Multi criteria controller design for uncertain MIMO systems using global non-convex optimization

Proceedings of the IEEE Conference on Decision and Control

Volumn 4, Issue , 2001, Pages 3976-3981

  Holmstrom K ^b   Lennartson, B ^a   Wik, T ^a  

^a CHALMERS UNIVERSITY OF TECHNOLOGY   (Sweden)

^b MÄLARDALEN UNIVERSITY   (Sweden)

Author keywords

Non convex global optimization; Performance optimization; Robustness; Uncertainty; analysis

Indexed keywords

ALGORITHMS; CLOSED LOOP CONTROL SYSTEMS; CONTROL SYSTEM SYNTHESIS; DISTILLATION COLUMNS; OPTIMIZATION; PERFORMANCE; ROBUSTNESS (CONTROL SYSTEMS); SYSTEMS ANALYSIS; TWO TERM CONTROL SYSTEMS; UNCERTAIN SYSTEMS;

DISTURBANCE REJECTION; GLOBAL NON CONVEX OPTIMIZATION; PERFORMANCE OPTIMIZATION; STRUCTURED SINGULAR VALUE;

MULTIVARIABLE CONTROL SYSTEMS;

EID: 0035706966     PISSN: 01912216     EISSN: None     Source Type: Journal    
DOI: 10.1109/CDC.2001.980506     Document Type: Article

References (27)

1. Global optimization using the DIRECT algorithm in Matlab
2. Global optimization of costly nonconvex functions using radial basis functions
3. A new iteration scheme for robust performance problem: E-k iteration
4. Structured uncertainty in control system design
5. Performance and robustness analysis for structured uncertainty
6. On optimizing PID controllers for uncertain plants using Horowitz bounds
7. ∞ control for uncertain plants using Horowitz bounds
8. Parameter tuning in trading algorithms using ASTA
9. The TOMLAB optimization environment in Matlab
10. Lipschitzian optimization without the Lipschitz constant
11. Optimal PID controllers including roll off and smith predictor structure
12. ∞ control in a unified framework
13. A new algorithm for μ-synthesis
14. Two-degree-of-freedom controller design for an ill-conditioned distillation process using μ synthesis
15. ∞ synthesis
16. A convex parametrization of robustly stabilizing controllers
17. Beyond singular values and loop shapes
18. A new approach to μ-synthesis for mixed perturbation sets
19. Controller design with mixed uncertainties