A method based on the use of an Adaptive Control Module (ACM) made thanks to the knowledge of the process state description is presented. The outputs of this module are the actual process commands and the inputs are constituted by an auxiliary control signal set. Each auxiliary control signal is computed by a usual SISO controller (e. g. PI type). The ACM structure and parameters are determined in order to obtain the desired dynamics between the auxiliary control signals and the process outputs. When the process inputs come into saturation, it is possible - thanks to the ACM - to project these input saturations into the state variable space and to choose among the set points specifications which of them may be lost and which must be held. T...
Adaptive inverse control is an automatic control-system design method which “learns ” over time how ...
This paper is concerned with the derivation of a model reference adaptive control (MRAC) scheme for ...
grantor: University of TorontoIn this thesis, a family of adaptive control problems is ex...
In this paper, an extension of adaptive linearizing control laws of single input-single output (SISO...
Bilinear systems are attractive candidates for many dynamical processes, since they allow a signific...
Control configuration selection is the procedure of choosing the appropriate input and output pairs ...
This thesis concerns modeling and control of bilinear systems (BLS). BLS are linear but not jointly ...
Abstract: Adaptive inverse control is an automatic control-system design method which “learns ” over...
Bilinear systems are attractive candidates for many dynamical processes, since they allow a signific...
Bilinear systems are attractive candidates for many dynamical processes, since they allow a signific...
The paper deals with continous-time adaptive control of multi input-multi output nonlinear processes...
Control configuration selection is the procedure of choosing the appropriate input and output pairs ...
Bilinear systems are attractive candidates for many dynamical processes, since they allow a signific...
At present, the control of a dynamic system (the ‘$plant”) is generally done by means of feedback. T...
This paper presents real - time control of the Twin Rotor MIMO System laboratory model. The objectiv...
Adaptive inverse control is an automatic control-system design method which “learns ” over time how ...
This paper is concerned with the derivation of a model reference adaptive control (MRAC) scheme for ...
grantor: University of TorontoIn this thesis, a family of adaptive control problems is ex...
In this paper, an extension of adaptive linearizing control laws of single input-single output (SISO...
Bilinear systems are attractive candidates for many dynamical processes, since they allow a signific...
Control configuration selection is the procedure of choosing the appropriate input and output pairs ...
This thesis concerns modeling and control of bilinear systems (BLS). BLS are linear but not jointly ...
Abstract: Adaptive inverse control is an automatic control-system design method which “learns ” over...
Bilinear systems are attractive candidates for many dynamical processes, since they allow a signific...
Bilinear systems are attractive candidates for many dynamical processes, since they allow a signific...
The paper deals with continous-time adaptive control of multi input-multi output nonlinear processes...
Control configuration selection is the procedure of choosing the appropriate input and output pairs ...
Bilinear systems are attractive candidates for many dynamical processes, since they allow a signific...
At present, the control of a dynamic system (the ‘$plant”) is generally done by means of feedback. T...
This paper presents real - time control of the Twin Rotor MIMO System laboratory model. The objectiv...
Adaptive inverse control is an automatic control-system design method which “learns ” over time how ...
This paper is concerned with the derivation of a model reference adaptive control (MRAC) scheme for ...
grantor: University of TorontoIn this thesis, a family of adaptive control problems is ex...