【摘要】 结合神经网络和预测控制的优点,提出了一种神经网络模型预测控制算法。将这种算法用于热交换器温度控制系统的仿真研究表明,该控制方案表现出良好的控制品质并能适应被控对象参数的变化,具有较强的鲁棒性和自适应能力,从而为非线性、大滞后系统的实时智能优化控制的实现提出了一种有效的方法。更多还原

【Abstract】 The paper presents a neural networks predictive control algorithm based on the advantage of neural networks and predictive control.Simulation results using the algorithm for the temperature control system of heat exchanger show that this method is adapted to the parameter changes of the object and has perfect control performance,strong robustness and self-adaptive ability.So the paper proposes a better real-time intelligence optimization control means to nonlinear and time-delay system.更多还原