Robust hyperplane synthesis for sliding mode control systems via sensitivity minimization
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 125-139 |
| Journal / Publication | Optimal Control Applications and Methods |
| Volume | 23 |
| Issue number | 3 |
| Publication status | Published - May 2002 |
Link(s)
Abstract
A robust hyperplane computation scheme for sliding mode control systems is proposed in this paper. A novel sensitivity index for the sliding eigenvalues with respect to perturbations in the system matrix, the input matrix and the hyperplane matrix is derived in the first instance. The robust hyperplane design problem is then formulated as an optimization task in which the proposed sensitivity index is accordingly minimized. Gradient information of the objective function is established which permits optimization to be proceeded effectively. A numerical example with statistical testing is employed to illustrate the design technique.
Research Area(s)
- Eigenvalue assignment, Hyperlane design, Robustness, Sensitivity, Sliding modes
Citation Format(s)
Robust hyperplane synthesis for sliding mode control systems via sensitivity minimization. / Tam, Hei Ka; Ho, Daniel W. C.; Lam, James.
In: Optimal Control Applications and Methods, Vol. 23, No. 3, 05.2002, p. 125-139.
In: Optimal Control Applications and Methods, Vol. 23, No. 3, 05.2002, p. 125-139.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
