Improving model reference control performance using model-free VRFT and Q-learning
暂无分享,去创建一个
[1] Radu-Emil Precup,et al. Model-free constrained data-driven iterative reference input tuning algorithm with experimental validation , 2016, Int. J. Gen. Syst..
[2] Michel Fliess,et al. On ramp metering: towards a better understanding of ALINEA via model-free control , 2017, Int. J. Control.
[3] Sergio M. Savaresi,et al. Direct nonlinear control design: the virtual reference feedback tuning (VRFT) approach , 2006, IEEE Transactions on Automatic Control.
[4] Radu-Emil Precup,et al. Data-driven virtual reference feedback tuning and reinforcement Q-learning for model-free position control of an aerodynamic system , 2016, 2016 24th Mediterranean Conference on Control and Automation (MED).
[5] Peter Dayan,et al. Q-learning , 1992, Machine Learning.
[6] Sergio M. Savaresi,et al. Data-driven control design for neuroprotheses: a virtual reference feedback tuning (VRFT) approach , 2004, IEEE Transactions on Control Systems Technology.
[7] Frank L. Lewis,et al. Reinforcement Learning for Partially Observable Dynamic Processes: Adaptive Dynamic Programming Using Measured Output Data , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[8] Haibo He,et al. Model-Free Dual Heuristic Dynamic Programming , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[9] Steven X. Ding,et al. Data-driven design of two-degree-of-freedom controllers using reinforcement learning techniques , 2015 .
[10] Data-driven control based on simultaneous perturbation stochastic approximation with adaptive weighted gradient estimation , 2016 .
[11] Radu-Emil Precup,et al. Optimal motion prediction using a primitive-based model-free iterative control approach for crane systems , 2015, 2015 IEEE International Conference on Industrial Technology (ICIT).
[12] Paul J. Werbos,et al. Approximate dynamic programming for real-time control and neural modeling , 1992 .
[13] Radu-Emil Precup,et al. Three-level hierarchical model-free learning approach to trajectory tracking control , 2016, Eng. Appl. Artif. Intell..
[14] Donald A. Sofge,et al. Handbook of Intelligent Control: Neural, Fuzzy, and Adaptive Approaches , 1992 .
[15] Martin A. Riedmiller,et al. Reinforcement learning in feedback control , 2011, Machine Learning.
[16] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[17] F. Lewis,et al. Reinforcement Learning and Feedback Control: Using Natural Decision Methods to Design Optimal Adaptive Controllers , 2012, IEEE Control Systems.
[18] Haibo He,et al. Data-driven partially observable dynamic processes using adaptive dynamic programming , 2014, 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).
[19] Tassiano Neuhaus,et al. Tuning Nonlinear Controllers with the Virtual Reference Approach , 2014 .
[20] Guangfu Ma,et al. Fault-tolerant control of linear multivariable controllers using iterative feedback tuning , 2015 .
[21] Marco Lovera,et al. Data-driven attitude control law design for a variable-pitch quadrotor , 2016, 2016 American Control Conference (ACC).
[22] Derong Liu,et al. Data-driven virtual reference controller design for high-order nonlinear systems via neural network , 2015, 2015 International Joint Conference on Neural Networks (IJCNN).
[23] Sergio M. Savaresi,et al. Direct learning of LPV controllers from data , 2016, Autom..
[24] Derong Liu,et al. Data-Based Controllability and Observability Analysis of Linear Discrete-Time Systems , 2011, IEEE Transactions on Neural Networks.
[25] Diego Eckhard,et al. Unbiased MIMO VRFT with application to process control , 2016 .
[26] Yang Liu,et al. ADP based optimal tracking control for a class of linear discrete-time system with multiple delays , 2016, Journal of the Franklin Institute.
[27] Zhongsheng Hou,et al. Attitude adjustment of quadrotor aircraft platform via a data-driven model free adaptive control cascaded with intelligent PID , 2016, 2016 Chinese Control and Decision Conference (CCDC).
[28] Masayoshi Tomizuka,et al. Iterative design of feedback and feedforward controller with input saturation constraint for building temperature control , 2016, 2016 American Control Conference (ACC).
[29] Tingwen Huang,et al. Model-Free Optimal Tracking Control via Critic-Only Q-Learning , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[30] Radu-Emil Precup,et al. Virtual Reference Feedback Tuning for position control of a twin rotor aerodynamic system , 2016, 2016 IEEE 11th International Symposium on Applied Computational Intelligence and Informatics (SACI).
[31] Sergio M. Savaresi,et al. Virtual reference feedback tuning: a direct method for the design of feedback controllers , 2002, Autom..
[32] Huaguang Zhang,et al. Adaptive Dynamic Programming: An Introduction , 2009, IEEE Computational Intelligence Magazine.