Research output: Contribution to Journal/Magazine › Conference article › peer-review
Proportional-integral-plus (PIP) design for stochastic delta operator systems. / Chotai, A.; Young, P. C.; Tych, W. et al.
In: IEE Conference Publication, Vol. 1, No. 389, 1994, p. 75-80.Research output: Contribution to Journal/Magazine › Conference article › peer-review
}
TY - JOUR
T1 - Proportional-integral-plus (PIP) design for stochastic delta operator systems
AU - Chotai, A.
AU - Young, P. C.
AU - Tych, W.
AU - Lees, M.
PY - 1994
Y1 - 1994
N2 - The paper shows how Proportional-Integral-Plus (PIP) control system design for rapidly sampled systems described by delta (δ) operator transfer function models is based on the formulation of a special Non-Minimum State Space (NMSS) representation, whose state variables are the discrete-time derivatives of the output and input signals. The stochastic version of this model provides the basis for Linear Quadratic Gaussian (LQG) control system design in the δ domain. As in the more conventional minimum state space situation, the state variable feedback PIP control law is obtained straightforwardly by the introduction of a Kalman filter and the application of the separation principle. Although the resulting PIP control system is simple to implement, its exploitation of state variable feedback (SVF) ensures the power and flexibility of its operation.
AB - The paper shows how Proportional-Integral-Plus (PIP) control system design for rapidly sampled systems described by delta (δ) operator transfer function models is based on the formulation of a special Non-Minimum State Space (NMSS) representation, whose state variables are the discrete-time derivatives of the output and input signals. The stochastic version of this model provides the basis for Linear Quadratic Gaussian (LQG) control system design in the δ domain. As in the more conventional minimum state space situation, the state variable feedback PIP control law is obtained straightforwardly by the introduction of a Kalman filter and the application of the separation principle. Although the resulting PIP control system is simple to implement, its exploitation of state variable feedback (SVF) ensures the power and flexibility of its operation.
UR - http://www.scopus.com/inward/record.url?scp=0028131094&partnerID=8YFLogxK
U2 - 10.1049/cp:19940112
DO - 10.1049/cp:19940112
M3 - Conference article
AN - SCOPUS:0028131094
VL - 1
SP - 75
EP - 80
JO - IEE Conference Publication
JF - IEE Conference Publication
SN - 0537-9989
IS - 389
T2 - Proceedings of the International Conference on CONTROL '94. Part 1 (of 2)
Y2 - 21 March 1994 through 24 March 1994
ER -