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针对一类仅子系统输出变量可测的非仿射不确定非线性关联大系统,考虑其关联项是关于系统状态的普通高阶多项式,在无须严格正实(SPR)的条件下采用Leunberger观测器观测未知状态向量,结合模糊系统的万能逼近原理,监督控制技术和自适应控制技术,借助反证法提出一种新的分散自适应模糊输出反馈控制方案,该方案不仅取消了逼近误差平方可积的假设条件,而且控制增益隐含数一阶导数的上界是更具一般性的未知非线性函数,基于Lyapunov稳定理论分析证明了闭环系统的全局稳定性,跟踪误差收敛到零,仿真结果表明所提控制方案的有效性。
For a class of non-affine uncertain nonlinear systems of correlative measurable output variables of subsystems, consider that the related item is an ordinary high-order polynomial about the state of the system, and the Leunberger’s observation is used without strict positive real (SPR) Combining with the universal approximation principle of fuzzy system, supervisory control technique and adaptive control technique, a new decentralized adaptive fuzzy output feedback control scheme is proposed by means of inverse proof. This scheme not only cancels the product of the square of the square of the approximation error The upper bound of the first derivative of the implicit control gain is a more general unknown nonlinear function. Based on Lyapunov stability theory, the global stability of the closed-loop system is proved and the tracking error converges to zero. The simulation results show that To control the effectiveness of the program.