Add to ORKGIn this paper, a learning feedforward controller (LFFC) using the U-model is proposed for a better tracking control of multivariable nonlinear systems over a finite time interval. The multivariable system is modelled using the U-model and the LFFC is established using Newton-Raphson method. U-model significantly simplifies the online synthesis of the feedforward control law. The proposed technique is verified on 2-link robot manipulator in real-time. The performance of the proposed U-model based LFFC is compared with a number of schemes under varying load conditions
Servo control is usually done by means of model-based feedback controllers, which has two difficulti...
Bilinear systems are attractive candidates for many dynamical processes, since they allow a signific...
The goal of the proposed work is the design of adaptive learning controls for nonlinear systems with...
In this paper, a learning feedforward controller (LFFC) using the U-model is proposed for a better t...
In this paper, a learning feedforward controller (LFFC) using the U-model is proposed for a better t...
Abstract: In this paper, MIMO U-model based IMC is used for the tracking control of multivariable no...
Adaptive tracking of nonlinear dynamic plants is currently an important area of research. The main d...
Adaptive tracking of nonlinear dynamic plants is presently an active area of research. The design of...
Adaptive tracking of nonlinear dynamic plants is an essential element of many control applications. ...
In this paper, we present a new control method firstly for nonlinear systems using Universal Learnin...
For motion control, learning feedforward controllers (LFFCs) should be applied when accurate process...
Inspired by the U-model based control system design (or called U-control system design), this study ...
A method of robot manipulator control is proposed whereby algorithms are used to learn sum of polyno...
This work addresses feedforward disturbance problems and trajectory tracking problems for both small...
A novel technique, involving U-model based IMC (internal model control), is proposed for the adaptiv...
Servo control is usually done by means of model-based feedback controllers, which has two difficulti...
Bilinear systems are attractive candidates for many dynamical processes, since they allow a signific...
The goal of the proposed work is the design of adaptive learning controls for nonlinear systems with...
In this paper, a learning feedforward controller (LFFC) using the U-model is proposed for a better t...
In this paper, a learning feedforward controller (LFFC) using the U-model is proposed for a better t...
Abstract: In this paper, MIMO U-model based IMC is used for the tracking control of multivariable no...
Adaptive tracking of nonlinear dynamic plants is currently an important area of research. The main d...
Adaptive tracking of nonlinear dynamic plants is presently an active area of research. The design of...
Adaptive tracking of nonlinear dynamic plants is an essential element of many control applications. ...
In this paper, we present a new control method firstly for nonlinear systems using Universal Learnin...
For motion control, learning feedforward controllers (LFFCs) should be applied when accurate process...
Inspired by the U-model based control system design (or called U-control system design), this study ...
A method of robot manipulator control is proposed whereby algorithms are used to learn sum of polyno...
This work addresses feedforward disturbance problems and trajectory tracking problems for both small...
A novel technique, involving U-model based IMC (internal model control), is proposed for the adaptiv...
Servo control is usually done by means of model-based feedback controllers, which has two difficulti...
Bilinear systems are attractive candidates for many dynamical processes, since they allow a signific...
The goal of the proposed work is the design of adaptive learning controls for nonlinear systems with...