We describe a framework for robust kinematic design based on tolerance analysis and parametric design via configuration space manipulation. The input is a parametric model of a planar mechanical system comprised of lower and higher kinematic pairs in open or closed loops. The robust synthesis task is to find a nominal design that functions correctly despite small parameter variations. This task...

The paper presents an algorithm for case-based synthesis of single-input single-output power-drive systems based on dynamic behavior design speciications. The case-base consists of electro-mechanical components modelled using the bond-graph formalism. An hierarchical classiication scheme for devices that distinguishes between the functional and structural aspects of a device is described. The s...

the paper is devoted to solution of some problems in nuclear power station generating unit intellectual control systems using genetic algorithms on the basis of control system model development, optimizations methods of their direct quality indices and improved integral quadratic estimates. some mathematical vector models were obtained for control system multicriterion quality indices with due ...

The traffic within the branches of a communication network is often a random variable with an approximate multivariate normal distribution. The analysis of such systems has been discussed in a previous paper. In this paper, we consider the optimum synthesis problem. Nonlinear and linear programming is used to guarantee that a given flow rate probability between a specified pair of terminals is ...

We present a semi-parametric approach to photographic image synthesis from semantic layouts. The approach combines the complementary strengths of parametric and nonparametric techniques. The nonparametric component is a memory bank of image segments constructed from a training set of images. Given a novel semantic layout at test time, the memory bank is used to retrieve photographic references ...

For controllable timed automata, a general parametric optimization framework based on automatatheory is proposed. The framework is general enough to incorporate both the parametric analysis problem and the controller synthesis problem of computer systems. We propose an algorithm for the construction of the characterization of the parameter constraints and controller synthesis, which in turn yie...

In humanoid robotics, the recognition and synthesis of parametric movements plays an extraordinary role for robot human interaction. Such a parametric movement is a movement of a particular type (semantic), for example, similar pointing movements performed at different table-top positions. For understanding the whole meaning of a movement of a human, the recognition of its type, likewise its pa...

In humanoid robotics, the recognition and synthesis of parametric movements plays an extraordinary role for robot human interaction. Such a parametric movement is a movement of a particular type (semantic), for example, similar pointing movements performed at different table-top positions. For understanding the whole meaning of a movement of a human, the recognition of its type, likewise its pa...