Discrete-time LQR optimal tracking control problems using Approximate Dynamic Programming algorithm with disturbance
Inspired by Approximate Dynamic Programming (ADP) and the Algebraic Riccatic Equation (ARE), this paper investigate a new optimal tracking control strategy for a class of discrete-time linear quadratic regulation (LQR) problems with disturbance. First, the optimal tracking problem is converted into...
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| Vydané v: | 2013 Fourth International Conference on Intelligent Control and Information Processing (ICICIP) s. 716 - 721 |
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| Hlavní autori: | , , |
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| Jazyk: | English |
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IEEE
01.06.2013
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| ISBN: | 9781467362481, 1467362484 |
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| Abstract | Inspired by Approximate Dynamic Programming (ADP) and the Algebraic Riccatic Equation (ARE), this paper investigate a new optimal tracking control strategy for a class of discrete-time linear quadratic regulation (LQR) problems with disturbance. First, the optimal tracking problem is converted into designing infinite-horizon optimal regulator for the tracking error dynamics via system transformation. Then we compute the optimal tracking control policy, which can be considered as a way to solve the ARE of the well-known discrete-time optimal control problem forward in time. The iterative ADP algorithm via Heuristic Dynamic Programming (HDP) technique is introduced to solve the value function of the controlled system. To verify its robustness, disturbance is added to the controlled system. The simulation results show the effectiveness and robustness of the proposed algorithm in this paper. |
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| AbstractList | Inspired by Approximate Dynamic Programming (ADP) and the Algebraic Riccatic Equation (ARE), this paper investigate a new optimal tracking control strategy for a class of discrete-time linear quadratic regulation (LQR) problems with disturbance. First, the optimal tracking problem is converted into designing infinite-horizon optimal regulator for the tracking error dynamics via system transformation. Then we compute the optimal tracking control policy, which can be considered as a way to solve the ARE of the well-known discrete-time optimal control problem forward in time. The iterative ADP algorithm via Heuristic Dynamic Programming (HDP) technique is introduced to solve the value function of the controlled system. To verify its robustness, disturbance is added to the controlled system. The simulation results show the effectiveness and robustness of the proposed algorithm in this paper. |
| Author | Bin Luo Fuxiao Tan Qingqing Xie |
| Author_xml | – sequence: 1 surname: Qingqing Xie fullname: Qingqing Xie email: qingqingxieahu@gmail.com organization: Sch. of Comput. Sci. & Technol., Anhui Univ., Hefei, China – sequence: 2 surname: Bin Luo fullname: Bin Luo email: luobin@ahu.edu.cn organization: Sch. of Comput. Sci. & Technol., Anhui Univ., Hefei, China – sequence: 3 surname: Fuxiao Tan fullname: Fuxiao Tan email: fuxiaotan@gmail.com organization: Sch. of Comput. Sci. & Technol., Anhui Univ., Hefei, China |
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| Snippet | Inspired by Approximate Dynamic Programming (ADP) and the Algebraic Riccatic Equation (ARE), this paper investigate a new optimal tracking control strategy for... |
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| SubjectTerms | Educational institutions Equations Heuristic algorithms Mathematical model Optimal control Performance analysis Trajectory |
| Title | Discrete-time LQR optimal tracking control problems using Approximate Dynamic Programming algorithm with disturbance |
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