Handling input and state constraints in predictive functional control

In practical control problems, process constraints must be taken into account in the control design in order to optimize closed-loop performance. The authors describe how this is achieved for the predictive functional control technique. Input constraints are incorporated explicitly in the control ca...

Full description

Saved in:
Bibliographic Details
Published inIEEE Decision and Control, 1991 pp. 985 - 990 vol.1
Main Authors Abu el, A.-D.S., Fiani, P., Richalet, J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1991
Subjects
Acceleration
Chemical industry
Constraint optimization
Control systems
Industrial control
Optimal control
Predictive control
Process control
Quadratic programming
Thermal variables control
Online AccessGet full text
ISBN0780304500
9780780304505
DOI10.1109/CDC.1991.261472

Cover

More Information
Summary:In practical control problems, process constraints must be taken into account in the control design in order to optimize closed-loop performance. The authors describe how this is achieved for the predictive functional control technique. Input constraints are incorporated explicitly in the control calculations with different possible levels of optimality and state constraints are handled through a logic-based strategy. Simulation examples are given to illustrate the efficiency of both procedures.< >
ISBN:0780304500
9780780304505
DOI:10.1109/CDC.1991.261472