Add to ORKGAbstract: A novel robust predictive control algorithm for input-saturated uncertain linear discrete-time systems with structured norm-bounded uncertainties is presented. The solution is based on the minimization, at each time instant, of a LMI convex optimization problem obtained by a recursive use of the S-procedure. The general case of N free moves is presented. Stability and feasibility are proved and comparisons with robust multi-model (polytopic) MPC algorithms are also presented via an example
In this paper, the problem of robust model predictive control (MPC) for discrete-time linear systems...
The problem of robust constrained model predictive control (MFC) of systems with polytopic uncertain...
Research Doctorate - Doctor of Philosophy (PhD)This thesis addresses the problem of robustness in mo...
This thesis is concerned with the Robust Model Predictive Control (RMPC) of linear discrete-time sys...
For discrete-time linear time-invariant systems with input disturbances and constraints on inputs an...
We address min-max model predictive control (MPC) for uncertain discrete-time systems by a robust dy...
An algorithm for solving feedback min-max model predictive control for discrete-time uncertain linea...
Abstract: An output feedback constrained MPC control scheme for uncertain LFR/Norm-Bounded discrete-...
Controlling a system with control and state constraints is one of the most important problems in con...
For discrete-time uncertain linear systems with constraints on inputs and states, we develop an appr...
In this paper a robust MPC scheme based on a partial-state availability is developed for uncertain d...
A robust model predictive control scheme for a class of constrained norm-bounded uncertain discrete-...
Abstract:- With the hard computation of an exact solution to non-convex optimization problem in a li...
© 2006 IEEE Authorized licensed use limited to: Universidad de Sevilla. Downloaded on March 19,2020 ...
In this paper a new robust Modelbased Predictive Control (MPC) algorithm for linear models with poly...
In this paper, the problem of robust model predictive control (MPC) for discrete-time linear systems...
The problem of robust constrained model predictive control (MFC) of systems with polytopic uncertain...
Research Doctorate - Doctor of Philosophy (PhD)This thesis addresses the problem of robustness in mo...
This thesis is concerned with the Robust Model Predictive Control (RMPC) of linear discrete-time sys...
For discrete-time linear time-invariant systems with input disturbances and constraints on inputs an...
We address min-max model predictive control (MPC) for uncertain discrete-time systems by a robust dy...
An algorithm for solving feedback min-max model predictive control for discrete-time uncertain linea...
Abstract: An output feedback constrained MPC control scheme for uncertain LFR/Norm-Bounded discrete-...
Controlling a system with control and state constraints is one of the most important problems in con...
For discrete-time uncertain linear systems with constraints on inputs and states, we develop an appr...
In this paper a robust MPC scheme based on a partial-state availability is developed for uncertain d...
A robust model predictive control scheme for a class of constrained norm-bounded uncertain discrete-...
Abstract:- With the hard computation of an exact solution to non-convex optimization problem in a li...
© 2006 IEEE Authorized licensed use limited to: Universidad de Sevilla. Downloaded on March 19,2020 ...
In this paper a new robust Modelbased Predictive Control (MPC) algorithm for linear models with poly...
In this paper, the problem of robust model predictive control (MPC) for discrete-time linear systems...
The problem of robust constrained model predictive control (MFC) of systems with polytopic uncertain...
Research Doctorate - Doctor of Philosophy (PhD)This thesis addresses the problem of robustness in mo...