大时滞过程的改进单神经元-Smith控制器及其仿真

Improved Single Neuron-smith Controller for the Process of the Large Time-lag and Its Simulation

提出一种变结构单神经元-Smith预估控制器方案,用于大时滞过程控制。仿真结果表明,单神经元Smith预估控制能够充分利用神经元自学习、自适应的能力以及Smith预估补偿控制的优点,使系统的控制品质提高,而且具有更强的鲁棒性和自适应性。

In this paper a single neuron- Smith controller is presented to deal with the control difficulties of time- delay system . The simulating results indicate the proposed control system has advantages of the self- learning ability, the self adaptability and the compensation control so that the control quality, the robustness and the adapt - ability of the control system are superior to the general control.