基于标准可加性模型的模糊控制算法仿真

介绍了基于标准可加性模型（SAM）的模糊控制算法，将该算法及自学习SAM算法分别应用于控制领域，仿真结果表明可以取得较好的控制效果，且具有较强的鲁棒性，是一种理想的适合工业控制应用的模糊控制器。     

Fuzzy and adaptive fuzzy control for the automobiles’ active suspension system

Two typical criteria for good vehicle suspension performance are their ability to provide good road handling and increased passenger comfort. The main disturbance affecting these two criteria is terrain irregularities. Active suspension control systems reduce these undesirable effects by isolating car body motion from vibrations at the wheels. This paper describes fuzzy and adaptive fuzzy control (AFC) schemes for the automobile active suspension system (ASS). The design objective is to provide smooth vertical motion so as to achieve the road holding and riding comfort over a wide range of road profiles. The efficacy of the proposed control schemes is demonstrated via simulations. With respect to the optimal linear quadratic regulator (LQR), it is shown that superior results have been achieved by the AFC.     

介电各向异性对铁电液晶光电特性的影响

提出了一种描述铁电液晶（FLC）介电各向异性的电路模型．分析了FLC介电各向异性对开关响应时间、特征时间、特征电压和极化反转电流的作用,以及铁电扭矩和介电扭矩对光透射率的影响。模拟分析显示,延迟时间随驱动电压幅度变化存在最小值,特征时间（特征电压）随二轴参量的提高而增加（减小）．随二轴参量增大,介电扭矩的贡献将超过铁电扭矩;相应的极化反转电流由双极性转变为单极性;透射率无”明态”和”暗态”的交替,且峰值逐步降低．     

Fuzzy and adaptive fuzzy control for the automobiles' active suspension system

Two typical criteria for good vehicle suspension performance are their ability to provide good road handling and increased passenger comfort. The main disturbance affecting these two criteria is terrain irregularities. Active suspension control systems reduce these undesirable effects by isolating car body motion from vibrations at the wheels. This paper describes fuzzy and adaptive fuzzy control (AFC) schemes for the automobile active suspension system (ASS). The design objective is to provide smooth vertical motion so as to achieve the road holding and riding comfort over a wide range of road profiles. The efficacy of the proposed control schemes is demonstrated via simulations. With respect to the optimal linear quadratic regulator (LQR), it is shown that superior results have been achieved by the AFC.