An approach to adaptive control using real time identification

Authors:
J. Wieslander;B. Wittenmark
Affiliations:
Division of Automatic Control, Lund Institute of Technology, Lund, Sweden;Division of Automatic Control, Lund Institute of Technology, Lund, Sweden
Venue:
Automatica (Journal of IFAC)
Year:
1971

Citing 0
Cited 8

Paper: A self-tuning regulator for distributed parameter systems

Automatica (Journal of IFAC)
A technique for dual adaptive control

Automatica (Journal of IFAC)
Estimation of noise covariance matrices for a linear time-varying stochastic process

Automatica (Journal of IFAC)
Successful adaptive control of paper machines

Automatica (Journal of IFAC)
Brief paper: On the dual-adaptive control and its practical applications

Automatica (Journal of IFAC)
Brief Paper: Simultaneous Constrained Model Predictive Control and Identification of DARX Processes

Automatica (Journal of IFAC)
Paper: Dual adaptive control of chip refiner motor load

Automatica (Journal of IFAC)
On self tuning regulators

Automatica (Journal of IFAC)

Quantified Score

Hi-index	22.16

Visualization

Abstract

An adaptive controller consisting of a real time identifier and a minimum variance regulator is discussed. The identification is done by augmenting the state with the unknown parameters of the process. This usually leads to a non-linear filtering problem. By choosing a model of special structure the problem can, however, be reduced to a linear problem. The control law is derived using stochastic optimal control theory. By choosing a special criterion, the stochastic control problem can be solved analytically. The behaviour of the adaptive controller is illustrated in two examples.