Robust mechanism synthesis ensures that the performance of a mechanism is not sensitive to uncertainties in the mechanism and its environment. The uncertainties include the dimension variations, installation errors, random input motion, and various external forces. Robust mechanism synthesis is used to minimize the impact of these uncertainties on the mechanism performance. Robust mechanism synthesis has been performed by either a probabilistic approach or a worst case approach. The former approach describes uncertain parameters as random variables while the latter approach treats uncertain parameters as interval variables. In this work, methods are developed for robustness assessment and robust mechanism synthesis when both random and inte...
A robot is typical of systems that are inherently submitted to uncertainties although they should be...
A probabilistic approach to robust controller synthesis for a class of linear and multilinear interv...
first draftThe currently prevailing equilibrium-based approach to mechanism design suffers from a pl...
Robust mechanism synthesis minimizes the impact of uncertainties on the mechanism performance. It ha...
The dimension variables of a mechanism vary randomly within their tolerance ranges. Likewise, the po...
International audienceThis paper provides a new robust design method to dimension a mechanism and to...
We introduce a new class of mechanisms, robust mechanisms, that is an intermediary between ex-post m...
This essay is the introduction for a collection of papers by the two of us on “Robust Mechanism Desi...
In many engineering applications, both random and interval variables may exist. The mixture of both ...
International audienceEvery engineering design is subject to variations that can arise from a variet...
The objective of this research is to increase the robustness of discrete-event simulation (DES) when...
In traditional probabilistic mechanism synthesis, point kinematic reliability is employed. Point kin...
In many engineering applications, both random and interval variables exist. The mixture of both type...
International audienceA method to design robust performances controllers is proposed in this paper. ...
Uncertainty associated with input parameters and models in simulation has gained attentions in recen...
A robot is typical of systems that are inherently submitted to uncertainties although they should be...
A probabilistic approach to robust controller synthesis for a class of linear and multilinear interv...
first draftThe currently prevailing equilibrium-based approach to mechanism design suffers from a pl...
Robust mechanism synthesis minimizes the impact of uncertainties on the mechanism performance. It ha...
The dimension variables of a mechanism vary randomly within their tolerance ranges. Likewise, the po...
International audienceThis paper provides a new robust design method to dimension a mechanism and to...
We introduce a new class of mechanisms, robust mechanisms, that is an intermediary between ex-post m...
This essay is the introduction for a collection of papers by the two of us on “Robust Mechanism Desi...
In many engineering applications, both random and interval variables may exist. The mixture of both ...
International audienceEvery engineering design is subject to variations that can arise from a variet...
The objective of this research is to increase the robustness of discrete-event simulation (DES) when...
In traditional probabilistic mechanism synthesis, point kinematic reliability is employed. Point kin...
In many engineering applications, both random and interval variables exist. The mixture of both type...
International audienceA method to design robust performances controllers is proposed in this paper. ...
Uncertainty associated with input parameters and models in simulation has gained attentions in recen...
A robot is typical of systems that are inherently submitted to uncertainties although they should be...
A probabilistic approach to robust controller synthesis for a class of linear and multilinear interv...
first draftThe currently prevailing equilibrium-based approach to mechanism design suffers from a pl...