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Control of Systems with Input Nonlinearities and Uncertainties : An Adaptive Approach

机译:输入非线性和不确定性系统的控制:一种自适应方法

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摘要

Although many of todays nonlinear control design algorithms assume the system dynamics to be affine in the control input, this often does not hold in practice. A remedy for this is to instead design acontrol law in terms of some other entity that satisfies the structural assumptions of the design method. In this contribution we discuss how to realize such a virtual control law in terms of the actual control variable. Given a nominal static invertible model of the mapping between the two, the true mapping is assumed to differ from the model by a constant bias. Two ways of how to estimate this bias on-line and use it for feedback are proposed. One of them corresponds to adaptive backstepping, the other one is an observer based approach. In both cases we investigate how to guarantee closed loop stability when the estimate is used for feedback.
机译:尽管当今的许多非线性控制设计算法都假定系统动力学在控制输入中是仿射的,但在实践中通常并不成立。对此的一种补救方法是,根据满足设计方法的结构假设的其他某些实体来设计控制律。在本文中,我们讨论了如何根据实际控制变量实现这种虚拟控制定律。给定两者之间映射的名义静态可逆模型,则假定真实映射与模型存在恒定偏差。提出了两种在线估计此偏差并将其用于反馈的方法。其中一个对应于自适应反推,另一个对应于基于观察者的方法。在这两种情况下,我们都研究了将估算用于反馈时如何保证闭环稳定性。

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