摘要
实际受控系统都存在非线性和不确定性,使得参数化模型控制算法难以实施.为此,提出一种非参数化模型的模糊控制算法,即在非线性系统中对局部过程实施模糊分段线性化,对分段线性化的过程进行联接,将分段线性化的模糊模型集合拟合为全局非线性模型.其控制律是由局部线性化的模糊控制律经模糊联接而构成整体非线性系统的模糊控制律.通过稳定性证明和仿真验证,论证了所给算法的有效性.
Nonlinearity and uncertainty make it difficult to control systems in practice. A fuzzy control scheme is proposed for nonlinear processes. Fuzzy linearized sub-processes are used and connected to structure the whole nonlinear system. The fuzzy control of nonlinear system is fulfilled according to synthesis of fuzzy sub-models. Stability proof and simulation show the effectiveness of the presented algorithms.
出处
《控制与决策》
EI
CSCD
北大核心
2004年第10期1163-1166,共4页
Control and Decision
关键词
非线性系统
模糊模型
局部线性化
全局稳定性
Computer simulation
Linearization
Nonlinear systems
State feedback
System stability
