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摘要: 对一类常见的非线性系统,利用Popov超稳定性理论得到一种模糊自适应控制方 案,该方案在模型匹配的条件下能保证闭环系统的(渐近)稳定性.当模型匹配条件不满足时, 通过引入一个辅助控制量使系统仍保持稳定.因此,文中提出的方法普遍适用于一类非线性 离散或连续控制系统的设计.Abstract: By using Popov's hyperstability theory, a fuzzy adaptive control scheme is proposed to control a class of nonlinear systems in this paper. The asymptotic stability of the closed-loop system can be assured by this control scheme under the model-match condition. When the model-match condition does not hold, an accessory control term is employed to keep the stability of the system. So, the method proposed is generally applicable to a class of nonlinear systems, discrete or continuous.
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Key words:
- Nonlinear systems /
- Popov's hyperstability /
- fuzzy adaptive control
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