This paper presents a data-centric modeling and predictive control approach for nonlinear hybrid systems. System identification of hybrid systems represents a challenging problem b...
Abstract. For real time object recognition and tracking often color-based methods are used. While these methods are very efficient, they usually dependent heavily on lighting cond...
Thilo Weigel, Dapeng Zhang 0002, Klaus Rechert, Be...
Dependable distributed systems are difficult to build. This is particularly true if they have dependability requirements that change during the execution of an application, and are...
Michel Cukier, Jennifer Ren, Chetan Sabnis, David ...
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...