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Robust stability and evaluation of the quality functional for nonlinear control systems

A. G. Mazko

发表年份
2015
引用次数
3

摘要

We develop new methods of robust stability analysis for equilibrium states and optimization of nonlinear feedback control systems. For a family of nonlinear systems with uncertain matrices of coefficients and measurable output feedback we formulate sufficient stability conditions for the zero state with a general quadratic Lyapunov function. We propose a solution for the general robust stabilization and estimation problem for a quadratic performance index for a family of nonlinear systems. We show an example of a stabilization system for a single-link robot manipulator.

关键词

Control theory (sociology)Nonlinear systemStability (learning theory)Quadratic equationLyapunov functionMathematicsRobust controlState (computer science)Nonlinear controlMathematical optimization

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