The thesis presents a complete framework for the design of an individual cylinder air-fuel ratio (A/F) controller that aims to further reduce the exhaust emissions of modern automotive gasoline engines. It is well known that this type of controller relies on a correct estimation of the A/F of the individual cylinders. Otherwise, the control system can become unstable. Therefore, the conditions ...

Besides the evaluation of intelligent systems with respect to the accuracy the robustness of such systems is often an important issue to consider. Robustness relates the correct output of a system to possibly incorrect input or possibly biased knowledge included in the system. In this paper we extend the approach by Groot et al. [GvHtT00] by a pre-analysis step considering the used case base an...

Speech watermarking strategies inevitably alter original signal content. Fidelity is adversely affected by increased perturbation while watermark robustness to attack is generally improved. Parameter-embedded watermarking is effected through slight perturbations of parametric models of some deeply integrated dynamics of the speech. Within this framework, a specific algorithm is presented in whi...

In this paper, we present an analytical design approach for the class of bipolar cellular neural networks (CNN’s) which yields optimally robust template parameters. We give a rigorous definition of absolute and relative robustness and show that all well-defined CNN tasks are characterized by a finite set of linear and homogeneous inequalities. This system of inequalities can be analytically sol...

Feature extraction is a main step in all perceptual image hashing schemes in which robust features will led to better results in perceptual robustness. Simplicity, discriminative power, computational efficiency and robustness to illumination changes are counted as distinguished properties of Local Binary Pattern features. In this paper, we investigate the use of local binary patterns for percep...