Preset-time fuzzy control against deception attacks for strict-feedback systems with full-state constraints and quantization

This paper investigates the preset-time fuzzy regulation problem for strict-feedback systems with full-state constraints and quantization under deception attacks. Firstly, a traditional adaptive control scheme is proposed based on the continuous states. Then, a quantizer is employed to quantize all system's states, and a new quantized control scheme is designed based on the discontinuous quantization states. The impact of states quantization is compensated by building the relation between before and after quantization of signals. The fuzzy logic systems (FLSs) are utilized to address unknown continuously derivable functions in the system. To offset the effects of deception attacks, we build new control errors and design the needed controllers based on the quantized attacked states. By introducing a rate function, a novel preset-time control strategy is developed such that the regulation error enters into the range in advance setting within a preset time. Furthermore, this paper designs a barrier Lyapunov function to ensure that all states satisfy the constraints. Finally, a numerical experiment and a physical experiment are utilized to validate the effectiveness of the proposed control scheme, respectively.