Main contents:

Aiming at the non-linear characteristics of the nominal subsystem and the interconnection term in the complex interconnected system, combining fuzzy control, neural network control, adaptive control, fuzzy approximation, fuzzy sliding mode control and other control technologies, Riccati equation, LMI and QMI inequality methods are adopted to study the adaptive control and reliable control of the interconnection system.At the same time, the three methods of using neural network and fuzzy control to deal with interconnected terms with unknown dynamics are deeply analyzed.

Related projects:

• Research on symmetry, similar structure and holographic control of complex control system (national natural science foundation of China 69774005)

• Macroscopic behavior and fractal structure of complex systems (national natural science foundation of China 79970114)

• Research on the structural characteristics and control problems of complex composite systems (special research fund for doctoral programs in institutions of higher learning 97014508)

• Data-driven control theory and its application in large complex systems (national natural science foundation of China "key point",60834001)