The main inversion-based control architectures are the plant and closed-loop inversion architectures. For scalar continuous-time linear systems, these architectures are shown to be fully equivalent for both the minimum and nonminimum-phase cases when exact stable inverses are used. This equivalence, deduced by using a behavioral approach, dictates that the two architectures deliver the same performances for any disturbance and mis-modeling affecting the controlled plant. A simulation example highlights that the equivalence still holds in practice when a careful truncation of the preaction control is performed
This paper addresses the problem of modeling and control of linear continuous-time systems with unac...
Approximate Dynamic Inversion has been established as a method to control minimum-phase, nonaffine-i...
To help to achieve high performances in the regulation of linear scalar (SISO) nonminimum-phase syst...
A new simplified behavior theory is proposed to address inversion-based control for linear, nonminim...
Inverse model feedforward enables high performance in tracking control applications. The aim of this...
Although correspondence between the poles of a continuous-time and sampled-data system with a piecew...
This paper describes the use of inverse simulation to develop feedforward controllers for model-bas...
System inversion is at the basis of many feedforward and learning control algorithms. The aim of thi...
Abstract—In this note,1 we propose an optimal inversion-based con-trol for the set-point constrained...
\u3cp\u3eControl performance is limited by nonminimum-phase zeros, for example through the Poisson i...
Nonminimum-phase zeros pose challenges for controller design, i.e., in inversion-based control appro...
Nonminimum-phase zeros pose challenges for controller design, i.e., in inversion-based control appro...
System inversion is at the basis of many feedforward and learning control algorithms. This paper aim...
Feedforward control can enhance the performances in the control and regulation of dynamic systems. W...
Many control applications, including feedforward and learning control, involve the inverse of a dyna...
This paper addresses the problem of modeling and control of linear continuous-time systems with unac...
Approximate Dynamic Inversion has been established as a method to control minimum-phase, nonaffine-i...
To help to achieve high performances in the regulation of linear scalar (SISO) nonminimum-phase syst...
A new simplified behavior theory is proposed to address inversion-based control for linear, nonminim...
Inverse model feedforward enables high performance in tracking control applications. The aim of this...
Although correspondence between the poles of a continuous-time and sampled-data system with a piecew...
This paper describes the use of inverse simulation to develop feedforward controllers for model-bas...
System inversion is at the basis of many feedforward and learning control algorithms. The aim of thi...
Abstract—In this note,1 we propose an optimal inversion-based con-trol for the set-point constrained...
\u3cp\u3eControl performance is limited by nonminimum-phase zeros, for example through the Poisson i...
Nonminimum-phase zeros pose challenges for controller design, i.e., in inversion-based control appro...
Nonminimum-phase zeros pose challenges for controller design, i.e., in inversion-based control appro...
System inversion is at the basis of many feedforward and learning control algorithms. This paper aim...
Feedforward control can enhance the performances in the control and regulation of dynamic systems. W...
Many control applications, including feedforward and learning control, involve the inverse of a dyna...
This paper addresses the problem of modeling and control of linear continuous-time systems with unac...
Approximate Dynamic Inversion has been established as a method to control minimum-phase, nonaffine-i...
To help to achieve high performances in the regulation of linear scalar (SISO) nonminimum-phase syst...