Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
Abstract. In this paper we focus on design of a class of distributed embedded systems that primarily perform real-time controlling tasks. We propose a two-layer component model for...
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...
—In this paper we propose the progressive clamping method to better model the kinematic anisotropy of joint limits for virtual mannequins or robots. Like recent approaches our me...
In the Software/Hardware Engineering model-driven design methodology, preservation of real-time system properties can be guaranteed in the model synthesis up to a small time-deviat...