Recently, the research group of Associate Professor Chen Bei of the college has made a number of research achievements in the field of sliding mode control, and published a paper in IEEE Trans. Cybernetics (top of Computer Science Zone 1, if = 10.089), an important academic journal in the international control field, as the first author and corresponding author "Input to state stabilization of stochastic Markovian jump systems under communication constraints: genetic algorithm based performance optimization", published in the International Journal of robust and nonlinear control (top of Engineering Technology Zone 2, if = 3.771) "Dynamic event triggered sliding mode security control for Markovian jump systems: learning based iteration optimization method" and "sliding mode switched control for Markovian jump systems against intermittent denial of service attacks"

The rapid development and increasing popularity of network communication technology bring convenience to social development. At the same time, due to the openness of the network, it is also subject to inevitable malicious attacks and threats. The sharing of network resources and bandwidth constraints will also cause data congestion, transmission delay and information loss, which will directly affect the performance of the control system. Therefore, limited by the limited network resources and the easy intrusion of wireless communication transmission, the practical application of networked Markov jump system faces a key problem: how to reduce the network communication burden and improve the ability of the controller to resist attacks. To solve the above problems, the research group has carried out research on sliding mode control of Markov jump systems with limited information, including:

1．The sliding mode control strategy of random scheduling of the channel according to Markov chain under communication constraints is established: the communication channel is scheduled by using the random scheduling protocol, the information compensation mechanism under the channel scheduling protocol is established, the design problem of sliding mode controller under the scheduling protocol is solved, and the dynamic performance of the control system under limited network resource constraints is guaranteed, It widens the application field of Markov modeling method. The achievement [1] was published in ieeetrans. Cybernetics (top of zone 1, if = 10.089) (2021, DOI: 10.1109 / TCYB. 2021.3066509).

2．An event triggered sliding mode control strategy under communication constraints and false data injection attacks is established: for Markov jump systems with false data injection attacks and unmeasurable system states, in order to reduce redundant data transmission, a dynamic event triggered asynchronous sliding mode controller based on control mode estimation is designed, The sufficient conditions for the random uniform boundedness of the closed-loop system are given, the neighborhood accessibility of the sliding mode surface in the mean square sense is proved, and the control gain is solved based on GA optimization algorithm. The achievement [2] was published in the International Journal of robot and nonlinear control (top of zone 2, if = 3.771) (2021, DOI: 10.1002 / RNC. 5471).

3. A sliding mode control strategy under intermittent denial of service attack is established: for Markov jump systems under intermittent denial of service attack and system state unpredictability, a synchronous / asynchronous switching sliding mode controller is designed according to different states of denial of service attack, so as to ensure the exponential mean square stability of the closed-loop system under attack and system state unpredictability. The achievement [3] was published in the International Journal of robot and nonlinear control (zone 2 top, if = 3.771) (2021, DOI: 10.1002 / RNC. 5901).

4. The above results are extended to DC microgrid system, and the sliding mode control method is used to solve the stabilization problem of a class of DC microgrid system under false data injection attack. The first author is master's student Lou Qikai and the corresponding author is Tutor CHEN Bei. The achievement [4] was published in the important academic journal control and decision-making in the domestic control field (2021, DOI: 10.13195 / j.kzyjc. 2021.0606)

The above work was supported by the general project of National Natural Science Foundation of China (62173222, presided over), youth project (61803255, presided over), general project of Shanghai Natural Science Foundation (18zr1416700, presided over) and major project of scientific and technological innovation 2030 - "new generation artificial intelligence" (2020aa0109301, participated).

[1]https://www.researchgate.net/publication/350704932 _Input-to State Stabilization of Stochastic Markovian Jump Systems Under Communication Constraints Genetic Algorithm-Based Performance Optimization/citations

[2] https://onlinelibrary.wiley.com/doi/10.1002/rnc.5471

[3] https://onlinelibrary.wiley.com/doi/10.1002/rnc.5901

[4] http://kzyjc.alljournals.cn/kzyjc/article/abstract/2021-0606