In this paper,we review some existing control methodologies for complex systems with particular emphasis on those that are near critical.Due to the shortage of the classical control theory in handling complex systems,...In this paper,we review some existing control methodologies for complex systems with particular emphasis on those that are near critical.Due to the shortage of the classical control theory in handling complex systems,the reviewed control methods are mainly associated with machine learning techniques,game-theoretical approaches,and sparse control strategies.Additionally,several interesting and promising directions for future research are also proposed.展开更多
基金supported in part by the Shanghai Municipal Science and Technology,China Major Project(No.2021SHZDZX0100)in part by the National Natural Science Foundation of China(Nos.62073241,62088101,62103303)+1 种基金in part by the Shanghai Municipal Commission of Science and Technology,China Project(No.19511132101)and in part by the Fundamental Research Funds for the Central Universities(No.22120200077)。
文摘In this paper,we review some existing control methodologies for complex systems with particular emphasis on those that are near critical.Due to the shortage of the classical control theory in handling complex systems,the reviewed control methods are mainly associated with machine learning techniques,game-theoretical approaches,and sparse control strategies.Additionally,several interesting and promising directions for future research are also proposed.
