The aim of this paper is to utilise the concept of ‘highly informative training data’ such that, using Markov chain Monte Carlo (MCMC) methods, one can apply Bayesian system identification to multi-degree-offreedom nonlinear systems with relatively little computational cost. Specifically, the Shannon entropy is used as a measure of information content such that, by analysing the information con...

The dynamics of mechanical systems with dry friction elements, modeled by set-valued force laws, can be described by differential inclusions. The switching and set-valued nature of the friction force law is responsible for the hybrid character of such models. An equilibrium set of such a differential inclusion corresponds to a stationary mode for which the friction elements are sticking. The at...

This paper presents a new approach to accurate and reliable dead-reckoning with mobile robots. The approach makes use of special properties of our recently developed Multi-Degreeof-Freedom (MDOF) mobile platform, in which two differential-drive mobile robots (called "trucks") are physically connected through a compliant linkage. Using one linear and two rotary encoders, the system can measure t...

The spectral characteristics are important quantities in describing random processes. Proper definitions of these quantities are available for realvalued stationary and non-stationary processes. In this paper, the well-established definitions of spectral characteristics for real-valued stationary and non-stationary processes are extended to general complex-valued non-stationary random processes...

The authors attempt to extend their previous efforts towards a reliable control scheme that guarantees a specified degree of reliability for civil engineering structures. Herein, a two degree-of-freedom system is examined. Covariance control techniques are explored to design a compensator that will provide optimal closed-loop performance, while satisfying a constraint on system reliability. It ...