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| 论文编号: |
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| 第一作者所在部门: |
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| 中文论文题目: |
Event-Based Constrained Robust Control of Affine Systems Incorporating an AdaptiveCritic Mechanism
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| 英文论文题目: |
Event-Based Constrained Robust Control of Affine Systems Incorporating an AdaptiveCritic Mechanism
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| 论文题目英文: |
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| 作者: |
Wang, Ding
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| 论文出处: |
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| 刊物名称: |
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
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| 年: |
2017
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| 卷: |
47 |
| 期: |
7 |
| 页: |
1602-1612 |
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| 影响因子: |
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| 摘要: |
This paper focuses on establishing an event-based constrained robust control strategy for a class of continuous-time affine nonlinear systems by incorporating the adaptive critic mechanism (ACM). The main objective is to integrate the event-based framework, the constrained optimal control method, and the neural network learning ability, thereby achieving the nonlinear robust state feedback of input-constrained nonlinear systems under event-based environment. Through theoretical analysis, it is shown that the nonlinear robust control law subject to input limitations can be obtained by designing an event-based constrained optimal controller with respect to the nominal system. Then, the ACM is adopted to facilitate the constrained optimal control implementation, where a critic neural network is constructed to serve as the learning approximator. The system stability issue is proved by employing the Lyapunov theory and the constrained robust control performance is illustrated through simulation experiments of several dynamical plants. |
| 英文摘要: |
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