Robot With Unknown Nonlinearities in Output Mechanism.
IEEE Trans. Cybern., 2015
A reinforcement learning based approach for a multiple-load carrier scheduling problem.
J. Intell. Manuf., 2015
Coordinated fuzzy control of robotic arms with actuator nonlinearities and motion constraints.
Inf. Sci., 2015
2013
Int. J. Distributed Sens. Networks, 2013
2011
An Intrusion-Detection Model Based on Fuzzy Class-Association-Rule Mining Using Genetic Network Programming.
IEEE Trans. Syst. Man Cybern. Part C, 2011
2010
Proceedings of the Sixth International Conference on Natural Computation, 2010
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010
2009
Network Intrusion Detection using Fuzzy Class Association Rule Mining Based on Genetic Network Programming.
Proceedings of the IEEE International Conference on Systems, 2009