Robust controller design for matrix second-order systems with structured uncertainty
A.M. Diwekar, Rama K. Yedavalli
- 发表年份
- 1999
- 引用次数
- 15
摘要
Matrix second-order systems arise frequently in the formulation of dynamic systems in classical mechanics, robotics, aerodynamics and many others. Though formulation of the control design problem in matrix second-order form has many advantages, there is very little literature available on this topic-even for nominal case. In this paper, we design controller gains directly in matrix second-order formulation for robust stability in a specified range of parameter variations. The stabilizing controller gains for the entire parameter variations range are obtained from only two given extreme matrices without formulating or checking the stability of other vertex matrices of the family. The design algorithm is computationally efficient and simple.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992