Displaying similar documents to “Adaptive tests of qualitative hypotheses”

Controlled functional differential equations: approximate and exact asymptotic tracking with prescribed transient performance

Eugene P. Ryan, Chris J. Sangwin, Philip Townsend (2008)

ESAIM: Control, Optimisation and Calculus of Variations

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A tracking problem is considered in the context of a class 𝒮 of multi-input, multi-output, nonlinear systems modelled by controlled functional differential equations. The class contains, as a prototype, all finite-dimensional, linear, -input, -output, minimum-phase systems with sign-definite “high-frequency gain". The first control objective is tracking of reference signals by the output of any system in 𝒮 : given λ 0 , construct a feedback strategy which ensures that, for every (assumed...

Nonlinear diffusion equations with variable coefficients as gradient flows in Wasserstein spaces

Stefano Lisini (2008)

ESAIM: Control, Optimisation and Calculus of Variations

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We study existence and approximation of non-negative solutions of partial differential equations of the type 
 t u - div ( A ( ( f ( u ) ) + u V ) ) = 0 in ( 0 , + ) × n , ( 0 . 1 ) where is a symmetric matrix-valued function of the spatial variable satisfying a uniform ellipticity condition, f : [ 0 , + ) [ 0 , + ) is a suitable non decreasing function, V : n is a convex function. Introducing the energy functional φ ( u ) = n F ( u ( x ) ) d x + n V ( x ) u ( x ) d x , where is a convex function linked to by f ( u ) = u F ' ( u ) - F ( u ) , we show that is the “gradient flow” of with respect to the 2-Wasserstein distance between probability measures on the...

On the -stabilization of the double integrator subject to input saturation

Yacine Chitour (2010)

ESAIM: Control, Optimisation and Calculus of Variations

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We consider a finite-dimensional control system ( Σ ) x ˙ ( t ) = f ( x ( t ) , u ( t ) ) , such that there exists a feedback stabilizer that renders x ˙ = f ( x , k ( x ) ) globally asymptotically stable. Moreover, for with an output map and 1 p q , we assume that there exists a 𝒦 -function such that H ( x u ) q α ( u p ) , where is the maximal solution of ( Σ ) k x ˙ ( t ) = f ( x ( t ) , k ( x ( t ) ) + u ( t ) ) , corresponding to and to the initial condition . Then, the gain function G ( H , p , q ) of given by 14.5cm G ( H , p , q ) ( X ) = def sup u p = X H ( x u ) q , is well-defined. We call profile of for any 𝒦 -function which is of the same order of magnitude...