For the quasi-linear parameter varying (quasi-LPV) system with bounded disturbance, a synthesis approach of dynamic output feedback robust model predictive control (OFRMPC) is investigated. The estimation error set is represented by a zonotope and refreshed by the zonotopic set-membership estimation method. By properly refreshing the estimation error set online, the bounds of true state at the next sampling time can be obtained. Furthermore, the feasibility of the main optimization problem at the next sampling time can be determined at the current time. A numerical example is given to illustrate the effectiveness of the approach
International audienceA convexity approach to dynamic output feedback robust model predictive contro...
We propose a method to control linear time-varying (LTV) discrete-time systems subject to bounded pr...
We consider robust output feedback distributed model predictive control (DMPC). The proposed control...
For quasi-linear parameter varying (quasi-LPV) systems with bounded disturbance, a synthesis approac...
International audienceThis paper proposes an approach to deal with the problem of robust output feed...
International audienceThis paper presents a novel robust Model Predictive Control (MPC) algorithm fo...
ISBN-13: 978-1848215894This title focuses on two significant problems in the field of automatic cont...
For the constrained linear parameter varying (LPV) system with bounded disturbance, a dynamic output...
The problem of robust constrained model predictive control (MFC) of systems with polytopic uncertain...
International audienceThis paper presents an improved technique for guaranteed zonotopic state estim...
This paper combines model predictive control (MPC) and set-membership (SM) state estimation techniqu...
6 pagesInternational audienceThis paper proposes a novel model predictive controller for polytopic l...
The problem of dynamic output feedback robust model predictive control (MPC) for linear parameter va...
In this note, a discrete-time robust model predictive control (MPC) design approach is proposed to c...
An off-line robust constrained model predictive control (MPC) algorithm for linear time-varying (LTV...
International audienceA convexity approach to dynamic output feedback robust model predictive contro...
We propose a method to control linear time-varying (LTV) discrete-time systems subject to bounded pr...
We consider robust output feedback distributed model predictive control (DMPC). The proposed control...
For quasi-linear parameter varying (quasi-LPV) systems with bounded disturbance, a synthesis approac...
International audienceThis paper proposes an approach to deal with the problem of robust output feed...
International audienceThis paper presents a novel robust Model Predictive Control (MPC) algorithm fo...
ISBN-13: 978-1848215894This title focuses on two significant problems in the field of automatic cont...
For the constrained linear parameter varying (LPV) system with bounded disturbance, a dynamic output...
The problem of robust constrained model predictive control (MFC) of systems with polytopic uncertain...
International audienceThis paper presents an improved technique for guaranteed zonotopic state estim...
This paper combines model predictive control (MPC) and set-membership (SM) state estimation techniqu...
6 pagesInternational audienceThis paper proposes a novel model predictive controller for polytopic l...
The problem of dynamic output feedback robust model predictive control (MPC) for linear parameter va...
In this note, a discrete-time robust model predictive control (MPC) design approach is proposed to c...
An off-line robust constrained model predictive control (MPC) algorithm for linear time-varying (LTV...
International audienceA convexity approach to dynamic output feedback robust model predictive contro...
We propose a method to control linear time-varying (LTV) discrete-time systems subject to bounded pr...
We consider robust output feedback distributed model predictive control (DMPC). The proposed control...