Adaptive Asynchronous Switching Tracking Algorithm for Continuously Stirred Tank Reactors with Multiple Uncertainties

This paper investigates the temperature tracking issue of a continuously stirred tank reactor system under multiple uncertainties. Firstly, an innovative adaptive switching tracking algorithm is developed to realize excellent temperature tracking, achieving higher product qualities. Based on the proposed algorithm, an adaptive command-filter fuzzy controller is constructed for the plant. Different from the traditional controller, the proposed controller combines prescribed performance functions, effectively circumventing the increased complexity and achieving higher accuracy. Furthermore, a modified event-triggered strategy is presented to avoid the potential influence of asynchronous switching. Based on the mode-dependent average dwell time method and multiple Lyapunov functions, the designed controller enables the saving of communication resources without the necessity of strict assumptions. In addition, the effect of non-affine and dead-zone input is considered and the corresponding mathematical model of system input is reconstructed. Finally, the effectiveness of the tracking algorithm is fully demonstrated by the simulation of a continuously stirred tank reactor system.