Bilinear systems are attractive candidates for many dynamical processes, since they allow a significantly larger class of behaviour than linear systems, yet retain a rich theory which is closely related to the familiar theory of linear systems. A new technique for the control of unknown MIMO bilinear systems is introduced. The scheme is based on the U-model with identification based on radial basis functions neural networks which is known for mapping any nonlinear function. U-model is a control oriented model used to represent a wide range of non-linear discrete time dynamic plants. The proposed tracking scheme is presented and verified using simulation example
Bilinear systems are important per se since several phenomena in engineering and other fields are in...
A method based on the use of an Adaptive Control Module (ACM) made thanks to the knowledge of the pr...
In this paper, a learning feedforward controller (LFFC) using the U-model is proposed for a better t...
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...
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...
Bilinear systems offer a promising approach for nonlinear control because a broad class of nonlinear...
A novel technique, involving U-model based IMC (internal model control), is proposed for the adaptiv...
Bilinear systems can be viewed as a bridge between linear and nonlinear systems, providing a promisi...
WOS: 000282402400011PubMed ID: 20471011This paper presents a novel model with radial basis functions...
Bilinear systems offer a promising approach for nonlinear control because a broad class of nonlinear...
Bilinear systems are important per se since several phenomena in engineering and other fields are in...
A method based on the use of an Adaptive Control Module (ACM) made thanks to the knowledge of the pr...
In this paper, a learning feedforward controller (LFFC) using the U-model is proposed for a better t...
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...
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...
Bilinear systems offer a promising approach for nonlinear control because a broad class of nonlinear...
A novel technique, involving U-model based IMC (internal model control), is proposed for the adaptiv...
Bilinear systems can be viewed as a bridge between linear and nonlinear systems, providing a promisi...
WOS: 000282402400011PubMed ID: 20471011This paper presents a novel model with radial basis functions...
Bilinear systems offer a promising approach for nonlinear control because a broad class of nonlinear...
Bilinear systems are important per se since several phenomena in engineering and other fields are in...
A method based on the use of an Adaptive Control Module (ACM) made thanks to the knowledge of the pr...
In this paper, a learning feedforward controller (LFFC) using the U-model is proposed for a better t...