Automatica (Journal of IFAC)
System identification-A survey
Automatica (Journal of IFAC)
Cross-directional control of sheet and film processes
Automatica (Journal of IFAC)
Information Sciences: an International Journal
Paper: A self-tuning regulator for multivariable systems
Automatica (Journal of IFAC)
Paper: A multivariable self-tuning controller
Automatica (Journal of IFAC)
Brief paper: Multivariable tuning regulators for unknown systems
Automatica (Journal of IFAC)
Paper: Parameterization issues in multivariable adaptive control
Automatica (Journal of IFAC)
Paper: Multivariable adaptive predictive control of a binary distillation column
Automatica (Journal of IFAC)
Paper: The role of the interactor matrix in multivariable stochastic adaptive control
Automatica (Journal of IFAC)
Paper: Constrained linear quadratic gaussian control with process applications
Automatica (Journal of IFAC)
Paper: Self-tuning leader-follower games
Automatica (Journal of IFAC)
Brief papers: A multivariable selftuning regulator to control a double effect evaporator
Automatica (Journal of IFAC)
Brief paper: Simulations of adaptive controllers for a paper machine headbox
Automatica (Journal of IFAC)
Hi-index | 22.17 |
Control of a class of multivariable systems described by linear vector difference equations with constant but unknown parameters is discussed. A multivariable minimum variance strategy is first presented. This gives a generalization of the minimum variance strategy for single-input single-output systems. A multivariable self-tuning regulator based on the minimum variance strategy is then proposed. It uses a recursive least squares estimator and a linear controller obtained directly from the current estimates. The asymptotic properties of the algorithm are discussed. If the estimated parameters converge, the resulting controller will under certain conditions give the minimum variance strategy. The analysis also gives insight into the case when several single-input single-output self-tuning regulators are operating in cascade mode.