When the parameters of the system change abruptly, a new multivariable adaptive feedforward decoupling controller using multiple models is presented to improve the transient response. The system models are composed of...When the parameters of the system change abruptly, a new multivariable adaptive feedforward decoupling controller using multiple models is presented to improve the transient response. The system models are composed of multiple fixed models, one free-running adaptive model and one re-initialized adaptive model. The fixed models are used to provide initial control to the process. The re-initialized adaptive model can be reinitialized as the selected model to improve the adaptation speed. The free-running adaptive controller is added to guarantee the overall system stability. At each instant, the best system model is selected according to the switching index and the corresponding controller is designed. During the controller design, the interaction is viewed as the measurable disturbance and eliminated by the choice of the weighting polynomial matrix. It not only eliminates the steady-state error but also decouples the system dynamically. The gtobel convergence is obtained and several simulation examples are presented to illustrate the effectiveness of the proposed controller.展开更多
文摘When the parameters of the system change abruptly, a new multivariable adaptive feedforward decoupling controller using multiple models is presented to improve the transient response. The system models are composed of multiple fixed models, one free-running adaptive model and one re-initialized adaptive model. The fixed models are used to provide initial control to the process. The re-initialized adaptive model can be reinitialized as the selected model to improve the adaptation speed. The free-running adaptive controller is added to guarantee the overall system stability. At each instant, the best system model is selected according to the switching index and the corresponding controller is designed. During the controller design, the interaction is viewed as the measurable disturbance and eliminated by the choice of the weighting polynomial matrix. It not only eliminates the steady-state error but also decouples the system dynamically. The gtobel convergence is obtained and several simulation examples are presented to illustrate the effectiveness of the proposed controller.
基金国家科技部国家重点研发计划项目（2018YFC1705800）：经皮颅-耳电刺激‘调枢启神’抗抑郁临床方案优化及效应机制研究，负责人：荣培晶北京市科委脑认知与脑医学专项（Z161100002616003）：基于耳甲-迷走神经联系治疗抑郁症可穿戴设备从基础到临床，负责人：荣培晶+2 种基金中国中医科学院针灸研究所基本科研业务费自主选题项目（201814002）：经皮耳甲电刺激抗抑郁效应的中枢胆碱能抗炎机制，负责人：李少源中国中医科学院中医药“一带一路”合作专项课（GH2017-07）：针刺治疗抑郁症兼明显躯体疼痛的疗效和机制研究，负责人：荣培晶国家自然科学基金中德合作研究项目（GZ1236）:Purine signaling in depression and antidepressant effect of transcutaneous auricular vagus electroacupuncture，负责人：荣培晶
