Bilateral Cooperative Control of Nonlinear Multiagent Systems With State and Output Quantification
研究了非线性多智能体系统的模糊自适应状态和输出量化双边协同控制问题，通过模糊逻辑系统逼近未知非线性函数，并构建模糊状态观测器，利用二阶命令滤波器和均匀量化器设计控制器，仿真验证了有效性。
The fuzzy adaptive state and output quantization bilateral cooperative control problem for nonlinear multiagent systems (NMASs) is studied. Since the considered system is nonlinear, fuzzy logic system (FLS) is applied to approximate the unknown nonlinear function, and a fuzzy state observer is constructed because the state cannot be measured. A second-order command filter is used to solve the complex problem of calculating the time derivative of the virtual control function, and a uniform quantizer is used for fuzzy adaptive inversion design in the process of controller design. Ultimately, the effectiveness of the proposed control method is verified by a series of simulation experiments and research results.