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Optimal non-linear robust control for non-linear uncertain systems

机译:非线性不确定系统的最优非线性鲁棒控制

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摘要

In this paper we develop an optimality-based robust control framework for nonlinear uncertain systems with structured parametric uncertainty. Specifically, using an optimal nonlinear robust control framework, we develop a family of globally stabilizing robust backstepping controllers parametrized by the cost functional that is minimized. Furthermore, it is shown that the Lyapunov function for the closed-loop system guaranteeing robust stability over a prescribed range of structured system parametric uncertainty is a solution to the steady-state Hamilton-Jacobi-Bellman equation for the controlled system and thus guarantees robust stability and robust performance. The results are then used to design robust controllers for jet engine compression systems with uncertain system dynamics.
机译:在本文中,我们为具有结构化参数不确定性的非线性不确定系统开发了基于最优性的鲁棒控制框架。具体来说,使用最优的非线性鲁棒控制框架,我们开发了一系列以最小化成本函数为参数的全局稳定鲁棒反推控制器。此外,证明了在规定的结构化系统参数不确定性范围内保证鲁棒稳定性的闭环系统的Lyapunov函数是受控系统稳态Hamilton-Jacobi-Bellman方程的解决方案,从而保证了鲁棒稳定性和强大的性能。然后将结果用于设计具有不确定系统动力学的喷气发动机压缩系统的鲁棒控制器。

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