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首页> 外文期刊>International Journal of Adaptive Control and Signal Processing >TECHNICAL NOTE A NEW DECOUPLING DESIGN OF SELF-TUNING MULTIVARIABLE GENERALIZED PREDICTIVE CONTROL
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TECHNICAL NOTE A NEW DECOUPLING DESIGN OF SELF-TUNING MULTIVARIABLE GENERALIZED PREDICTIVE CONTROL

机译:技术说明自调整多变量广义预测控制的新解耦设计

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摘要

A novel robust decoupling method with multivariable generalized predictive control (MGPC) for a class of nonlinear systems is presented in an adaptive version. The cross-coupling action and the non-linear actors of the system are identified on-line by a neural network. A feedforward compensation based on generalized predictive control, is proposed for decoupling control. A modified recursive least-squares (RLS) algorithm can be used to estimate the linear parameters for time-varying systems. Simulations are carried out and the results show the effectiveness of the proposed algorithm. Copyright
机译:在自适应版本中,提出了一种针对一类非线性系统的具有多变量广义预测控制(MGPC)的新颖鲁棒去耦方法。系统的交叉耦合作用和非线性作用因素通过神经网络在线识别。提出了一种基于广义预测控制的前馈补偿解耦控制方法。改进的递归最小二乘(RLS)算法可用于估计时变系统的线性参数。仿真结果表明该算法是有效的。版权

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