Nael H. El-Farra

Learn More
This work considers the problem of stabilization of nonlinear systems subject to state and control constraints. We propose a Lyapunov-based predictive control design that guarantees stabilization and state and input constraint satisfaction from an explicitly characterized set of initial conditions. An auxiliary Lyapunov-based analytical bounded control(More)
In this work, a predictive control framework is proposed for the constrained stabilization of switched nonlinear systems that transit between their constituent modes at prescribed switching times. The main idea is to design a Lyapunov-based predictive controller for each constituent mode in which the switched system operates and incorporate constraints in(More)
Multiple sets of experimental data have shown that the red blood cell (RBC) consumes nitric oxide (NO) about 600–1000-fold slower than the equivalent concentration of cell-free hemoglobin (Hb). Diffusion barriers of various sources have been suggested to explain this observation. In this work, a multicellular, spatially distributed, two-dimensional model,(More)
This work proposes a hybrid nonlinear output feedback control methodology for a broad class of switched nonlinear systems with input constraints. The key feature of the proposed methodology is the integrated synthesis, via multiple Lyapunov functions, of “lower-level” nonlinear output feedback controllers together with “upper-level” switching laws, based on(More)
This work focuses on predictive control of linear parabolic partial differential equations (PDEs) with state and control constraints. Initially, the PDE is written as an infinite-dimensional system in an appropriate Hilbert space. Next, modal decomposition techniques are used to derive a finite-dimensional system that captures the dominant dynamics of the(More)
This paper discusses theoretical foundations for the modeling, analysis and control of chemical process networks that are tightly integrated through complex material, energy and information flows. The physical behavior of process networks is described using fundamental concepts from classical thermodynamics, while time-scale decomposition and singular(More)