This paper investigates the design of nonlinear controllers for process plant applications that could be modeled by relatively low order uncertain dynamics, such as industrial processes (e.g. level, flow, pressure, etc.) and also some automotive applications (e.g. active suspension). The design technique is based on using a combination of state feedback and Lyapunov-based techniques. The key is...

We introduce a new nonlinear model for classification, in which we model the joint distribution of response variable, y, and covariates, x, non-parametrically using Dirichlet process mixtures. We keep the relationship between y and x linear within each component of the mixture. The overall relationship becomes nonlinear if the mixture contains more than one component, with different regression ...

The main contribution of this paper is to present a non-linear observability analysis method of Activated Sludge Models (ASM), which are used in many control applications. The objective is to reduce the unobservable ASM1 model to an observable one that can be used to implement advanced estimation algorithms. Local observability is achieved under certain operating conditions but failed at some p...

We develop a rigorous electromagnetic theory of diffraction of light by a grating impressed on a nonlinear material. The theory can be used to study Surface. Enhanced Raman Scattering or Second Harmonic Generation.