Title :
Performance improvement of multivariable linear system with unmeasured external disturbance
Author_Institution :
Foxboro Co., MA, USA
Abstract :
In this paper, we present a system design criterion which improves the performance of the general multivariable linear system with unmeasured external disturbances. We use the Lyapunov function to find the upper bound of the integral square error (ISE) which serves as a measurement of system performance in process control. We point out the relationship between the upper bound of ISE and the related convergence rate. The design criterion shows how the system matrix plays an important role in reducing overall ISE. The results presented can be used as a general system design criterion for a multivariable linear system with better disturbance rejection
Keywords :
Lyapunov methods; control system synthesis; linear systems; multivariable control systems; process control; Lyapunov function; convergence rate; disturbance rejection; integral square error; multivariable linear system; process control; system design criterion; system matrix; system performance; unmeasured external disturbance; upper bound; Control systems; Integral equations; Linear systems; Lyapunov method; MIMO; Process control; System performance; Three-term control; Time measurement; Upper bound;
Conference_Titel :
Control Applications, 1999. Proceedings of the 1999 IEEE International Conference on
Conference_Location :
Kohala Coast, HI
Print_ISBN :
0-7803-5446-X
DOI :
10.1109/CCA.1999.806212
