Adaptive optimal control for continuous-time linear systems based on policy iteration
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Frank L. Lewis | Draguna Vrabie | Murad Abu-Khalaf | Octavian C. Pastravanu | F. Lewis | D. Vrabie | M. Abu-Khalaf | O. Pastravanu
[1] Victor M. Becerra,et al. Optimal control , 2008, Scholarpedia.
[2] F. Lewis,et al. Policy iteration for continuous-time systems with unknown internal dynamics , 2007, 2007 Mediterranean Conference on Control & Automation.
[3] 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..
[4] F. Lewis,et al. Model-free Q-learning designs for discrete-time zero-sum games with application to H-infinity control , 2007, 2007 European Control Conference (ECC).
[5] Petros A. Ioannou,et al. Adaptive control tutorial , 2006, Advances in design and control.
[6] Frank L. Lewis,et al. Policy Iterations on the Hamilton–Jacobi–Isaacs Equation for $H_{\infty}$ State Feedback Control With Input Saturation , 2006, IEEE Transactions on Automatic Control.
[7] K. Morris,et al. Iterative Solution of Algebraic Riccati Equations for Damped Systems , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.
[8] Frank L. Lewis,et al. Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach , 2005, Autom..
[9] George G. Lendaris,et al. Adaptive dynamic programming , 2002, IEEE Trans. Syst. Man Cybern. Part C.
[10] M. Hasan,et al. A method for solving the algebraic Riccati and Lyapunov equations using higher order matrix sign function algorithms , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).
[11] Miroslav Krstic,et al. Stabilization of Nonlinear Uncertain Systems , 1998 .
[12] Chun-Hua Guo,et al. Analysis and modificaton of Newton's method for algebraic Riccati equations , 1998, Math. Comput..
[13] M. Krstić,et al. Optimal design of adaptive tracking controllers for nonlinear systems , 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).
[14] Tomas Landelius,et al. Reinforcement Learning and Distributed Local Model Synthesis , 1997 .
[15] R. Freeman,et al. Robust Nonlinear Control Design: State-Space and Lyapunov Techniques , 1996 .
[16] John N. Tsitsiklis,et al. Neuro-Dynamic Programming , 1996, Encyclopedia of Machine Learning.
[17] Ben J. A. Kröse,et al. Learning from delayed rewards , 1995, Robotics Auton. Syst..
[18] L. C. Baird,et al. Reinforcement learning in continuous time: advantage updating , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).
[19] Andrew G. Barto,et al. Adaptive linear quadratic control using policy iteration , 1994, Proceedings of 1994 American Control Conference - ACC '94.
[20] Youyi Wang,et al. Robust load-frequency controller design for power systems , 1993 .
[21] R.J. Williams,et al. Reinforcement learning is direct adaptive optimal control , 1991, IEEE Control Systems.
[22] H. Banks,et al. A numerical algorithm for optimal feedback gains in high dimensional linear quadratic regulator problems , 1991 .
[23] Paul J. Werbos,et al. Neural networks for control and system identification , 1989, Proceedings of the 28th IEEE Conference on Decision and Control,.
[24] R. Byers. Solving the algebraic Riccati equation with the matrix sign function , 1987 .
[25] L. Balzer. Accelerated convergence of the matrix sign function method of solving Lyapunov, Riccati and other matrix equations , 1980 .
[26] Joe Brewer,et al. Kronecker products and matrix calculus in system theory , 1978 .
[27] A. Laub. A schur method for solving algebraic Riccati equations , 1978, 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes.
[28] Thomas Kailath,et al. Some new algorithms for recursive estimation in constant linear systems , 1973, IEEE Trans. Inf. Theory.
[29] D. Kleinman. On an iterative technique for Riccati equation computations , 1968 .
[30] J. Potter. Matrix Quadratic Solutions , 1966 .
[31] A. MacFarlane. An Eigenvector Solution of the Optimal Linear Regulator Problem , 1963 .
[32] R. Howard. Dynamic Programming and Markov Processes , 1960 .