Observer-based quantized sliding mode control for nonlinear networked singularly perturbed systems under deception attacks
摘要
The observer-based sliding mode dissipative control problem for nonlinear networked singularly perturbed systems is studied in this paper with actuator attacks. Takagi-Sugeno fuzzy model is used to describe nonlinear networked singularly perturbed systems. The event-triggered mechanism and multipath signal quantization are considered to further reduce the occupation of communication network bandwidth. Considering that the network communication channel is not completely reliable, the control signal is affected by the deception attacks. First, sufficient conditions are provided for the design of the observer and controller so as to the closed-loop system has asymptotic stability and strict dissipativity. After that, based on the controller’s gain design, a sliding mode control law is designed to guarantee the system maintain a stable motion trajectory on the sliding surface. Finally, the effectiveness of the proposed design approach is demonstrated by simulation results.