Add to ORKGSelf-tuning is applied to the minimum variance control of non-linear multivariable systems which can be characterized by a ' multivariable Hammerstein model '. It is also shown that such systems are not amenable to self-tuning control if control costing is to be included in the performance criterion
A self-tuning controller which automatically assigns weightings to control and set-point following i...
Hammerstein models have been considered as a class of well-known nonlinear systems, which have been ...
In this paper, we propose a new self-tuning con-trol for continuous-time linear time invariant MIMO ...
Self-tuning is applied to the minimum variance control of non-linear multivariable systems which can...
Self-tuning is applied to the control of nonlinear systems represented by the Hammerstein model wher...
The design of a minimum variance regulator for systems operating in dynamical uncertain environments...
The design of a minimum variance regulator for systems operating in dynamical uncertain environments...
The design of a minimum variance regulator for systems operating in dynamical uncertain environments...
The design of a minimum variance regulator for systems operating in dynamical uncertain environments...
In this paper, we developed the parametric estimation and the self-tuning control problem of the non...
This paper deals with the self-tuning regulator for large-scale stochastic nonlinear systems, which ...
A minimum-variance self tuning controller with a nonlinear difference equation structure is describe...
Abstract: The stability of adaptive control systems has been studied extensively for minimum phase s...
The problem of controlling a system with constant but unknown parameters is considered. The analysis...
A new approach for analyzing the stability and the convergence of multivariable deterministic self-t...
A self-tuning controller which automatically assigns weightings to control and set-point following i...
Hammerstein models have been considered as a class of well-known nonlinear systems, which have been ...
In this paper, we propose a new self-tuning con-trol for continuous-time linear time invariant MIMO ...
Self-tuning is applied to the minimum variance control of non-linear multivariable systems which can...
Self-tuning is applied to the control of nonlinear systems represented by the Hammerstein model wher...
The design of a minimum variance regulator for systems operating in dynamical uncertain environments...
The design of a minimum variance regulator for systems operating in dynamical uncertain environments...
The design of a minimum variance regulator for systems operating in dynamical uncertain environments...
The design of a minimum variance regulator for systems operating in dynamical uncertain environments...
In this paper, we developed the parametric estimation and the self-tuning control problem of the non...
This paper deals with the self-tuning regulator for large-scale stochastic nonlinear systems, which ...
A minimum-variance self tuning controller with a nonlinear difference equation structure is describe...
Abstract: The stability of adaptive control systems has been studied extensively for minimum phase s...
The problem of controlling a system with constant but unknown parameters is considered. The analysis...
A new approach for analyzing the stability and the convergence of multivariable deterministic self-t...
A self-tuning controller which automatically assigns weightings to control and set-point following i...
Hammerstein models have been considered as a class of well-known nonlinear systems, which have been ...
In this paper, we propose a new self-tuning con-trol for continuous-time linear time invariant MIMO ...