Iterative Excitation Signal Design for Nonlinear Dynamic Black-Box Models

Recursive Black-box Identification of Nonlinear State-space ODE Models

Nonlinear system identification methods is a topic that has been gaining interest over the last years. One reason is the many application areas in controller design and system development. However, the problem of modeling nonlinear systems is complex and finding a general method that can be used for many different applications is difficult. This thesis treats recursive identification methods fo...

Nonlinear Black - Box Models in System Identi cation : Mathematical

Using Nonlinear Black-box Models in Fault Detection and Isolation

A method for fault detection is proposed using nonlinear black-box models, such as polynomial regression and neural networks. Compared to existing methods, this proposed method has the advantage of not requiring model training under all the possible faulty modes of the monitored system. Partial physical knowledge , if available, can be combined with the nonlinear black-box model to perform faul...

Black-box Fault Models

Four black-box fault models are introduced in the paper. The test generation task for the black-box model is more complicated, because possible realizations of the design must be taken into account. However, the time required to generate tests is not very critical factor, because the test generation can be done in parallel with the circuit synthesis process without a prolongation of Time-to-Mar...

Towards Black-box Iterative Machine Teaching

In this paper, we make an important step towards the black-box machine teaching by considering the cross-space teaching setting, where the teacher and the learner use different feature representations and the teacher can not fully observe the learner’s model. In such scenario, we study how the teacher is still able to teach the learner to achieve a faster convergence rate than the traditional p...