Data-driven adaptive optimization control method for random disturbance system and medium
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- 北京理工大学重庆创新中心
- Publication Date
- 2020-03-13
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Abstract
Description
technical field
[0001] The invention relates to a random noise disturbance system, in particular to a model-free random optimal control. Random noise disturbance systems are used in many fields such as industrial and agricultural production, power systems, chemical processes, machinery manufacturing, transportation, aerospace, artificial intelligence, etc. Background technique
[0002] Uncertainties in real systems may come from noise in signals such as inputs and states. Therefore, the optimal control problem of random noise disturbance system has been paid much attention. In the traditional literature, this kind of problem usually adopts H 2 or H ∞ The mainstream implementation method is to adjust the disturbance input with a certain deterministic model, and then design the state feedback control. But in engineering practice, it is often unrealistic to make external disturbances update in the way people expect. On the other hand, the existing H 2 and H ∞ Most of the...