Hierarchical Controller Synthesis Under Linear Temporal Logic Specifications Using Dynamic Quantization
作者机构:the Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of EducationDalian University of Technology the School of Control Science and EngineeringDalian University of TechnologyDalian 116024China
出 版 物:《IEEE/CAA Journal of Automatica Sinica》 (自动化学报(英文版))
年 卷 期:2024年第11卷第10期
页 面:2082-2098页
核心收录:
学科分类:0711[理学-系统科学] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 0802[工学-机械工程] 0835[工学-软件工程] 0811[工学-控制科学与工程] 080201[工学-机械制造及其自动化]
基 金:supported by the Fundamental Research Funds for the Central Universities(DUT22RT(3)090) the National Natural Science Foundation of China(61890920,61890921,62122016,08120003) Liaoning Science and Technology Program(2023JH2/101700361)
主 题:Abstraction-based control design dynamic quantization formal methods linear temporal logic(LTL)
摘 要:Linear temporal logic(LTL)is an intuitive and expressive language to specify complex control tasks,and how to design an efficient control strategy for LTL specification is still a *** this paper,we implement the dynamic quantization technique to propose a novel hierarchical control strategy for nonlinear control systems under LTL *** on the regions of interest involved in the LTL formula,an accepting path is derived first to provide a high-level solution for the controller synthesis ***,we develop a dynamic quantization based approach to verify the realization of the accepting *** realization verification results in the necessity of the controller design and a sequence of quantization regions for the controller ***,the techniques of dynamic quantization and abstraction-based control are combined together to establish the local-to-global control *** abstraction construction and controller design are local and dynamic,thereby resulting in the potential reduction of the computational *** each quantization region can be considered locally and individually,the proposed hierarchical mechanism is more efficient and can solve much larger problems than many existing ***,the proposed control strategy is illustrated via two examples from the path planning and tracking problems of mobile robots.