Optimal Control of Switching Systems via Embedding into Continuous Optimal Control Problem

[1]  Frank L. Lewis,et al.  Generalized Policy Iteration for continuous-time systems , 2009, 2009 International Joint Conference on Neural Networks.

[2]  Frank L. Lewis,et al.  Model-free Q-learning designs for linear discrete-time zero-sum games with application to H-infinity control , 2007, Autom..

[3]  Youyi Wang,et al.  Robust load-frequency controller design for power systems , 1993 .

[4]  Warren B. Powell,et al.  Handbook of Learning and Approximate Dynamic Programming , 2006, IEEE Transactions on Automatic Control.

[5]  F. Lewis,et al.  Continuous-Time ADP for Linear Systems with Partially Unknown Dynamics , 2007, 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning.

[6]  D. Kleinman On an iterative technique for Riccati equation computations , 1968 .

[7]  Frank L. Lewis,et al.  Model-free Approximate Dynamic Programming Schemes for Linear Systems , 2007, 2007 International Joint Conference on Neural Networks.

[8]  F. Lewis,et al.  Discrete-time nonlinear HJB solution using Approximate dynamic programming: Convergence Proof , 2007, 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning.

[9]  George G. Lendaris,et al.  Adaptive dynamic programming , 2002, IEEE Trans. Syst. Man Cybern. Part C.

[10]  Sean P. Meyn,et al.  Q-learning and Pontryagin's Minimum Principle , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[11]  Richard S. Sutton,et al.  Neuronlike adaptive elements that can solve difficult learning control problems , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[12]  Andrew G. Barto,et al.  Adaptive linear quadratic control using policy iteration , 1994, Proceedings of 1994 American Control Conference - ACC '94.

[13]  Peter Dayan,et al.  Technical Note: Q-Learning , 2004, Machine Learning.

[14]  Lyle Noakes,et al.  Continuous-Time Adaptive Critics , 2007, IEEE Transactions on Neural Networks.