Robust optimal control of linear discrete-time systems using primal-dual interior-point methods

Proceedings of the American Control Conference

Volumn 1, Issue , 1998, Pages 183-187

  Hansson, Anders ^a   Boyd, Stephen ^a  

^a Stanford University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL SIGNAL; DISCRETE-TIME MODEL; INEQUALITY CONSTRAINT; LINEAR DISCRETE-TIME SYSTEMS; OPTIMIZATION PROBLEMS; PRIMAL-DUAL INTERIOR POINT METHODS; QUADRATIC PERFORMANCE CRITERION; ROBUST OPTIMAL CONTROL;

CONSTRAINT THEORY; DIGITAL CONTROL SYSTEMS; MODEL PREDICTIVE CONTROL; OPTIMAL CONTROL SYSTEMS; PREDICTIVE CONTROL SYSTEMS;

DISCRETE TIME CONTROL SYSTEMS;

EID: 84881337706     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACC.1998.694654     Document Type: Conference Paper

References (11)

1. K. J. Åström and A.-B. Osterberg. A modern teaching laboratory for process control. IEEE Control Systems Magazine, 6(5):37-42, 1986.
2. T. Badgwell. Robust model predictive control for nonlinear plants. In Proceedings of the Annual AIChE Meeting, Chicago, IL, 1996.
3. S. Boyd and C. H. Barratt. Linear Controller Design - Limits of Performance. Prentice Hall, Englewood Cliffs, 1991.
4. S. Boyd, L. El Ghaoui, E. Feron, and V. Balakrishnan. Linear Matrix Inequalities in System and Control Theory. SIAM, Philadelphia, 1994.
5. N. Karmarkar. A new polynomial-time algorithm for linear programming. Combinatorica, 4(4):373-395, 1984.
6. M. Morari and J. H. Lee. Model predictive control: Past, present and future. In 6th International Symposium on Process Systems Engineering, 1997.
7. Yu. Nesterov and A. Nemirovsky. Interior-Poiunt Polynomial Methods in Convex Programming. SIAM, Philadelphia, 1994.
8. C. V. Rao, S. J. Wright, and J. B. Rawlings. Application of interior-point methods to model predictive control. Preprint ANL/MCS-P664-0597, Mathematics and Computer Science Division, Argonne National Laboratory, May 1997.
9. S. J. Wright. Interior-point methods for optimal control of discrete-time systems. J. Optim. Theory Appls., 77:161-187, 1993.
10. S. J. Wright. Applying new optimization algorithms to model predictive control. Chemical Process Control-V, 1996. to appear.
11. S. J. Wright. Primal-Dual Interior-Point Methods. SIAM, Philadelphia, 1997.