참고문헌 (27)

1. 1. Kirk D.E. Optimal Control Theory: An Introduction Prentice-Hall Englewood Cliffs, NJ, USA 1970 

2. 2. Lewis F.L. Vrabie D.L. Syrmos V.L. Optimal Control John Wiley & Sons, Inc. Hoboken, NJ, USA 2012 

3. 3. Al’brekht E.G. On the optimal stabilization of nonlinear systems J. Appl. Math. Mech. 1961 25 1254 1266 10.1016/0021-8928(61)90005-3 

   상세보기

4. 4. Garrard W.L. Jordan J.M. Design of nonlinear automatic flight control systems Automatica 1977 13 497 505 10.1016/0005-1098(77)90070-X 

   상세보기

5. 5. Nishikawa Y. Sannomiya N. Itakura H. A method for suboptimal design of nonlinear feedback systems Automatica 1971 7 703 712 10.1016/0005-1098(71)90008-2 

   상세보기

6. 6. Saridis G.N. Lee C.-S.G. An approximation theory of optimal control for trainable manipulators IEEE Trans. Syst. Man Cybern. 1979 SMC-9 152 159 10.1109/TSMC.1979.4310171 

   상세보기

7. 7. Beard R.W. Saridis G.N. Wen J.T. Galerkin approximations of the generalized Hamilton-Jacobi-Bellman equation Automatica 1997 33 2159 2177 10.1016/S0005-1098(97)00128-3 

   상세보기

8. 8. Beard R.W. Saridis G.N. Wen J.T. Approximate solutions to the time-invariant Hamilton-Jacobi-Bellman equation J. Optim. Theory Appl. 1998 96 589 626 10.1023/A:1022664528457 

   상세보기

9. 9. Abu-Khalaf M. Lewis F.L. Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach Automatica 2005 41 779 791 10.1016/j.automatica.2004.11.034 

   상세보기

10. 10. Sutton R.S. Barto A.G. Reinforcement Learning: An Introduction MIT Press Cambridge, MA, USA 1998 

11. 11. Jiang Y. Jiang Z.-P. Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics Automatica 2012 48 2699 2704 10.1016/j.automatica.2012.06.096 

    상세보기

12. 12. Vrabie D.L. Lewis F.L. Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems Neural Netw. 2009 22 237 246 10.1016/j.neunet.2009.03.008 19362449 

    상세보기

13. 13. Jiang Y. Jiang Z.-P. Robust adaptive dynamic programming and feedback stabilization of nonlinear systems IEEE Trans. Neural Netw. Learn. Syst. 2014 25 882 893 10.1109/TNNLS.2013.2294968 24808035 

    상세보기

14. 14. Jiang Y. Jiang Z.-P. Robust Adaptive Dynamic Programming John Wiley & Sons, Inc. Hoboken, NJ, USA 2014 

15. 15. Lee J.Y. Park J.B. Choi Y.H. Integral reinforcement learning for continuous-time input-affine nonlinear systems with simultaneous invariant explorations IEEE Trans. Neural Netw. Learn. Syst. 2015 26 916 932 25163070 

    상세보기

16. 16. Krener A.J. Nonlinear Systems Toolbox. MATLAB Toolbox Available upon Request from ajkrener@ucdavis.edu 

17. 17. Giftthaler M. Neunert M. Stäuble M. Buchli J. The Control Toolbox—An open-source C++ library for robotics, optimal and model predictive control Proceedings of the IEEE 2018 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR) Brisbane, Australia 16–19 May 2018 123 129 

18. 18. Houska B. Ferreau H.J. Diehl M. ACADO Toolkit—An open source framework for automatic control and dynamic optimization Optim. Control Appl. Meth. 2011 32 298 312 10.1002/oca.939 

    상세보기

19. 19. Verschueren R. Frison G. Kouzoupis D. Frey J. van Duijkeren N. Zanelli A. Novoselnik B. Albin T. Quirynen R. Diehl M. ACADOS: A modular open-source framework for fast embedded optimal control arXiv 2019 1910.13753 

20. 20. Patterson M.A. Rao A.V. GPOPS-II: A MATLAB software for solving multiple-phase optimal control problems using hp-adaptive Gaussian quadrature collocation methods and sparse nonlinear programming ACM Trans. Math. Softw. 2014 41 1 37 10.1145/2558904 

    상세보기

21. 21. Cox D.A. Little J. O’Shea D. Ideals, Varieties, and Algorithms: An Introduction to Computational Algebraic Geometry and Commutative Algebra Springer New York, NY, USA 2015 

22. 22. Chang D.E. On controller design for systems on manifolds in Euclidean space Int. J. Robust Nonlinear Control 2018 28 4981 4998 10.1002/rnc.4294 

    상세보기

23. 23. Ko W. A Stable Embedding Technique for Control of Satellite Attitude Represented in Unit Quaternions Master’s Thesis Korea Advanced Institute of Science & Technology Daejeon, Korea 2020 

24. 24. Ko W. Phogat K.S. Petit N. Chang D.E. Tracking controller design for satellite attitude under unknown constant disturbance using stable embedding J. Electr. Eng. Technol. 2021 16 1089 1097 10.1007/s42835-020-00622-3 

    상세보기

25. 25. Lillicrap T.P. Hunt J.J. Pritzel A. Heess N. Erez T. Tassa Y. Silver D. Wierstra D. Continuous control with deep reinforcement learning arXiv 2015 509.02971 

26. 26. Gurney K. An Introduction to Neural Networks UCL Press London, UK 1997 

27. 27. Caterini A.L. Chang D.E. Deep Neural Networks in a Mathematical Framework Springer New York, NY, USA 2018 

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