摘要
针对一类具有干扰和不确定性的多变量非线性系统,提出了一种自适应模糊控制方法.该多变量系统由m个互连子系统组成,每个互连子系统中的未知函数是非仿射的.由于不确定非仿射函数的存在和互连子系统之间的耦合,这类系统是很难控制的.通过利用均值定理、模糊系统、Backstepping设计方法以及引入Nussbaum类型函数,克服了这个困难.另外,与大多数研究结果相比较,提出的方法减少了在线调节参数的数量.提出的控制方法能实现闭环系统的所有信号是有界的.仿真实验表明该控制方法的有效性.
An adaptive fuzzy control approach is proposed for a class of multivariable nonlinear systems with disturbances and uncertainties. The multivariable systems are composed of m interconnected subsystems. The unknown functions in each interconnected subsystem are non-affine. It is difficult to control this class of systems due to the existence of the uncertain non-affine functions and the couplings among interconnected subsystems. This difficulty is overcome by using the mean value theorem, the fuzzy system, the backstepping design method and introducing Nussbaum-type functions. In addition, compared with most of the research results, the proposed approach reduces the quantity of the online adjusted parameters. The approach can achieve that all the signals of the closed-loop system are bounded. Simulation experiment demonstrates the effectiveness of the control approach.
出处
《自动化学报》
EI
CSCD
北大核心
2007年第11期1163-1169,共7页
Acta Automatica Sinica
基金
国家自然科学基金(60474058
60534010)
辽宁省高校智能控制理论与应用重点实验室基金(200521307)资助~~
