International audienceThis paper proposes a new approach for set-membership state estimation of switched discrete-time linear systems subject to bounded disturbances and noises. A zonotopic outer approximation of the state estimation domain is computed and a new criterion is proposed to reduce the size of the zonotope at each sample time. The zonotopic set-membership estimator design for switched systems is provided within the LMI framework. The extension of the proposed scheme to deal with unknown inputs is also presented. An application to vehicle lateral dynamics state estimation is provided. Simulation results demonstrate the effectiveness of the proposed algorithm and highlight its advantages over the existing methods
International audienceIn this work state estimation for unknown input discrete-time linear systems i...
This paper presents a method for guaranteed state estimation of discrete time piecewise affine syste...
International audienceThis paper proposes a methodology for guaranteed state estimation of multivari...
International audienceThis work is devoted to the problem of guaranteed set-membership state estimat...
This work is devoted to the problem of guaranteed set-membership state estimation based on zonotopes...
International audienceThis paper presents an improved method for guaranteed state estimation of disc...
This paper proposes an improved zonotopic method to set membership state estimation for nonlinear di...
This paper presents an improved approach for guaranteed state estimation combining set-membership es...
International audienceThis paper proposes a methodology for guaranteed state estimation of linear di...
18th World CongressThe International Federation of Automatic ControlMilano (Italy) August 28 - Septe...
International audienceThis paper presents an improved technique for guaranteed zonotopic state estim...
This paper is concerned with the interval estimation for discrete-time linear switched systems affec...
A distributed set-membership approach is proposed for the state estimation of large-scale systems. T...
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
International audienceThis paper presents a new set-membership estimation methodology for uncertain ...
International audienceIn this work state estimation for unknown input discrete-time linear systems i...
This paper presents a method for guaranteed state estimation of discrete time piecewise affine syste...
International audienceThis paper proposes a methodology for guaranteed state estimation of multivari...
International audienceThis work is devoted to the problem of guaranteed set-membership state estimat...
This work is devoted to the problem of guaranteed set-membership state estimation based on zonotopes...
International audienceThis paper presents an improved method for guaranteed state estimation of disc...
This paper proposes an improved zonotopic method to set membership state estimation for nonlinear di...
This paper presents an improved approach for guaranteed state estimation combining set-membership es...
International audienceThis paper proposes a methodology for guaranteed state estimation of linear di...
18th World CongressThe International Federation of Automatic ControlMilano (Italy) August 28 - Septe...
International audienceThis paper presents an improved technique for guaranteed zonotopic state estim...
This paper is concerned with the interval estimation for discrete-time linear switched systems affec...
A distributed set-membership approach is proposed for the state estimation of large-scale systems. T...
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
International audienceThis paper presents a new set-membership estimation methodology for uncertain ...
International audienceIn this work state estimation for unknown input discrete-time linear systems i...
This paper presents a method for guaranteed state estimation of discrete time piecewise affine syste...
International audienceThis paper proposes a methodology for guaranteed state estimation of multivari...