The problem of satisfying input and state-dependent inequality constraints in feedback control systems is addressed. The proposed solution is based on predicting the evolution of the constrained vector and, accordingly, selecting online the future reference based on both the current state and the desired set-point changes. An analysis is presented so as to establish stability and offset-free properties of the method when embodied in an LQ regulated system. Finally, simulations are used to evaluate the achievable performanc
This paper presents a model predictive control (MPC) based reference governor approach for control o...
This paper combines model predictive control (MPC) and set-membership (SM) state estimation techniqu...
This paper combines model predictive control (MPC) and set-membership (SM) state estimation techniqu...
The problem of satisfying input and state-dependent inequality constraints in feedback control syste...
A method based on conceptual tools of predictive control is described for solving tracking problems ...
A method based on conceptual tools of predictive control is described for solving set-point tracking...
This paper addresses the problem of satisfying pointwise-in-time input and/or state hard constraints...
A method based on conceptual tools of predictive control is described for tackling tracking problems...
This paper presents a new methodology for solving control problems where hard contraints on the stat...
This note addresses the problem of satisfying pointwise-in-time input and/or state hard constraints ...
A method based on conceptual tools of predictive control is described for tackling tracking problems...
This dissertation presents a control technique to cope with set-point tracking problems in the prese...
For a broad class of nonlinear continuous-time systems this paper addresses the problem of satisfyin...
This technical note introduces a novel control law that dynamically modifies the reference of a pre-...
The goal of this paper is to present a systematic method to compute reference dependent positively i...
This paper presents a model predictive control (MPC) based reference governor approach for control o...
This paper combines model predictive control (MPC) and set-membership (SM) state estimation techniqu...
This paper combines model predictive control (MPC) and set-membership (SM) state estimation techniqu...
The problem of satisfying input and state-dependent inequality constraints in feedback control syste...
A method based on conceptual tools of predictive control is described for solving tracking problems ...
A method based on conceptual tools of predictive control is described for solving set-point tracking...
This paper addresses the problem of satisfying pointwise-in-time input and/or state hard constraints...
A method based on conceptual tools of predictive control is described for tackling tracking problems...
This paper presents a new methodology for solving control problems where hard contraints on the stat...
This note addresses the problem of satisfying pointwise-in-time input and/or state hard constraints ...
A method based on conceptual tools of predictive control is described for tackling tracking problems...
This dissertation presents a control technique to cope with set-point tracking problems in the prese...
For a broad class of nonlinear continuous-time systems this paper addresses the problem of satisfyin...
This technical note introduces a novel control law that dynamically modifies the reference of a pre-...
The goal of this paper is to present a systematic method to compute reference dependent positively i...
This paper presents a model predictive control (MPC) based reference governor approach for control o...
This paper combines model predictive control (MPC) and set-membership (SM) state estimation techniqu...
This paper combines model predictive control (MPC) and set-membership (SM) state estimation techniqu...