Event-triggered drug dosage control strategy of immune systems via safe integral reinforcement learning

IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Lin Chen , Yongwei Zhang , Pan Yang , Xiaoyan Jin
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引用次数: 0

Abstract

This paper develops an event-triggered drug dosage control strategy for immune systems with state and input constraints via safe integral reinforcement learning. By developing a novel performance index function with control barrier function included, the state and control input can be constrained within specified ranges, that is, the number of cells and the dosage of the drug can be maintained within the appropriate range, which ensures the safety of the immune system. Subsequently, the drug dosage control strategy is designed under the event-triggered mechanism, which means that it is updated only when necessary instead of periodically adjusted over time, effectively reducing the number of drug dosage control strategy adjustment and saving computational resources. Moreover, a single critic neural network structure is established to attain an approximate event-triggered drug dosage control strategy. Theoretical analysis shows that under the developed novel event-triggered condition, the approximate event-triggered drug dosage control strategy ensures the tracking error is uniformly ultimately bounded. Ultimately, the simulation experiments confirm the effectiveness of the proposed safe integral reinforcement learning based event-triggered drug dosage control strategy. Note that this drug dosage control strategy can adjust the quantities of pathogens and immune cells to the desired levels with minimal drug costs, achieving precise treatment while reducing drug side effects.
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来源期刊
European Journal of Control
European Journal of Control 工程技术-自动化与控制系统
CiteScore
5.80
自引率
5.90%
发文量
131
审稿时长
1 months
期刊介绍: The European Control Association (EUCA) has among its objectives to promote the development of the discipline. Apart from the European Control Conferences, the European Journal of Control is the Association''s main channel for the dissemination of important contributions in the field. The aim of the Journal is to publish high quality papers on the theory and practice of control and systems engineering. The scope of the Journal will be wide and cover all aspects of the discipline including methodologies, techniques and applications. Research in control and systems engineering is necessary to develop new concepts and tools which enhance our understanding and improve our ability to design and implement high performance control systems. Submitted papers should stress the practical motivations and relevance of their results. The design and implementation of a successful control system requires the use of a range of techniques: Modelling Robustness Analysis Identification Optimization Control Law Design Numerical analysis Fault Detection, and so on.
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